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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Error estimates for physics informed neural networks approximating the Navier-Stokes equations · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2203.09346/</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/2203.09346/feed.xml" rel="self" type="application/rss+xml" /><item><title>Error estimates for physics informed neural networks approximating the Navier-Stokes equations — mentioned by trueismywork</title><link>https://news.ycombinator.com/item?id=39757434</link><guid isPermaLink="false">urn:hackerpapers:mention:2203.09346:39757434</guid><pubDate>Tue, 19 Mar 2024 16:27:05 GMT</pubDate><description>&lt;p&gt;I would be interested to see how the formula looks for a more complicated equation. For example, Eq 3.12 or 3.31 in the link https://arxiv.org/pdf/2203.09346.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2203.09346/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>math.NA</category></item></channel></rss>
