Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
A data structure for mathematical optimization problems
provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.
JuMP-based toolbox for solving bilevel optimization problems
This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.
NLPModel where all functions are defined by the user
VRPSolver experiments with combinatorial lower bounds for the home health care routing and scheduling problem
Quantum-Inspired Tensor Network QUBO Solver
A collection of optimization models & implementations. 优化模型 & 优化理论: 论文选读及代码复现；整理 & 搬运旧代码
Solve DNN relaxations of nonconvex quadratic programming problems.
Project on structured sets, with active face identification and quadratic convergence.
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