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prasanna00019 / Optimization-Methods

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A collection of optimization methods in engineering applications (OMEA), implemented in Python — including linear, nonlinear and constrained, with examples.

optimization optimization-methods engineering-optimisation optimization-algorithms exhaustive-search simplex-method fibonacci-search optimization-techniques newton-method-n-dimension conjugate-gradient-optimization quasi-newton-method newton-raphson-method two-phase-simplex steepest-descent-method dichotomous-searching
  • Updated Nov 7, 2025
  • 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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