<?xml version='1.0' encoding='utf-8'?>
<feed xmlns="http://www.w3.org/2005/Atom"><id>tag:pylops.asv,1970-01-01:/11d35eb64b15961c9194864845f29c6c59d5bd87005155a520c55f02b303b483</id><author><name>Airspeed Velocity</name></author><title xml:lang="en">pylops performance regressions</title><updated>2026-09-10T21:02:50Z</updated><entry><id>tag:pylops.asv,2026-09-10:/8529ee091090b26c31c8e65b8b11510fae33f76a4caf33f6d3fa4008b1b0e18e</id><title xml:lang="en">5.70% bench_medical.MRI2D.time_adjoint('scipy')</title><updated>2026-09-10T21:02:50Z</updated><link href="index.html#bench_medical.MRI2D.time_adjoint?branch=dev&amp;p-fft_engine=%27scipy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_medical.MRI2D.time_adjoint?branch=dev&amp;p-fft_engine=%27scipy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.70% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 7.15ms, old value: 6.76ms.&lt;br&gt;
                Latest value: 7.15ms (5.70% worse
                than best value 6.76ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/4f4bd94c96eb1169d3cceb1fa1a441d70eaaa7a48029cb267185ef134d16ce66</id><title xml:lang="en">7.38% bench_fredholm.Fredholm1.time_adjoint(False)</title><updated>2026-09-10T21:02:47Z</updated><link href="index.html#bench_fredholm.Fredholm1.time_adjoint?branch=dev&amp;p-usematmul=False&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_fredholm.Fredholm1.time_adjoint?branch=dev&amp;p-usematmul=False&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;7.38% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 8.07ms, old value: 7.51ms.&lt;br&gt;
                Latest value: 8.07ms (7.38% worse
                than best value 7.51ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/a233c01017a163961aa1924320c601a5ddcabdf83ba5d323bae196a70fb7856b</id><title xml:lang="en">12.93% bench_basicoperators.Spread.time_forward('numpy')</title><updated>2026-09-10T21:02:42Z</updated><link href="index.html#bench_basicoperators.Spread.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Spread.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;12.93% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 256ms, old value: 226ms.&lt;br&gt;
                Latest value: 256ms (12.93% worse
                than best value 226ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/57e8dd189cc207c6e38fe89d0798d40e7df19edcee3aa511cd382383ef322ec8</id><title xml:lang="en">14.93% bench_basicoperators.Spread.time_adjoint('numpy')</title><updated>2026-09-10T21:02:38Z</updated><link href="index.html#bench_basicoperators.Spread.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Spread.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;14.93% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 236ms, old value: 205ms.&lt;br&gt;
                Latest value: 236ms (14.93% worse
                than best value 205ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/d2b03a16b0b9ef547330a7b7ece98be70dfa187e24f751cef1ca9924e1f6e5b8</id><title xml:lang="en">8.98% bench_avo.PrestackWaveletModelling.time_forward</title><updated>2026-09-10T21:02:32Z</updated><link href="index.html#bench_avo.PrestackWaveletModelling.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.PrestackWaveletModelling.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;8.98% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 304μs, old value: 279μs.&lt;br&gt;
                Latest value: 304μs (8.98% worse
                than best value 279μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/38d1417670879b499a355310f21f837334c5a733c6bb554a92d5d3c12b9e55b4</id><title xml:lang="en">17.10% bench_avo.PrestackWaveletModelling.time_adjoint</title><updated>2026-09-10T21:02:31Z</updated><link href="index.html#bench_avo.PrestackWaveletModelling.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.PrestackWaveletModelling.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;17.10% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 330μs, old value: 281μs.&lt;br&gt;
                Latest value: 330μs (17.10% worse
                than best value 281μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/fe6e0b163dab99519f32b6798aa201edb844b180d6feb769eac6bc19c6a40833</id><title xml:lang="en">5.10% bench_wavelets.DWTND.time_adjoint</title><updated>2026-09-10T21:02:08Z</updated><link href="index.html#bench_wavelets.DWTND.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWTND.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.10% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 153ms, old value: 145ms.&lt;br&gt;
                Latest value: 153ms (5.10% worse
                than best value 145ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/19927a5ba78326a11390ed96d50a2d24f8480b4fce9298093c4378a7ca8b47a9</id><title xml:lang="en">7.08% bench_sliding.Sliding3D.time_adjoint</title><updated>2026-09-10T21:01:13Z</updated><link href="index.html#bench_sliding.Sliding3D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_sliding.Sliding3D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;7.08% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 35.9ms, old value: 33.6ms.&lt;br&gt;
                Latest value: 35.9ms (7.08% worse
                than best value 33.6ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/a1141147fa70da6467e8aacd49cdc2c412da48430bc72412f8a9012d8aae3ba6</id><title xml:lang="en">5.46% bench_sliding.Sliding1D.time_forward</title><updated>2026-09-10T21:01:12Z</updated><link href="index.html#bench_sliding.Sliding1D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_sliding.Sliding1D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.46% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 494μs, old value: 468μs.&lt;br&gt;
                Latest value: 494μs (5.46% worse
                than best value 468μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/1b4825bced011461fc03e02a9fba9d16005ef43f912f16287a499892bec1dd60</id><title xml:lang="en">7.10% bench_sliding.Patch3D.time_forward</title><updated>2026-09-10T21:01:10Z</updated><link href="index.html#bench_sliding.Patch3D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_sliding.Patch3D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;7.10% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 28.2ms, old value: 26.3ms.&lt;br&gt;
                Latest value: 28.2ms (7.10% worse
                than best value 26.3ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/94cc5abbe7d39c952d1c5eb0d382bacd1cbb183d149ca1e06837ced5e6fede47</id><title xml:lang="en">5.48% bench_sliding.Patch3D.time_adjoint</title><updated>2026-09-10T21:01:08Z</updated><link href="index.html#bench_sliding.Patch3D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_sliding.Patch3D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.48% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 31.8ms, old value: 30.2ms.&lt;br&gt;
                Latest value: 31.8ms (5.48% worse
                than best value 30.2ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/23663149fdb54ae28ce3a53cbae94a69ae578e8dc4f167140694ab82468d5282</id><title xml:lang="en">18.28% bench_radon.Radon3D.time_forward('numpy')</title><updated>2026-09-10T21:00:55Z</updated><link href="index.html#bench_radon.Radon3D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon3D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;18.28% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 759ms, old value: 642ms.&lt;br&gt;
                Latest value: 759ms (18.28% worse
                than best value 642ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/d51f39e05ca581b4f9d06063b29bc2b3e5fc642fbb428aa49c5362c8888d1cdd</id><title xml:lang="en">20.37% bench_radon.Radon3D.time_forward('numba')</title><updated>2026-09-10T21:00:55Z</updated><link href="index.html#bench_radon.Radon3D.time_forward?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon3D.time_forward?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;20.37% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 35.9ms, old value: 29.9ms.&lt;br&gt;
                Latest value: 35.9ms (20.37% worse
                than best value 29.9ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/2a75c68ac8945b1daa71d5c41e5d89d2b5f8444b693ba7a5159cd76d9c9df542</id><title xml:lang="en">13.64% bench_radon.Radon3D.time_adjoint('numpy')</title><updated>2026-09-10T21:00:44Z</updated><link href="index.html#bench_radon.Radon3D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon3D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;13.64% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 594ms, old value: 523ms.&lt;br&gt;
