Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Updated
Mar 18, 2025 - 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
An algebraic modeling and automatic differentiation tool in Julia Language, specialized for SIMD abstraction of nonlinear programs.
A MathOptInterface Optimizer to solve JuMP models using GAMS
An automatic differentiation and algebraic modeling package
Extended Mathematical Programming in Julia
Sparse, constrained switching times optimization
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