Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
-
Updated
Jul 23, 2024 - Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Arrays with arbitrarily nested named components.
An intuitive modeling interface for infinite-dimensional optimization problems.
Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
A MathOptInterface Optimizer to solve JuMP models using GAMS
An automatic differentiation and algebraic modeling package
Extended Mathematical Programming in Julia
An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.
Sparse, constrained switching times optimization
Add a description, image, and links to the modeling-language topic page so that developers can more easily learn about it.
To associate your repository with the modeling-language topic, visit your repo's landing page and select "manage topics."