                Latest value: 594ms (13.64% worse
                than best value 523ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/49f94247b6f3d0c39fb9aab49622062f8f4443718675e745211315c7d09be390</id><title xml:lang="en">13.98% bench_radon.Radon2D.time_forward('numpy')</title><updated>2026-09-10T21:00:26Z</updated><link href="index.html#bench_radon.Radon2D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon2D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;13.98% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 496ms, old value: 435ms.&lt;br&gt;
                Latest value: 496ms (13.98% worse
                than best value 435ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/80df6411f4ab345dfb70b04114d2122884aff19f949adf62c19ab8baaf9bfe5c</id><title xml:lang="en">28.37% bench_radon.Radon2D.time_forward('numba')</title><updated>2026-09-10T21:00:26Z</updated><link href="index.html#bench_radon.Radon2D.time_forward?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon2D.time_forward?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;28.37% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 9.40ms, old value: 7.32ms.&lt;br&gt;
                Latest value: 9.40ms (28.37% worse
                than best value 7.32ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/252b262f9b2a4e5a53f79afa827898d5cb1c4723621ac1c2c4d04cb3b7711986</id><title xml:lang="en">16.81% bench_radon.Radon2D.time_adjoint('numpy')</title><updated>2026-09-10T21:00:18Z</updated><link href="index.html#bench_radon.Radon2D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon2D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;16.81% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 462ms, old value: 395ms.&lt;br&gt;
                Latest value: 462ms (16.81% worse
                than best value 395ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/46fa857ebe21b77a52063260ee0418666d6ef08432d23bd56e7bafad80d70132</id><title xml:lang="en">5.98% bench_radon.FourierRadon3D.time_forward('numpy')</title><updated>2026-09-10T21:00:04Z</updated><link href="index.html#bench_radon.FourierRadon3D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.FourierRadon3D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.98% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 204ms, old value: 192ms.&lt;br&gt;
                Latest value: 204ms (5.98% worse
                than best value 192ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/489f4dc1f1a2d52ad25381c4d87d660739a3c95f60e3ef6acbf4fbe18102a66b</id><title xml:lang="en">6.91% bench_radon.FourierRadon3D.time_adjoint('numpy')</title><updated>2026-09-10T20:59:58Z</updated><link href="index.html#bench_radon.FourierRadon3D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.FourierRadon3D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;6.91% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 204ms, old value: 190ms.&lt;br&gt;
                Latest value: 204ms (6.91% worse
                than best value 190ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/8c20ce681cd400443eef081cf9ba892e2ee87b3baa55c5acc930ac19256aa90d</id><title xml:lang="en">11.97% bench_kirchhoff.KirchhoffEikonal.time_forward</title><updated>2026-09-10T20:59:34Z</updated><link href="index.html#bench_kirchhoff.KirchhoffEikonal.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_kirchhoff.KirchhoffEikonal.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;11.97% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 184ms, old value: 165ms.&lt;br&gt;
                Latest value: 184ms (11.97% worse
                than best value 165ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/1a0598742d018d3d55c784aef6f6fcdcc5eb06195d276ba7809b63586b3676fc</id><title xml:lang="en">5.50% bench_kirchhoff.KirchhoffEikonal.time_adjoint</title><updated>2026-09-10T20:59:31Z</updated><link href="index.html#bench_kirchhoff.KirchhoffEikonal.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_kirchhoff.KirchhoffEikonal.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.50% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 149ms, old value: 142ms.&lt;br&gt;
                Latest value: 149ms (5.50% worse
                than best value 142ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/9bbf2cd60811acd7aebff21ca3bec5c9ce987dce5d31e645bed70fb52b8095b0</id><title xml:lang="en">10.06% bench_kirchhoff.Kirchhoff.time_forward('numpy')</title><updated>2026-09-10T20:59:25Z</updated><link href="index.html#bench_kirchhoff.Kirchhoff.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_kirchhoff.Kirchhoff.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;10.06% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 180ms, old value: 164ms.&lt;br&gt;
                Latest value: 180ms (10.06% worse
                than best value 164ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/eb9c6be6bbd0a0d08c777ba025d941a866358f6fea155b16be5d058cd1ef5007</id><title xml:lang="en">5.07% bench_kirchhoff.Kirchhoff.time_adjoint('numpy')</title><updated>2026-09-10T20:59:19Z</updated><link href="index.html#bench_kirchhoff.Kirchhoff.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_kirchhoff.Kirchhoff.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.07% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 148ms, old value: 141ms.&lt;br&gt;
                Latest value: 148ms (5.07% worse
                than best value 141ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/7121330c1f37dfbcedb94e1c3587a9d72b05086b4dd8bb39240e15db542ac76e</id><title xml:lang="en">8.66% bench_convolve.NonStationaryFilters2D.time_forward</title><updated>2026-09-10T20:58:39Z</updated><link href="index.html#bench_convolve.NonStationaryFilters2D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryFilters2D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;8.66% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 170ms, old value: 157ms.&lt;br&gt;
                Latest value: 170ms (8.66% worse
                than best value 157ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/ed335209c34f947b5b3b12534417b50117592cf604a7a937cdc7537df4845637</id><title xml:lang="en">5.65% bench_convolve.NonStationaryFilters2D.time_adjoint</title><updated>2026-09-10T20:58:37Z</updated><link href="index.html#bench_convolve.NonStationaryFilters2D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryFilters2D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.65% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 185ms, old value: 175ms.&lt;br&gt;
                Latest value: 185ms (5.65% worse
                than best value 175ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/afd6f086110be96057a7865756b7d3e29b7c3477226c2af9cf78b9e3b06a4a5a</id><title xml:lang="en">6.90% bench_convolve.NonStationaryFilters1D.time_forward</title><updated>2026-09-10T20:58:35Z</updated><link href="index.html#bench_convolve.NonStationaryFilters1D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryFilters1D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;6.90% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 11.0ms, old value: 10.3ms.&lt;br&gt;
                Latest value: 11.0ms (6.90% worse
                than best value 10.3ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/2d8dd283e433061bbca07686febe5387d0932884328c6ee0eaebcb0b257257ae</id><title xml:lang="en">10.75% bench_convolve.NonStationaryConvolve3D.time_forward('numpy')</title><updated>2026-09-10T20:58:04Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve3D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve3D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;10.75% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 248ms, old value: 224ms.&lt;br&gt;
                Latest value: 248ms (10.75% worse
                than best value 224ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/e00b895f3e9edb4cf0ce0df75eb8c802b58442e08192aecc01b16217b8307e1d</id><title xml:lang="en">9.83% bench_convolve.NonStationaryConvolve3D.time_forward('numba')</title><updated>2026-09-10T20:58:04Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve3D.time_forward?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve3D.time_forward?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;9.83% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 4.45ms, old value: 4.05ms.&lt;br&gt;
