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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fast and backward stable computation of roots of polynomials, Part II: backward error analysis; companion matrix and companion pencil · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1611.02435/</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/1611.02435/feed.xml" rel="self" type="application/rss+xml" /><item><title>Fast and backward stable computation of roots of polynomials, Part II: backward error analysis; companion matrix and companion pencil — mentioned by CyLith</title><link>https://news.ycombinator.com/item?id=44891018</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.02435:44891018</guid><pubDate>Wed, 13 Aug 2025 17:04:40 GMT</pubDate><description>&lt;p&gt;The library only solves up to cubic equations, and the comments have a link to the following page: https://momentsingraphics.de/CubicRoots.html For general polynomials, it matters a great deal in what basis it is represented. The typical monomial basis is usually not the best from a numerical standpoint. I am aware of some modern methods such as this: https://arxiv.org/pdf/1611.02435 For polynomials expressed in e.g. a Bernstein basis, there are often much faster and stable tailored methods working solving for the eigenvalues of a companion matrix of a different form.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.02435/"&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>
