Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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Updated
May 23, 2024 - Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Splitting Conic Solver
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.
Bayesian Optimization of Combinatorial Structures
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
LipSDP - Lipschitz Estimation for Neural Networks
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
Certifiable Outlier-Robust Geometric Perception
Solver for Large-Scale Rank-One Semidefinite Relaxations
Semidefinite programming optimization solver
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
Code of the Performance Estimation Toolbox (PESTO) whose aim is to ease the access to the PEP methodology for performing worst-case analyses of first-order methods in convex and nonconvex optimization. The numerical worst-case analyses from PEP can be performed just by writting the algorithms just as you would implement them.
Polynomial optimization problem solver. Uses relaxation to convert the problem into Semidefinite programming. Can be also used just as Semidefinite programming solver.
Representability is a library to work with linearly constrained mathematical programs over tensors.
MICO: Mutual Information and Conic Optimization for feature selection
Documentation for the Clarabel interior point conic solver
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