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blogs.mathworks.com | ||
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kevinkle.in
I modeled solving a Sudoku board as a constraint optimization problem. |
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francisbach.com
[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... |
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blog.ifem.co.uk
This is a joint blog post by me and Jasmina Lazic, my co-presenter at #mathsconf6 (see my write up of the day) on Saturday 5th March 2016. Me and Jasmina first interacted over twitter, and over tim... |
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slightknack.dev
A cozy little corner of the web. |
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