A Unified Pytorch Optimizer for Numerical Optimization
2D Matlab-based playground for various contaсt methods in FEA
keywords: nonlinear optimization, pattern search, augmented lagrangian, karush-kuhn-tucker, constrained optimization, conjugate gradient methods, quasi newton methods, line search descent methods, onedimensional and multidimensional optimazation
This is the official code for the AISTATS 2023 paper "Learning Constrained Structured Spaces with Application to Multi-Graph Matching"
Constrained non-convex optimization under a hard evaluation budget (Stanford AA222): a five-stage hybrid of penalty-method projected gradient, Sobol quasi-random sampling, and constraint-gradient nudging that returns feasible points on 499+ of 500 random starts, including a 10D problem with 8 constraints
This repository contains a collection of MATLAB scripts that implement some of the classical optimization methods for constrained optimization models: Penalty and Barrier methods, linear and non-linear Zoutendijk and also the Gradient Projection Method of Rosen (GPMR).
This Repository stores any Project & Assignment from Course : Numerical Computation & Optimization Models from KDAI Curriculum
In order to find which mushrooms are safe to eat, the decision tree data mining method is used.
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