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exhaustive-search

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

  • Updated May 9, 2024
  • MATLAB

AA First Assignment - The objective of this project was to find a minimum weighted closure for a given vertex-weighted directed graph G(V, E), with n vertices and m edges. Exhaustive Search and Greedy Algorithms were used to solve this problem, and both approaches were compared in terms of execution time, as well as time complexity.

  • Updated Jan 22, 2023
  • TeX

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