                Latest value: 4.45ms (9.83% worse
                than best value 4.05ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/19737331b9fff59041b7a6b6f800ad45b825f1a5b751b5eab0ef7a1cb35c7b2c</id><title xml:lang="en">9.24% bench_convolve.NonStationaryConvolve3D.time_adjoint('numpy')</title><updated>2026-09-10T20:57:32Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve3D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve3D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;9.24% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 248ms, old value: 227ms.&lt;br&gt;
                Latest value: 248ms (9.24% worse
                than best value 227ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/46b0f3e2a6c4d1c3678a95a1e0c0727e8484c530941ee4eedbfd2013ab5b91ac</id><title xml:lang="en">11.92% bench_convolve.NonStationaryConvolve2D.time_forward('numpy')</title><updated>2026-09-10T20:57:03Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve2D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve2D.time_forward?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;11.92% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 170ms, old value: 152ms.&lt;br&gt;
                Latest value: 170ms (11.92% worse
                than best value 152ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/3455d0d057f366dab933ed760e7e9baaa0c8ec21309026a5e4ada0ac98e764a6</id><title xml:lang="en">10.68% bench_convolve.NonStationaryConvolve2D.time_adjoint('numpy')</title><updated>2026-09-10T20:56:50Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve2D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve2D.time_adjoint?branch=dev&amp;p-engine=%27numpy%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;10.68% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 177ms, old value: 160ms.&lt;br&gt;
                Latest value: 177ms (10.68% worse
                than best value 160ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/27aac4a04b6a293023173de1072dc2094b74a23fc47b8b58ed529c005b0a2b04</id><title xml:lang="en">9.34% bench_convolve.NonStationaryConvolve2D.time_adjoint('numba')</title><updated>2026-09-10T20:56:50Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve2D.time_adjoint?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve2D.time_adjoint?branch=dev&amp;p-engine=%27numba%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;9.34% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 1.59ms, old value: 1.45ms.&lt;br&gt;
                Latest value: 1.59ms (9.34% worse
                than best value 1.45ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/2ed4db0ea3578737ac751d677b508028d879e0e5a9092b8d785f272745022b2a</id><title xml:lang="en">7.46% bench_convolve.NonStationaryConvolve1D.time_forward</title><updated>2026-09-10T20:56:42Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve1D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve1D.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;7.46% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 53.8ms, old value: 50.1ms.&lt;br&gt;
                Latest value: 53.8ms (7.46% worse
                than best value 50.1ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/22de51db15cbfd6f587af82d3f7e386f4ed668f3ab80e5dc5b09728662669a39</id><title xml:lang="en">11.13% bench_convolve.NonStationaryConvolve1D.time_adjoint</title><updated>2026-09-10T20:56:41Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve1D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve1D.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;11.13% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 54.2ms, old value: 48.8ms.&lt;br&gt;
                Latest value: 54.2ms (11.13% worse
                than best value 48.8ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/9f459520c02e8a6dc73655d29655ad279c9978c8bcbccfa3c6b4d88437abe6b7</id><title xml:lang="en">10.95% bench_combine.VStack.time_forward</title><updated>2026-09-10T20:56:26Z</updated><link href="index.html#bench_combine.VStack.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_combine.VStack.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;10.95% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 489μs, old value: 441μs.&lt;br&gt;
                Latest value: 489μs (10.95% worse
                than best value 441μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/0d973419e993a496f3bd02c9bb1e7e32beb9669428796bf9d7a69e2a7d3f1d2d</id><title xml:lang="en">19.68% bench_combine.VStack.time_adjoint</title><updated>2026-09-10T20:56:25Z</updated><link href="index.html#bench_combine.VStack.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_combine.VStack.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;19.68% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 827μs, old value: 691μs.&lt;br&gt;
                Latest value: 827μs (19.68% worse
                than best value 691μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/f65fc13378a0d7e4d632999947aa91fd93f39734e36b09938ca8098aefb625d9</id><title xml:lang="en">14.32% bench_combine.Kronecker.time_forward</title><updated>2026-09-10T20:56:25Z</updated><link href="index.html#bench_combine.Kronecker.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_combine.Kronecker.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;14.32% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 8.98ms, old value: 7.86ms.&lt;br&gt;
                Latest value: 8.98ms (14.32% worse
                than best value 7.86ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/b3600caf923c69ba1819c7fad6feb9b7ff0d02c496ce9892dad00e2663fad748</id><title xml:lang="en">13.88% bench_combine.Kronecker.time_adjoint</title><updated>2026-09-10T20:56:24Z</updated><link href="index.html#bench_combine.Kronecker.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_combine.Kronecker.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;13.88% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 9.53ms, old value: 8.37ms.&lt;br&gt;
                Latest value: 9.53ms (13.88% worse
                than best value 8.37ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/5cd176f40a52ce0239f9fc1f2c9b926188156ddcdb2149d8f679221055547f8b</id><title xml:lang="en">12.19% bench_combine.HStack.time_adjoint</title><updated>2026-09-10T20:56:23Z</updated><link href="index.html#bench_combine.HStack.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_combine.HStack.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;12.19% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 767μs, old value: 684μs.&lt;br&gt;
                Latest value: 767μs (12.19% worse
                than best value 684μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/20cf186321eeb9d44226ef9ca73cba845370eaaf996d080a1fa7b5c3ee0c579a</id><title xml:lang="en">57.63% bench_basicoperators.Zero.time_forward</title><updated>2026-09-10T20:56:20Z</updated><link href="index.html#bench_basicoperators.Zero.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Zero.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;57.63% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 153μs, old value: 97.3μs.&lt;br&gt;
                Latest value: 153μs (57.63% worse
                than best value 97.3μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/4ecb1694c465ce4e589df15fc56b6d4c86ec2faa625190d6f24887296ac3b29f</id><title xml:lang="en">66.90% bench_basicoperators.Zero.time_adjoint</title><updated>2026-09-10T20:56:20Z</updated><link href="index.html#bench_basicoperators.Zero.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Zero.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;66.90% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 158μs, old value: 95.0μs.&lt;br&gt;
                Latest value: 158μs (66.90% worse
                than best value 95.0μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/bb41cba7e226686057b73106277f9a32dfc8523d567c59c5459a2e672036adac</id><title xml:lang="en">51.64% bench_basicoperators.Sum.time_adjoint</title><updated>2026-09-10T20:56:18Z</updated><link href="index.html#bench_basicoperators.Sum.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Sum.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;51.64% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 287μs, old value: 189μs.&lt;br&gt;
                Latest value: 287μs (51.64% worse
