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<feed xmlns="http://www.w3.org/2005/Atom"><id>tag:bw2calc-conda.asv,1970-01-01:/6f9b1968cc7976c2c33e0c11e05a28cd6d633cf66803445457b627da2355c03b</id><author><name>Airspeed Velocity</name></author><title xml:lang="en">bw2calc-conda performance regressions</title><updated>2026-10-27T22:25:57Z</updated><entry><id>tag:bw2calc-conda.asv,2026-10-18:/d1fee5059b1d47afd4998d47a4dc7e24cbb71d1a335ed9896b7c05ab8c38b3f0</id><title xml:lang="en">50.00% bench_lca.NewDemand.track_relative_error('ecoinvent', 'LCA')</title><updated>2026-10-27T22:25:57Z</updated><link href="index.html#bench_lca.NewDemand.track_relative_error?p-size=%27ecoinvent%27&amp;p-cls=%27LCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_lca.NewDemand.track_relative_error?p-size=%27ecoinvent%27&amp;p-cls=%27LCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07"&gt;50.00% regression&lt;/a&gt; on 2026-10-18 18:26:25 in commits &lt;a href="#fb9d6561089c1635aedc4bf1121d18c054d31eca"&gt;fb9d6561...fe780d2b&lt;/a&gt;.&lt;br&gt;
                New value: 4.239209361968392e-15, old value: 2.826139574645595e-15.&lt;br&gt;
                Latest value: 4.239209361968392e-15 (50.00% worse
                than best value 2.826139574645595e-15).</content></entry><entry><id>tag:bw2calc-conda.asv,2026-10-18:/317a0a74f8f639c4182a270dca6ffa14074263d76bdbba31d4551d0cf797965d</id><title xml:lang="en">112.99% bench_lca.MonteCarlo.time_iterations('ecoinvent', 10, 'JacobiGMRESLCA')</title><updated>2026-10-27T22:07:55Z</updated><link href="index.html#bench_lca.MonteCarlo.time_iterations?p-size=%27ecoinvent%27&amp;p-iterations=10&amp;p-cls=%27JacobiGMRESLCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_lca.MonteCarlo.time_iterations?p-size=%27ecoinvent%27&amp;p-iterations=10&amp;p-cls=%27JacobiGMRESLCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07"&gt;112.99% regression&lt;/a&gt; on 2026-10-18 18:26:25 in commits &lt;a href="#fb9d6561089c1635aedc4bf1121d18c054d31eca"&gt;fb9d6561...fe780d2b&lt;/a&gt;.&lt;br&gt;
                New value: 702ms, old value: 330ms.&lt;br&gt;
                Latest value: 702ms (112.99% worse
                than best value 330ms).</content></entry><entry><id>tag:bw2calc-conda.asv,2026-10-18:/317a0a74f8f639c4182a270dca6ffa14074263d76bdbba31d4551d0cf797965d</id><title xml:lang="en">114.63% bench_lca.MonteCarlo.time_iterations('ecoinvent', 10, 'JacobiGMRESLCA')</title><updated>2026-10-27T22:07:55Z</updated><link href="index.html#bench_lca.MonteCarlo.time_iterations?p-size=%27ecoinvent%27&amp;p-iterations=10&amp;p-cls=%27JacobiGMRESLCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_lca.MonteCarlo.time_iterations?p-size=%27ecoinvent%27&amp;p-iterations=10&amp;p-cls=%27JacobiGMRESLCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07"&gt;114.63% regression&lt;/a&gt; on 2026-10-18 18:26:25 in commits &lt;a href="#fb9d6561089c1635aedc4bf1121d18c054d31eca"&gt;fb9d6561...fe780d2b&lt;/a&gt;.&lt;br&gt;
                New value: 704ms, old value: 328ms.&lt;br&gt;
                Latest value: 704ms (114.63% worse
                than best value 328ms).</content></entry><entry><id>tag:bw2calc-conda.asv,2026-10-18:/317a0a74f8f639c4182a270dca6ffa14074263d76bdbba31d4551d0cf797965d</id><title xml:lang="en">111.55% bench_lca.MonteCarlo.time_iterations('ecoinvent', 10, 'JacobiGMRESLCA')</title><updated>2026-10-27T22:07:55Z</updated><link href="index.html#bench_lca.MonteCarlo.time_iterations?p-size=%27ecoinvent%27&amp;p-iterations=10&amp;p-cls=%27JacobiGMRESLCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07" /><content xml:lang="en" type="html">&lt;a href="index.html#bench_lca.MonteCarlo.time_iterations?p-size=%27ecoinvent%27&amp;p-iterations=10&amp;p-cls=%27JacobiGMRESLCA%27&amp;commits=fb9d6561089c1635aedc4bf1121d18c054d31eca-fe780d2b6292a3d180281bff3fe1bc973bc7ab07"&gt;111.55% regression&lt;/a&gt; on 2026-10-18 18:26:25 in commits &lt;a href="#fb9d6561089c1635aedc4bf1121d18c054d31eca"&gt;fb9d6561...fe780d2b&lt;/a&gt;.&lt;br&gt;
                New value: 701ms, old value: 332ms.&lt;br&gt;
                Latest value: 701ms (111.55% worse
                than best value 332ms).</content></entry></feed>