Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Updated
Nov 14, 2024 - Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.
Efficient modeling interface for mathematical optimization in Python
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
Semidefinite programming optimization solver
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
Fast conic optimization in C
Documentation for the Clarabel interior point conic solver
MICO: Mutual Information and Conic Optimization for feature selection
An open source first-order MATLAB solver for conic programs with row sparsity.
Tools for modelling mathematical curves in Grasshopper
Chance-constrained control and pricing for natural gas networks using Julia/JuMP.
ECOS Solver for Java
Clarabel Solver for Java
SCIP Solver for Java
ECOS Solver for Java Native Libraries
Clarabel Solver for Java Native Libraries
SCIP Solver for Java Native Libraries
Case study results for the paper "Moving from linear to conic markets for electricity"
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