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nhigham.com | ||
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nla-group.org
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| | | | | by Sven Hammarling and Nick Higham It is often thought that Jim Wilkinson developed backward error analysis because of his early involvement in solving systems of linear equations. In his 1970 Turing lecture [5] he described an experience, during world war II at the Armament Research Department, of solving a system of twelve linear equations | |
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walkingrandomly.com
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| | | | | Welcome to the 128th Carnival of Mathematics, the latest in a mathematical blogging tradition that's been ongoing for over 8 years now! Facts about 128 It's said that every number is in... | |
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www.jeremykun.com
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| | | | | The singular value decomposition (SVD) of a matrix is a fundamental tool in computer science, data analysis, and statistics. It's used for all kinds of applications from regression to prediction, to finding approximate solutions to optimization problems. In this series of two posts we'll motivate, define, compute, and use the singular value decomposition to analyze some data. (Jump to the second post) I want to spend the first post entirely on motivation and background. | |
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achemicalorthodoxy.co.uk
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| | | #CogSciSci is a grassroots collective of science teachers who are interested in promoting the use of Cognitive Science in the teaching of science. No one really remembers exactly how it started and no one is "in charge." Generally, we just aim to support each other, steal ideas, and become better teachers. We get a lot... | ||
