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karush-kuhn-tucker

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lakshmiDRIP / DROP-Numerical-Optimizer

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DRIP Numerical Optimizer is a collection of Java libraries for Numerical Optimization and Spline Functionality.

java constrained-optimization gradient-descent drip convex-optimization branch-and-bound numerical-optimizer root-search polynomial-search lagrange-multipliers karush-kuhn-tucker equality-inequality-constraints interior-point-method numerical-convergence-stability b-spline tension-spline shape-preserving-spline smoothening-spline spline-jacobian pchip-polynomial-spline
  • Updated Sep 26, 2018
  • CSS

roaked / nonlinear-opt-pattern-search-phd

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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

golden-ratio karush-kuhn-tucker non-linear-optimization pattern-search golden-section-search hooke-jeeves augmented-lagrangian pattern-searching-algorithms augmented-lagrangian-method golden-section penalty-methods penalty-method fletcher-reeves constrained-opt
  • Updated Jan 21, 2024
  • Python

ErfanRMN / Python-for-Economics-Series

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A series of practical, sufficient, and to-the-point crash courses offered at the University of Tehran, mostly for Economics students with no prior programming background.

visualization optimization linear-algebra linear-programming pandas microeconomics statistical-inference econometrics scipy differential-equations sympy statistical-distributions statsmodels eigenvalues karush-kuhn-tucker regression-analysis matplotlib-pyplot difference-equations mathematical-economics
  • Updated Jan 28, 2024
  • Jupyter Notebook

PradanyaBoro / Non_Linear_Programming

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MATLAB code implementations for Nonlinear Programming problems, covering methods like KKT conditions, optimization algorithms, genetic algorithms and penalty function approaches.

matlab genetic-algorithms nonlinear-programming karush-kuhn-tucker golden-section-search exhaustive-search non-linear-programming feasible-direction interval-halving dichotomous-searching fibonacci-method exterior-penalty-function-method interior-penalty-function-method
  • Updated May 9, 2024
  • MATLAB

devosmitachatterjee2018 / Nonlinear_Optimisation

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The project involves a practical optimization problem that is modelled and solved using some mathematical optimization methods and software.

duality convex-optimization karush-kuhn-tucker newton-method linear-optimization sequential-quadratic-programming steepest-descent simplex-method convex-analysis optimal-solutions lagrange-duality theory-of-optimality optimization-problems optimization-without-constraints non-linear-constrained-optimization convergence-properties descent-direction feasible-direction frank-wolfe-method
  • Updated Oct 24, 2020

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