                than best value 189μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/d2c97630f77ec3c736b5de9f093c020d5934ce1fbe13aa892f9200607f32283c</id><title xml:lang="en">5.19% bench_basicoperators.Restriction.peakmem_adjoint</title><updated>2026-09-10T20:56:17Z</updated><link href="index.html#bench_basicoperators.Restriction.peakmem_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Restriction.peakmem_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;5.19% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 162M, old value: 154M.&lt;br&gt;
                Latest value: 162M (5.19% worse
                than best value 154M).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/0305c88dad4ae60a25ce589e3fb67654f6422930f19eea13d5895057dd3d0ca1</id><title xml:lang="en">112.85% bench_basicoperators.MatrixMultOtherdims.time_forward</title><updated>2026-09-10T20:56:11Z</updated><link href="index.html#bench_basicoperators.MatrixMultOtherdims.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.MatrixMultOtherdims.time_forward?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;112.85% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 1.79ms, old value: 840μs.&lt;br&gt;
                Latest value: 1.79ms (112.85% worse
                than best value 840μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/54364a205a1c34bccdfd09638d65c2fa5a012424769c6d4cce62c33a58e7ef01</id><title xml:lang="en">19.83% bench_basicoperators.MatrixMultOtherdims.time_adjoint</title><updated>2026-09-10T20:56:10Z</updated><link href="index.html#bench_basicoperators.MatrixMultOtherdims.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.MatrixMultOtherdims.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;19.83% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 1.16ms, old value: 966μs.&lt;br&gt;
                Latest value: 1.16ms (19.83% worse
                than best value 966μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/885f53e243116a40b5cb0ad83493ae063f92a9b51662049537c6a9d0650145b6</id><title xml:lang="en">8.09% bench_basicoperators.LinearRegression.time_adjoint</title><updated>2026-09-10T20:56:04Z</updated><link href="index.html#bench_basicoperators.LinearRegression.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.LinearRegression.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;8.09% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 1.74ms, old value: 1.61ms.&lt;br&gt;
                Latest value: 1.74ms (8.09% worse
                than best value 1.61ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/6e21f4b807b46bae1be12c4e400a4fe1da30cc687ae70a944b8da4bd0525d880</id><title xml:lang="en">20.06% bench_basicoperators.FunctionOperator.time_forward('float64')</title><updated>2026-09-10T20:56:00Z</updated><link href="index.html#bench_basicoperators.FunctionOperator.time_forward?branch=dev&amp;p-dtype=%27float64%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.FunctionOperator.time_forward?branch=dev&amp;p-dtype=%27float64%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;20.06% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 231μs, old value: 192μs.&lt;br&gt;
                Latest value: 231μs (20.06% worse
                than best value 192μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/2a280addeae475169726ddd04b1d4e160227dfac8cdaf915066d71d76c927fa0</id><title xml:lang="en">73.24% bench_basicoperators.FunctionOperator.time_adjoint('float64')</title><updated>2026-09-10T20:55:59Z</updated><link href="index.html#bench_basicoperators.FunctionOperator.time_adjoint?branch=dev&amp;p-dtype=%27float64%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.FunctionOperator.time_adjoint?branch=dev&amp;p-dtype=%27float64%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;73.24% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 398μs, old value: 230μs.&lt;br&gt;
                Latest value: 398μs (73.24% worse
                than best value 230μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/2def95aff0097ed0f3407ba3c170b059e607b0ed017c3aa1f0532f7f8ee1ba4b</id><title xml:lang="en">7.95% bench_basicoperators.Conj.time_adjoint</title><updated>2026-09-10T20:55:56Z</updated><link href="index.html#bench_basicoperators.Conj.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Conj.time_adjoint?branch=dev&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;7.95% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 682μs, old value: 632μs.&lt;br&gt;
                Latest value: 682μs (7.95% worse
                than best value 632μs).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/6d41f5ee9122aa49da4cf5cdae33f5eb77ad54202f5399f32b18c13f059045c9</id><title xml:lang="en">16.30% bench_avo.PrestackLinearModelling.time_forward(True)</title><updated>2026-09-10T20:55:53Z</updated><link href="index.html#bench_avo.PrestackLinearModelling.time_forward?branch=dev&amp;p-explicit=True&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.PrestackLinearModelling.time_forward?branch=dev&amp;p-explicit=True&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;16.30% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 29.4ms, old value: 25.2ms.&lt;br&gt;
                Latest value: 29.4ms (16.30% worse
                than best value 25.2ms).</content></entry><entry><id>tag:pylops.asv,2026-09-10:/68f2d84fd56a44e94ded9c7e0b4e9d72bc2141573e8bf71e539d1d9878660a62</id><title xml:lang="en">6.67% bench_avo.AVOLinearModelling.time_adjoint('akirich')</title><updated>2026-09-10T20:55:43Z</updated><link href="index.html#bench_avo.AVOLinearModelling.time_adjoint?branch=dev&amp;p-linearization=%27akirich%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.AVOLinearModelling.time_adjoint?branch=dev&amp;p-linearization=%27akirich%27&amp;commits=be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;6.67% regression&lt;/a&gt; on 2026-09-10 20:53:42 in commit &lt;a href="https://github.com/PyLops/pylops/commit/be20b707c2dc8d81b4abef5c15ee5dd639d1610e"&gt;be20b707&lt;/a&gt;.&lt;br&gt;
                New value: 11.0ms, old value: 10.3ms.&lt;br&gt;
                Latest value: 11.0ms (6.67% worse
                than best value 10.3ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/f259321ee7bfbe929a44ba3dc54f9dcc11a3931fc36660947bdbe689f25ef6b4</id><title xml:lang="en">24.01% bench_fredholm.Fredholm1.time_forward(True)</title><updated>2026-09-10T20:54:04Z</updated><link href="index.html#bench_fredholm.Fredholm1.time_forward?branch=master&amp;p-usematmul=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_fredholm.Fredholm1.time_forward?branch=master&amp;p-usematmul=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;24.01% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 6.81ms, old value: 5.49ms.&lt;br&gt;
                Latest value: 6.99ms (27.16% worse
                than best value 5.49ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/d9208cccdc3382c991f6fb381164058407bf74125e8d7469d694be599d42d72e</id><title xml:lang="en">8.61% bench_basicoperators.Spread.time_forward('numba')</title><updated>2026-09-10T20:53:58Z</updated><link href="index.html#bench_basicoperators.Spread.time_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Spread.time_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;8.61% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 3.62ms, old value: 3.34ms.&lt;br&gt;
                Latest value: 4.28ms (28.24% worse
                than best value 3.34ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/3ab50f2a0098e3af33f5ccad03d9bbbb7329efa8337844bb83fd8037aa02d513</id><title xml:lang="en">46.02% bench_basicoperators.Spread.time_adjoint('numba')</title><updated>2026-09-10T20:53:53Z</updated><link href="index.html#bench_basicoperators.Spread.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Spread.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;46.02% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 8.56ms, old value: 5.86ms.&lt;br&gt;
                Latest value: 8.65ms (47.51% worse
                than best value 5.86ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/64e0ce04a879cebfa622c290488e098984f14d15379b73cca5388970dd00af3e</id><title xml:lang="en">315.26% bench_wavelets.DWTND.time_forward</title><updated>2026-09-10T20:53:42Z</updated><link href="index.html#bench_wavelets.DWTND.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWTND.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;315.26% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 296ms, old value: 71.3ms.&lt;br&gt;
