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Computational Methods for Optimization

Project work as part of USC's MATH 467: Theory and Computational Methods for Optimization

Contains:

  • implementation of fixed step gradient, newton method and conjugate gradient solvers
  • implementation of a basic simplex solver using a tableau

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