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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2412.14362/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2412.14362/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances — mentioned by adgjlsfhk1</title><link>https://news.ycombinator.com/item?id=45267712</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.14362:45267712</guid><pubDate>Tue, 16 Sep 2025 20:39:29 GMT</pubDate><description>&lt;p&gt;there are adaptive order ODE solvers that can adapt to arbitrarily high order. For example, e.g. https://arxiv.org/abs/2412.14362 (which I&amp;#x27;m a co-author on) can get to ~200th order which should be enough to efficiently solve an ODE into 10s of thousands of digits.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.14362/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.NA</category></item><item><title>A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances — mentioned by adgjlsfhk1</title><link>https://news.ycombinator.com/item?id=44537979</link><guid isPermaLink="false">urn:hackerpapers:mention:2412.14362:44537979</guid><pubDate>Fri, 11 Jul 2025 23:49:46 GMT</pubDate><description>&lt;p&gt;You might want to try OrdinaryDiffEq.jl. As of last summer, we have really fancy radau methods that are arbitrary order, arbitrary tolerance (see https://arxiv.org/abs/2412.14362 for the paper)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2412.14362/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.NA</category></item><item><title>A Fully Adaptive Radau Method for the Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances — HN submission</title><link>https://news.ycombinator.com/item?id=42471977</link><guid isPermaLink="false">urn:hackerpapers:submission:2412.14362:42471977</guid><pubDate>Fri, 20 Dec 2024 15:34:12 GMT</pubDate><description>&lt;p&gt;Efficient Solution of Stiff Ordinary Differential Equations at Low Tolerances&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2412.14362/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>math.NA</category></item></channel></rss>