                Latest value: 296ms (315.26% worse
                than best value 71.3ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/a89775eed022068d0ffebcb4e71c347bd1f3bee61bb5c4a5c012ee508f6cf18c</id><title xml:lang="en">176.75% bench_wavelets.DWTND.time_adjoint</title><updated>2026-09-10T20:53:38Z</updated><link href="index.html#bench_wavelets.DWTND.time_adjoint?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWTND.time_adjoint?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;176.75% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 152ms, old value: 54.8ms.&lt;br&gt;
                Latest value: 152ms (176.75% worse
                than best value 54.8ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/94a0e955a0a65514a047437fb16c6341133f0c4cb49d60e338d84714112dbb95</id><title xml:lang="en">35.29% bench_wavelets.DWT2D.time_forward</title><updated>2026-09-10T20:53:35Z</updated><link href="index.html#bench_wavelets.DWT2D.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWT2D.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;35.29% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 35.6ms, old value: 26.3ms.&lt;br&gt;
                Latest value: 35.7ms (35.61% worse
                than best value 26.3ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/acf45b20754c824e6633be1213c6d6e55ac9d64e550b769a57b1e05c058689a6</id><title xml:lang="en">21.15% bench_wavelets.DWT2D.time_adjoint</title><updated>2026-09-10T20:53:34Z</updated><link href="index.html#bench_wavelets.DWT2D.time_adjoint?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWT2D.time_adjoint?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;21.15% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 23.4ms, old value: 19.4ms.&lt;br&gt;
                Latest value: 23.4ms (21.15% worse
                than best value 19.4ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/9e5ef6d065045db66b25f9f1f89cbb5f49d729dc221f8141b5db0317bd386574</id><title xml:lang="en">37.36% bench_wavelets.DWT.time_adjoint('haar')</title><updated>2026-09-10T20:53:29Z</updated><link href="index.html#bench_wavelets.DWT.time_adjoint?branch=master&amp;p-wavelet=%27haar%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWT.time_adjoint?branch=master&amp;p-wavelet=%27haar%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;37.36% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 31.4ms, old value: 22.9ms.&lt;br&gt;
                Latest value: 32.3ms (41.15% worse
                than best value 22.9ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/1d7446df104bd845e5f224871cd0f44edc1daf072683b46ea9f0027105fcd62a</id><title xml:lang="en">19.87% bench_wavelets.DWT.time_adjoint('db4')</title><updated>2026-09-10T20:53:29Z</updated><link href="index.html#bench_wavelets.DWT.time_adjoint?branch=master&amp;p-wavelet=%27db4%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWT.time_adjoint?branch=master&amp;p-wavelet=%27db4%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;19.87% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 33.4ms, old value: 27.8ms.&lt;br&gt;
                Latest value: 36.0ms (29.35% worse
                than best value 27.8ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/f67a398ab312de2647fb3f9cf79a4dda8340dcf92c5019d106538a57ac4a71a3</id><title xml:lang="en">16.59% bench_radon.Radon3D.time_adjoint('numba')</title><updated>2026-09-10T20:52:16Z</updated><link href="index.html#bench_radon.Radon3D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon3D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;16.59% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 38.8ms, old value: 33.3ms.&lt;br&gt;
                Latest value: 38.9ms (16.84% worse
                than best value 33.3ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/5754cc006df24f47cb454abc821b816eaa86a8eaed7258266eb6706d5369508e</id><title xml:lang="en">29.58% bench_radon.Radon2D.time_adjoint('numba')</title><updated>2026-09-10T20:51:49Z</updated><link href="index.html#bench_radon.Radon2D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.Radon2D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;29.58% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 9.22ms, old value: 7.12ms.&lt;br&gt;
                Latest value: 9.22ms (29.58% worse
                than best value 7.12ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/5f91e81ab4034a1bc5c167c537b8bb0508ae38974df94cfe6e66f02dc42c6c43</id><title xml:lang="en">16.41% bench_radon.FourierRadon3D.time_adjoint('numba')</title><updated>2026-09-10T20:51:30Z</updated><link href="index.html#bench_radon.FourierRadon3D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.FourierRadon3D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;16.41% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 118ms, old value: 101ms.&lt;br&gt;
                Latest value: 120ms (18.67% worse
                than best value 101ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/f49273bb169090e06368781893ebcdc44db06b41163bad4e2e5daa12fddeb670</id><title xml:lang="en">13.08% bench_radon.FourierRadon2D.time_adjoint('numba')</title><updated>2026-09-10T20:51:24Z</updated><link href="index.html#bench_radon.FourierRadon2D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.FourierRadon2D.time_adjoint?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;13.08% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 27.3ms, old value: 24.2ms.&lt;br&gt;
                Latest value: 27.3ms (13.08% worse
                than best value 24.2ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/06ea1afb79cb4fe52152bd8f2c10b1a32257e953acd0de507423efccd9933093</id><title xml:lang="en">13.88% bench_kirchhoff.Kirchhoff.time_forward('numpy')</title><updated>2026-09-10T20:50:58Z</updated><link href="index.html#bench_kirchhoff.Kirchhoff.time_forward?branch=master&amp;p-engine=%27numpy%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_kirchhoff.Kirchhoff.time_forward?branch=master&amp;p-engine=%27numpy%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;13.88% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 181ms, old value: 159ms.&lt;br&gt;
                Latest value: 181ms (13.88% worse
                than best value 159ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/16df9c69c74558336cfccd0e076dd5dd93fedfa532bd3f80ff2f77c3a58520d9</id><title xml:lang="en">8.94% bench_kirchhoff.Kirchhoff.time_forward('numba')</title><updated>2026-09-10T20:50:58Z</updated><link href="index.html#bench_kirchhoff.Kirchhoff.time_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_kirchhoff.Kirchhoff.time_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;8.94% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 1.59ms, old value: 1.46ms.&lt;br&gt;
                Latest value: 1.59ms (9.10% worse
                than best value 1.46ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/9871f3f9cdcf96eefae88fe69a88425f7dcc0e217310a5b77068580b6045425f</id><title xml:lang="en">9.31% bench_interpolation.Interp.time_forward('sinc')</title><updated>2026-09-10T20:50:49Z</updated><link href="index.html#bench_interpolation.Interp.time_forward?branch=master&amp;p-kind=%27sinc%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_interpolation.Interp.time_forward?branch=master&amp;p-kind=%27sinc%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;9.31% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 577μs, old value: 528μs.&lt;br&gt;
                Latest value: 608μs (15.15% worse
                than best value 528μs).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/f512e4454a45cae3992a695a6c549069535256ef3500f96a2dfd46466c6064b3</id><title xml:lang="en">23.62% bench_interpolation.Interp.time_adjoint('sinc')</title><updated>2026-09-10T20:50:48Z</updated><link href="index.html#bench_interpolation.Interp.time_adjoint?branch=master&amp;p-kind=%27sinc%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_interpolation.Interp.time_adjoint?branch=master&amp;p-kind=%27sinc%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;23.62% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 570μs, old value: 461μs.&lt;br&gt;
                Latest value: 592μs (28.22% worse
