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optimization-solver

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conjugate-gradient-sparse-cg-solver-course

The Conjugate Gradient (CG) method is an efficient iterative algorithm for solving large, sparse systems of linear equations where the matrix is symmetric and positive-definite. It finds the minimum of a quadratic function by generating conjugate search directions, ensuring convergence in at most steps for an matrix.Solver

  • Updated Mar 1, 2026
  • Jupyter Notebook

A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)

  • Updated Dec 10, 2024
  • Jupyter Notebook

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