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optimization-solver

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Uno

cvanaret / Uno

Sponsor
Star 510

With Uno, finally take full control of your SQP/barrier solver for nonlinearly constrained optimization

cpp optimization constrained-optimization optimization-methods numerical-optimization nonlinear-optimization optimization-algorithms nonlinear-programming quadratic-programming interior-point-method newton-method continuous-optimization sequential-quadratic-programming mathematical-programming mathematical-optimization nonconvex-optimization local-optimization optimization-solver
  • Updated Sep 18, 2026
  • C++
conjugate-gradient-sparse-cg-solver-course

SENATOROVAI / conjugate-gradient-sparse-cg-solver-course

Star 15

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

python optimization solver scientific-computing iterative-methods conjugate-gradient sparse-linear-solver numerical-linear-algebra matrix-algorithms preconditioned-conjugate-gradient large-scale-optimization optimization-solver senatorov preconditioned-cg python-cg-implementation iterative-solver sparse-cg-solver solver-sparse-cg
  • Updated Mar 17, 2026
  • Jupyter Notebook

Pegah-Ardehkhani / Optimization-Problems-and-Solutions

Star 8

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)

python optimization modeling linear-programming pyomo cplex operations-research pulp r-programming integer-programming mixed-integer-programming stochastic-optimization non-linear-optimization optimization-modeling integer-linear-programming optimization-problem pulp-library pyomo-glpk optimization-solver pyomo-library
  • Updated Dec 10, 2024
  • Jupyter Notebook

Realife-Brahmin / WSU-Convex-Nonlinear-Nonsmooth-Analysis-and-Optimization

Star 1

Convex, Nonsmooth, Nonlinear Optimization Solver and Problems

genetic-algorithm constrained-optimization optimization-algorithms quadratic-programming washington-state-university linesearch derivative-free-optimization nelder-mead-simplex trust-region-methods derivative-based-optimization quasi-newton-method bfgs-algorithm optimization-solver nocedal-wright-numerical-optimization
  • Updated May 6, 2024
  • Julia

peymanpro / Convex-Quadratic-Programming-Solver

Star 0

Primal-dual interior-point solver for convex quadratic programming in Python. Mehrotra predictor-corrector, dense & sparse KKT (NumPy / SciPy SuperLU), Django REST API, reproducible benchmarks, and validation against OSQP and Clarabel.

python benchmarking numpy django-rest-framework swagger openapi scipy numerical-optimization hypothesis quadratic-programming convex-optimization interior-point-method mehrotra-predictor-corrector optimization-solver kkt-conditions
  • Updated Sep 17, 2026
  • Python

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