                than best value 461μs).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/7e9e23fcb1d11750b7c4e9d80cbd3e805f22053b55d92e933f9d4c61550a2c1b</id><title xml:lang="en">3.80% bench_convolve.NonStationaryFilters2D.time_forward</title><updated>2026-09-10T20:50:15Z</updated><link href="index.html#bench_convolve.NonStationaryFilters2D.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryFilters2D.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;3.80% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 156ms, old value: 151ms.&lt;br&gt;
                Latest value: 171ms (13.18% worse
                than best value 151ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/55b79015d6e325c21226ad0025b5131e434a2d0351b349d2c030e868477c5bdb</id><title xml:lang="en">7.54% bench_convolve.NonStationaryConvolve2D.time_forward('numpy')</title><updated>2026-09-10T20:48:39Z</updated><link href="index.html#bench_convolve.NonStationaryConvolve2D.time_forward?branch=master&amp;p-engine=%27numpy%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.NonStationaryConvolve2D.time_forward?branch=master&amp;p-engine=%27numpy%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;7.54% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 162ms, old value: 151ms.&lt;br&gt;
                Latest value: 169ms (12.10% worse
                than best value 151ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/61230a5700a4c21cc020b728bf4c0f80035b264aea9ff31eb4b7e246f37ad97d</id><title xml:lang="en">43.32% bench_convolve.Convolve2D.time_forward('direct')</title><updated>2026-09-10T20:48:11Z</updated><link href="index.html#bench_convolve.Convolve2D.time_forward?branch=master&amp;p-method=%27direct%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.Convolve2D.time_forward?branch=master&amp;p-method=%27direct%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;43.32% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 298ms, old value: 208ms.&lt;br&gt;
                Latest value: 298ms (43.32% worse
                than best value 208ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/ca3de3261e3c862a304c1f282ad0cab638eaa181a1007a3b39e2403206b62476</id><title xml:lang="en">30.78% bench_convolve.Convolve2D.time_adjoint('direct')</title><updated>2026-09-10T20:48:07Z</updated><link href="index.html#bench_convolve.Convolve2D.time_adjoint?branch=master&amp;p-method=%27direct%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.Convolve2D.time_adjoint?branch=master&amp;p-method=%27direct%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;30.78% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 273ms, old value: 208ms.&lt;br&gt;
                Latest value: 273ms (30.78% worse
                than best value 208ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/26c136a9c6397cfe34a683d5cc0840742d98c821b2332d1c83b3f86df4ac9bf7</id><title xml:lang="en">-6.84% bench_convolve.Convolve1D.time_forward('direct')</title><updated>2026-09-10T20:48:03Z</updated><link href="index.html#bench_convolve.Convolve1D.time_forward?branch=master&amp;p-method=%27direct%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_convolve.Convolve1D.time_forward?branch=master&amp;p-method=%27direct%27&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;-6.84% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 12.5ms, old value: 13.4ms.&lt;br&gt;
                Latest value: 14.1ms (12.87% worse
                than best value 12.5ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/ec175589faf286961cab166c8f5e31da31c0573242ce1694a31fc80f1f73cb08</id><title xml:lang="en">125.31% bench_basicoperators.Regression.time_forward</title><updated>2026-09-10T20:47:51Z</updated><link href="index.html#bench_basicoperators.Regression.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Regression.time_forward?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;125.31% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 50.0ms, old value: 22.2ms.&lt;br&gt;
                Latest value: 50.0ms (125.31% worse
                than best value 22.2ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/5f2c3950c31dd674aa6a9796129ec2cf270537626383416c49b649cd9c08c960</id><title xml:lang="en">283.68% bench_basicoperators.Regression.time_adjoint</title><updated>2026-09-10T20:47:49Z</updated><link href="index.html#bench_basicoperators.Regression.time_adjoint?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Regression.time_adjoint?branch=master&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;283.68% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 47.7ms, old value: 12.4ms.&lt;br&gt;
                Latest value: 47.7ms (283.68% worse
                than best value 12.4ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/b39afac9555f935112b9e11fd4dfc05df7108be075682323939db04b4239efaa</id><title xml:lang="en">33.49% bench_avo.PrestackLinearModelling.time_forward(True)</title><updated>2026-09-10T20:47:28Z</updated><link href="index.html#bench_avo.PrestackLinearModelling.time_forward?branch=master&amp;p-explicit=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.PrestackLinearModelling.time_forward?branch=master&amp;p-explicit=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;33.49% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 25.6ms, old value: 19.2ms.&lt;br&gt;
                Latest value: 25.6ms (33.49% worse
                than best value 19.2ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/a1f9bf9c0d8ecb0e36a4e8a883393aef217e73a81b28cb5173572bba675d9e72</id><title xml:lang="en">41.94% bench_avo.PoststackLinearModelling.time_forward(True)</title><updated>2026-09-10T20:47:22Z</updated><link href="index.html#bench_avo.PoststackLinearModelling.time_forward?branch=master&amp;p-explicit=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.PoststackLinearModelling.time_forward?branch=master&amp;p-explicit=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;41.94% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 12.1ms, old value: 8.52ms.&lt;br&gt;
                Latest value: 12.4ms (45.33% worse
                than best value 8.52ms).</content></entry><entry><id>tag:pylops.asv,2025-06-21:/29b8fee49c96077e61dcb18e21db040c5d6a76a20e57761b52f2a0e01391c2a7</id><title xml:lang="en">35.81% bench_avo.PoststackLinearModelling.time_adjoint(True)</title><updated>2026-09-10T20:47:21Z</updated><link href="index.html#bench_avo.PoststackLinearModelling.time_adjoint?branch=master&amp;p-explicit=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.PoststackLinearModelling.time_adjoint?branch=master&amp;p-explicit=True&amp;commits=260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;35.81% regression&lt;/a&gt; on 2025-06-21 20:40:40 in commit &lt;a href="https://github.com/PyLops/pylops/commit/260d61d3c649f59baac4c4cb3fa1038a219e40fc"&gt;260d61d3&lt;/a&gt;.&lt;br&gt;
                New value: 12.1ms, old value: 8.93ms.&lt;br&gt;
                Latest value: 12.4ms (38.97% worse
                than best value 8.93ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/5bced0de37603016df9a74b2321c3a8d5963e248a4a4e440d8e8057b4869199e</id><title xml:lang="en">28.26% bench_medical.MRI2D.time_forward('scipy')</title><updated>2026-09-10T20:46:36Z</updated><link href="index.html#bench_medical.MRI2D.time_forward?branch=master&amp;p-fft_engine=%27scipy%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_medical.MRI2D.time_forward?branch=master&amp;p-fft_engine=%27scipy%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;28.26% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 4.04ms, old value: 3.15ms.&lt;br&gt;
                Latest value: 4.04ms (28.26% worse
                than best value 3.15ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/45abefd99877a72ec9a8d500cdfec84c0bc79e936598147c20fe3eee3d60a1a1</id><title xml:lang="en">5.69% bench_medical.MRI2D.time_adjoint('numpy')</title><updated>2026-09-10T20:46:36Z</updated><link href="index.html#bench_medical.MRI2D.time_adjoint?branch=master&amp;p-fft_engine=%27numpy%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_medical.MRI2D.time_adjoint?branch=master&amp;p-fft_engine=%27numpy%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;5.69% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 7.45ms, old value: 7.05ms.&lt;br&gt;
                Latest value: 7.45ms (5.69% worse
