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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1501.05709/</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/1501.05709/feed.xml" rel="self" type="application/rss+xml" /><item><title>Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs — mentioned by teleforce</title><link>https://news.ycombinator.com/item?id=45865489</link><guid isPermaLink="false">urn:hackerpapers:mention:1501.05709:45865489</guid><pubDate>Sun, 09 Nov 2025 13:32:14 GMT</pubDate><description>&lt;p&gt;Why stop at relational, we should go all the way to include spreadsheets, matrices and graphs as in D4M [1]. D4M can caters to most modern data abstractions including spreadsheets, database tables, matrices, and graphs based on associative arrays [2]. &amp;gt;For software engineers, databases are one of the biggest power tools available to us, up there with compilers and full featured operating systems. D4M team even proposed a new and elegant associative array based operating system namely TabulaROSA that probably can settle the monolithic vs micro kernel debates by Torvalds and Tanenbaum for good…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1501.05709/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs — HN submission</title><link>https://news.ycombinator.com/item?id=42827393</link><guid isPermaLink="false">urn:hackerpapers:submission:1501.05709:42827393</guid><pubDate>Sun, 26 Jan 2025 03:17:06 GMT</pubDate><description>&lt;p&gt;Unified Mathematics for Spreadsheets, Databases, Matrices and Graphs (2015)&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/1501.05709/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item><item><title>Associative Arrays: Unified Mathematics for Spreadsheets, Databases, Matrices, and Graphs — mentioned by teleforce</title><link>https://news.ycombinator.com/item?id=42801343</link><guid isPermaLink="false">urn:hackerpapers:mention:1501.05709:42801343</guid><pubDate>Thu, 23 Jan 2025 06:45:56 GMT</pubDate><description>&lt;p&gt;Given the pervasive nature of spreadsheets in today&amp;#x27;s world, we have no choice but to embrace it but need to manage spreadsheets based data properly. The good news is that Mathematics of Big Data book published by MIT press book is proposing associative array algebra that is capable of properly processing spreadsheets, graph networks, matrices and databases [1], [2]. According to the book this is the first time such system is being proposed. They even provided open source D4M software in Python and Matlab to demonstrate the idea, probably worth checking out [3]. [1] Mathematics of Big Data…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1501.05709/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DB</category></item></channel></rss>
