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exterior-penalty-function-method

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MohEsmail143 / numerical-optimization-techniques

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A set of Jupyter notebooks that investigate and compare the performance of several numerical optimization techniques, both unconstrained (univariate search, Powell's method and Gradient Descent (fixed step and optimal step)) and constrained (Exterior Penalty method).

python optimization jupyter-notebook conda constrained-optimization matplotlib gradient-descent optimization-methods miniconda benchmark-functions unconstrained-optimization rosenbrock-function golden-section-search dejong easom rastringin-function exterior-penalty-function-method brainin univariate-search powell-method
  • Updated Mar 12, 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

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