                than best value 7.05ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/38d6feadfe44a1f7b4e9ee3b72c20cfd9635dd90c1c1a23f6cb66fd2b014b324</id><title xml:lang="en">20.07% bench_medical.MRI2D.time_adjoint('scipy')</title><updated>2026-09-10T20:46:36Z</updated><link href="index.html#bench_medical.MRI2D.time_adjoint?branch=master&amp;p-fft_engine=%27scipy%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_medical.MRI2D.time_adjoint?branch=master&amp;p-fft_engine=%27scipy%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;20.07% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 7.06ms, old value: 5.88ms.&lt;br&gt;
                Latest value: 7.06ms (20.07% worse
                than best value 5.88ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/249042aa37f481b9a678964a1b72e30e90e82e45de2d016ec784a876f4744a42</id><title xml:lang="en">40.60% bench_avo.PrestackWaveletModelling.time_adjoint</title><updated>2026-09-10T20:46:16Z</updated><link href="index.html#bench_avo.PrestackWaveletModelling.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_avo.PrestackWaveletModelling.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;40.60% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 371μs, old value: 264μs.&lt;br&gt;
                Latest value: 371μs (40.60% worse
                than best value 264μs).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/fe023a47ba2be393df08031a160f55d1e2d557228a15e51868eaafd176850191</id><title xml:lang="en">9.46% bench_wavelets.PWSprayer2D.time_adjoint</title><updated>2026-09-10T20:46:11Z</updated><link href="index.html#bench_wavelets.PWSprayer2D.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.PWSprayer2D.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;9.46% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 11.6ms, old value: 10.6ms.&lt;br&gt;
                Latest value: 11.6ms (14.22% worse
                than best value 10.2ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/dc7c184931fbffdbf4ab35e3341d864d4826f706f7b6a691c8c07ffe3917537a</id><title xml:lang="en">12.38% bench_wavelets.PWSprayer2D.peakmem_forward</title><updated>2026-09-10T20:46:09Z</updated><link href="index.html#bench_wavelets.PWSprayer2D.peakmem_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.PWSprayer2D.peakmem_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;12.38% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 225M, old value: 200M.&lt;br&gt;
                Latest value: 225M (12.41% worse
                than best value 200M).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/52f978a7172eb926c5e4747b053507b2706b11b4f07d32ec2de9b6f1284b5002</id><title xml:lang="en">12.38% bench_wavelets.PWSprayer2D.peakmem_adjoint</title><updated>2026-09-10T20:46:08Z</updated><link href="index.html#bench_wavelets.PWSprayer2D.peakmem_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.PWSprayer2D.peakmem_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;12.38% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 225M, old value: 200M.&lt;br&gt;
                Latest value: 225M (12.41% worse
                than best value 200M).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/107e515ee2228a7351c296af5c6568221d98d163659ca5f5a309d5b870ce63b5</id><title xml:lang="en">12.04% bench_wavelets.PWSmoother2D.peakmem_forward</title><updated>2026-09-10T20:46:01Z</updated><link href="index.html#bench_wavelets.PWSmoother2D.peakmem_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.PWSmoother2D.peakmem_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;12.04% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 228M, old value: 204M.&lt;br&gt;
                Latest value: 228M (12.05% worse
                than best value 204M).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/debf7c7875663faac3185c981880aef32c1982fefa852c5046074cb89f058f2c</id><title xml:lang="en">12.34% bench_waveeqprocessing.UpDownComposition3D.time_adjoint</title><updated>2026-09-10T20:45:37Z</updated><link href="index.html#bench_waveeqprocessing.UpDownComposition3D.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_waveeqprocessing.UpDownComposition3D.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;12.34% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 44.4ms, old value: 39.5ms.&lt;br&gt;
                Latest value: 44.4ms (15.22% worse
                than best value 38.5ms).</content></entry><entry><id>tag:pylops.asv,2026-05-17:/e990acd9362b95aeaac0eff653fda3568b0ff7157311cbc0d204e61ddfce3b24</id><title xml:lang="en">5.76% bench_wavelets.DWT.time_adjoint('db4')</title><updated>2026-09-10T20:45:26Z</updated><link href="index.html#bench_wavelets.DWT.time_adjoint?branch=master&amp;p-wavelet=%27db4%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_wavelets.DWT.time_adjoint?branch=master&amp;p-wavelet=%27db4%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;5.76% regression&lt;/a&gt; on 2026-05-17 18:46:46 in commit &lt;a href="https://github.com/PyLops/pylops/commit/5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;5156bbe3&lt;/a&gt;.&lt;br&gt;
                New value: 35.9ms, old value: 34.0ms.&lt;br&gt;
                Latest value: 36.0ms (29.35% worse
                than best value 27.8ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/a2291b8973ef895c58d1fc900ef1f768a90856109dd3b65528c7f1b75114e6eb</id><title xml:lang="en">15.61% bench_sliding.Sliding2D.time_adjoint</title><updated>2026-09-10T20:44:57Z</updated><link href="index.html#bench_sliding.Sliding2D.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_sliding.Sliding2D.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;15.61% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 1.04ms, old value: 897μs.&lt;br&gt;
                Latest value: 1.04ms (15.61% worse
                than best value 897μs).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/5ea0b256f3bae531eb868d7dfca2d7f90976266bdbbe89c24c91267d6bea8967</id><title xml:lang="en">9.45% bench_radon.FourierRadon3D.peakmem_forward('numba')</title><updated>2026-09-10T20:43:40Z</updated><link href="index.html#bench_radon.FourierRadon3D.peakmem_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.FourierRadon3D.peakmem_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;9.45% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 209M, old value: 191M.&lt;br&gt;
                Latest value: 209M (9.45% worse
                than best value 191M).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/afa691d95ea2814723e9d1b7becf156d1911abe2ed6faf843454124a25f0a74f</id><title xml:lang="en">8.53% bench_radon.FourierRadon2D.peakmem_forward('numba')</title><updated>2026-09-10T20:43:33Z</updated><link href="index.html#bench_radon.FourierRadon2D.peakmem_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_radon.FourierRadon2D.peakmem_forward?branch=master&amp;p-engine=%27numba%27&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;8.53% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 205M, old value: 189M.&lt;br&gt;
                Latest value: 205M (8.86% worse
                than best value 189M).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/2aef0912b5aecf68f326861d198fc05b01903b0ab7d216c7fe09e0cdc07bde05</id><title xml:lang="en">15.73% bench_interpolation.Bilinear.time_adjoint</title><updated>2026-09-10T20:42:51Z</updated><link href="index.html#bench_interpolation.Bilinear.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_interpolation.Bilinear.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;15.73% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 60.3ms, old value: 52.1ms.&lt;br&gt;
                Latest value: 60.3ms (18.61% worse
                than best value 50.9ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/bfb879afd09c9c41426b072bb85ad471f7b4e6a87a38a17666f8aa7c3ee11f04</id><title xml:lang="en">6.77% bench_ffts.Shift.time_forward</title><updated>2026-09-10T20:42:50Z</updated><link href="index.html#bench_ffts.Shift.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_ffts.Shift.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;6.77% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 13.4ms, old value: 12.5ms.&lt;br&gt;
                Latest value: 13.4ms (8.51% worse
                than best value 12.3ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/97d8a5408210d2e6b9a53ac33571c5d3aa25678e02a869324451a92c02e94f9e</id><title xml:lang="en">12.72% bench_derivative.SecondDirectionalDerivative.time_forward</title><updated>2026-09-10T20:42:35Z</updated><link href="index.html#bench_derivative.SecondDirectionalDerivative.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_derivative.SecondDirectionalDerivative.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;12.72% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 32.7ms, old value: 29.0ms.&lt;br&gt;
