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 nobsstats.com
Appendix F - Calculus tutorial - No Bullshit Guide to Statistics
| | jingnanshi.com
Automatic Differentiation: Forward and Reverse
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| | Tutorial on automatic differentiation
| | pikuma.com
Pikuma: Verlet Integration and Cloth Physics Simulation
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| | Physics simulation in games is a super vast and interesting topic! This article explores how Verlet integration can be used to simulate 2D cloth physics with JavaScript and C++.
| | nicf.net
Quantum Field Theory III - Perturbation Theory and Feynman Diagrams | Nicolas James Marks Ford
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| | A blog about math by Nic Ford
| | www.jeremykun.com
Duality for the SVM | Math Programming
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| This post is a sequel to Formulating the Support Vector Machine Optimization Problem. The Karush-Kuhn-Tucker theorem Generic optimization problems are hard to solve efficiently. However, optimization problems whose objective and constraints have special structure often succumb to analytic simplifications. For example, if you want to optimize a linear function subject to linear equality constraints, one can compute the Lagrangian of the system and find the zeros of its gradient. More generally, optimizing...