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blogs.mathworks.com
| | walkingrandomly.com
7.9 parsecs away

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| | Welcome to the latest edition of A Month of Math Software which includes information on a new language for scientific computing, statistics software education in New Zealand as well as the usual mi...
| | francisbach.com
6.6 parsecs away

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| | [AI summary] The blog post discusses non-convex quadratic optimization problems and their solutions, including the use of strong duality, semidefinite programming (SDP) relaxations, and efficient algorithms. It highlights the importance of these problems in machine learning and optimization, particularly for non-convex problems where strong duality holds. The post also mentions the equivalence between certain non-convex problems and their convex relaxations, such as SDP, and provides examples of when these relaxations are tight or not. Key concepts include the role of eigenvalues in quadratic optimization, the use of Lagrange multipliers, and the application of methods like Newton-Raphson for solving these problems. The author also acknowledges contributions...
| | kevinkle.in
3.8 parsecs away

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| | I modeled solving a Sudoku board as a constraint optimization problem.
| | www.thepolyglotdeveloper.com
31.4 parsecs away

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| Learn how to search for developer positions and better prepare yourself for the technical interview process in this podcast episode with Brenda itReverie.