                Latest value: 32.7ms (18.67% worse
                than best value 27.5ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/31c9464c641ac9fbc65730db3f1a172da26bfe00628d3a725e95e7aa9c01202c</id><title xml:lang="en">9.66% bench_derivative.FirstDirectionalDerivative.time_forward</title><updated>2026-09-10T20:42:30Z</updated><link href="index.html#bench_derivative.FirstDirectionalDerivative.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_derivative.FirstDirectionalDerivative.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;9.66% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 11.9ms, old value: 10.8ms.&lt;br&gt;
                Latest value: 11.9ms (12.51% worse
                than best value 10.5ms).</content></entry><entry><id>tag:pylops.asv,2026-05-17:/d7271483554be9e69b06367d25c0c25be8047f3ab1873533f16201f2d7298803</id><title xml:lang="en">4.62% bench_derivative.FirstDerivative.time_forward('forward')</title><updated>2026-09-10T20:42:14Z</updated><link href="index.html#bench_derivative.FirstDerivative.time_forward?branch=master&amp;p-kind=%27forward%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_derivative.FirstDerivative.time_forward?branch=master&amp;p-kind=%27forward%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;4.62% regression&lt;/a&gt; on 2026-05-17 18:46:46 in commit &lt;a href="https://github.com/PyLops/pylops/commit/5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;5156bbe3&lt;/a&gt;.&lt;br&gt;
                New value: 2.70ms, old value: 2.58ms.&lt;br&gt;
                Latest value: 2.73ms (9.89% worse
                than best value 2.48ms).</content></entry><entry><id>tag:pylops.asv,2026-05-17:/32b8ef4150b769be4d12ac044784ecc7769351b49b19314c1e4e3c499dda85cb</id><title xml:lang="en">4.02% bench_derivative.FirstDerivative.time_adjoint('backward')</title><updated>2026-09-10T20:42:13Z</updated><link href="index.html#bench_derivative.FirstDerivative.time_adjoint?branch=master&amp;p-kind=%27backward%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_derivative.FirstDerivative.time_adjoint?branch=master&amp;p-kind=%27backward%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;4.02% regression&lt;/a&gt; on 2026-05-17 18:46:46 in commit &lt;a href="https://github.com/PyLops/pylops/commit/5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;5156bbe3&lt;/a&gt;.&lt;br&gt;
                New value: 5.40ms, old value: 5.19ms.&lt;br&gt;
                Latest value: 5.50ms (13.72% worse
                than best value 4.84ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/d00dab334340886621b608e60b65cccbc48d7fadfa1c39c26407ec3a84f04463</id><title xml:lang="en">58.99% bench_basicoperators.Transpose.time_forward</title><updated>2026-09-10T20:40:01Z</updated><link href="index.html#bench_basicoperators.Transpose.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Transpose.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;58.99% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 2.14ms, old value: 1.34ms.&lt;br&gt;
                Latest value: 2.14ms (58.99% worse
                than best value 1.34ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/11f4436a06cad5309f585199b56ad95206c7ae89b764f63e2923acf195c14537</id><title xml:lang="en">8.97% bench_basicoperators.Sum.time_forward</title><updated>2026-09-10T20:40:00Z</updated><link href="index.html#bench_basicoperators.Sum.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Sum.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;8.97% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 312μs, old value: 286μs.&lt;br&gt;
                Latest value: 312μs (28.56% worse
                than best value 242μs).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/510196d37fe94809f99d5ad35877f9b83a795cc1b371382c0f2376293bf8a1f9</id><title xml:lang="en">20.18% bench_basicoperators.Pad.time_forward</title><updated>2026-09-10T20:39:54Z</updated><link href="index.html#bench_basicoperators.Pad.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Pad.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;20.18% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 442μs, old value: 367μs.&lt;br&gt;
                Latest value: 442μs (20.18% worse
                than best value 367μs).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/2f2a23f86c91f8506a35fd7f77fae1cbd5175a707652e142e14f6202aa15b058</id><title xml:lang="en">6.60% bench_basicoperators.Pad.time_adjoint</title><updated>2026-09-10T20:39:53Z</updated><link href="index.html#bench_basicoperators.Pad.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Pad.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;6.60% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 1.14ms, old value: 1.07ms.&lt;br&gt;
                Latest value: 1.14ms (14.97% worse
                than best value 996μs).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/05c6cec5d38a60026f8401ebea074733cf45a23d86365e2248ec0ef6ad1182ef</id><title xml:lang="en">30.64% bench_basicoperators.Imag.time_forward</title><updated>2026-09-10T20:39:44Z</updated><link href="index.html#bench_basicoperators.Imag.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Imag.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;30.64% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 918μs, old value: 703μs.&lt;br&gt;
                Latest value: 918μs (30.64% worse
                than best value 703μs).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/6d855ae215afc10c774d75cb532ccafa00c3ba3d03941a3a0c7d09eb9550ab59</id><title xml:lang="en">21.73% bench_basicoperators.Imag.time_adjoint</title><updated>2026-09-10T20:39:44Z</updated><link href="index.html#bench_basicoperators.Imag.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Imag.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;21.73% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 3.08ms, old value: 2.53ms.&lt;br&gt;
                Latest value: 3.08ms (21.73% worse
                than best value 2.53ms).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/1b8f23942a3359414cbb8a6f3cbcb327da04b6a566d84056f04671ac10607db7</id><title xml:lang="en">32.31% bench_basicoperators.Conj.time_forward</title><updated>2026-09-10T20:39:38Z</updated><link href="index.html#bench_basicoperators.Conj.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Conj.time_forward?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;32.31% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 948μs, old value: 716μs.&lt;br&gt;
                Latest value: 948μs (36.52% worse
                than best value 694μs).</content></entry><entry><id>tag:pylops.asv,2026-07-25:/ae5527a88c94780200f568f8716c8006517e37868f4a5947d474d6c1e077960f</id><title xml:lang="en">14.71% bench_basicoperators.Conj.time_adjoint</title><updated>2026-09-10T20:39:37Z</updated><link href="index.html#bench_basicoperators.Conj.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.Conj.time_adjoint?branch=master&amp;commits=2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;14.71% regression&lt;/a&gt; on 2026-07-25 20:08:24 in commit &lt;a href="https://github.com/PyLops/pylops/commit/2a8b48fea5fd6575b84e1daf3eb64ddbca950e92"&gt;2a8b48fe&lt;/a&gt;.&lt;br&gt;
                New value: 774μs, old value: 675μs.&lt;br&gt;
                Latest value: 774μs (14.71% worse
                than best value 675μs).</content></entry><entry><id>tag:pylops.asv,2026-05-17:/290bc8007565b05c665797d2f3e6f0519b2142373d0284a1a9a1fa5f55cd42b2</id><title xml:lang="en">3.12% bench_basicoperators.FunctionOperator.time_forward('complex128')</title><updated>2026-09-10T20:39:32Z</updated><link href="index.html#bench_basicoperators.FunctionOperator.time_forward?branch=master&amp;p-dtype=%27complex128%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_basicoperators.FunctionOperator.time_forward?branch=master&amp;p-dtype=%27complex128%27&amp;commits=5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;3.12% regression&lt;/a&gt; on 2026-05-17 18:46:46 in commit &lt;a href="https://github.com/PyLops/pylops/commit/5156bbe3c1371e44304fe3cdf00ed9e8e1483a13"&gt;5156bbe3&lt;/a&gt;.&lt;br&gt;
                New value: 696μs, old value: 675μs.&lt;br&gt;
                Latest value: 719μs (9.65% worse
                than best value 656μs).</content></entry></feed>