semidefinite-programming
There are 6 repositories under semidefinite-programming topic.
- JuMP.jl
jump-dev / JuMP.jl
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Language:Julia 2361 - scsLanguage:C 598
oxfordcontrol / Clarabel.rs
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Language:Rust 482david-m-rosen / SE-Sync
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
Language:Jupyter Notebook 422COSMO: Accelerated ADMM-based solver for convex conic optimisation problems (LP, QP, SOCP, SDP, ExpCP, PowCP). Automatic chordal decomposition of sparse semidefinite programs.
Language:Julia 305vprusso / toqito
|toqito> (Theory of Quantum Information Toolkit) is a Python library for research in quantum information theory.
Language:Python 256Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
Language:Julia 227WU-CVGL / GlobustVP
[CVPR 2025 Award Candidate & Oral] Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World
Language:Python 125MIT-SPARK / CertifiablyRobustPerception
Certifiable Outlier-Robust Geometric Perception
Language:MATLAB 124JuliaNonconvex / Nonconvex.jl
Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.
augmented-lagrangian-methodautomatic-differentiationbayesian-optimizationblack-box-optimizationderivative-free-optimizationdiscrete-optimizationevolutionary-algorithmsglobal-optimizationimplicit-differentiationinterior-point-optimizermetaheuristicsmethod-of-moving-asymptotesmixed-integer-nonlinear-programmingnonlinear-optimizationnonlinear-programmingoptimizationsemidefinite-programmingsurrogate-assisted-optimizationgradient-based-optimisationLanguage:Julia 118- Language:MATLAB 99
- ProxSDP.jl
mariohsouto / ProxSDP.jl
Semidefinite programming optimization solver
Language:Julia 96 PerformanceEstimation / PEPit
PEPit is a package enabling computer-assisted worst-case analyses of first-order optimization methods.
Language:Python 91- Language:MATLAB 71
- Language:MATLAB 70
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.
Language:MATLAB 55Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
Language:C++ 53MagedMohamedTurk / Turbomachinery-Rotors-Balancing
Python Tools to Practically Model and Solve the Problem of High Speed Rotor Balancing.
compressorconvex-optimizationcvxpycvxpy-python-libraryjupyter-notebookleast-square-regressionlinear-modelslinear-programminglinear-regressionlmimixed-integer-programmingoptimizationoptimization-algorithmsoptimization-methodspython-scriptpython3rotor-bladesrotor-dynamicsemidefinite-programmingturbineLanguage:Python 33Documentation for the Clarabel interior point conic solver
Language:Julia 30[ECCV 2024] GlobalPointer: Large-Scale Plane Adjustment with Bi-Convex Relaxation
Language:MATLAB 27harshangrjn / LaplacianOpt.jl
A Julia/JuMP Package for Maximizing Algebraic Connectivity of Undirected Weighted Graphs
Language:Julia 26PavelTrutman / polyopt
Polynomial optimization problem solver. Uses relaxation to convert the problem into Semidefinite programming. Can be also used just as Semidefinite programming solver.
Language:Python 21FishboneChiang / SDPJSolver.jl
A parallelized, arbitrary precision semidefinite program solver based on the primal-dual interior-point method.
Language:Julia 18- mico
jupiters1117 / mico
MICO: Mutual Information and Conic Optimization for feature selection
Language:Python 17 FHoltorf / MarkovBounds.jl
A Julia package for the computation of hard, theoretically guaranteed bounds on the moments of jump-diffusion processes with polynomial data
Language:Julia 15mghasemi / Irene
Irene is a python package that aims to be a toolkit for global optimization problems that can be realized algebraically. It generalizes Lasserre's Relaxation method to handle theoretically any optimization problem with bounded feasibility set. The method is based on solutions of generalized truncated moment problems over commutative real algebras.
Language:Python 15sdpa-python / sdpa-python
SemiDefinite Programming Algorithm (SDPA) for Python
Language:C++ 12- Language:Julia 11
aeroimperial-optimization / mpYALMIP
An open-source interface to use the multiple-precision solver SDPA-GMP with YALMIP
Language:MATLAB 10An open-source add-on for YALMIP to solve optimisation problems with polynomial quadratic integral inequality constraints.
Language:MATLAB 10- Language:Rocq Prover 10
antoniosudoso / sos-sdp
SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering
Language:C++ 9xiaohan2012 / signed-local-community
[WebConf 2020] Searching for polarization in signed graphs: a local spectral approach
Language:Jupyter Notebook 9nmltd / numerical-methods-java
Numerical Methods Using Java: For Data Science, Analysis, and Engineering https://www.amazon.com/Numerical-Methods-Using-Java-Engineering/dp/1484267966
Language:Java 8rigetti / representability
Representability is a library to work with linearly constrained mathematical programs over tensors.
Language:Python 8mikkelpm / stderr_calibration_matlab
Standard errors for moment matching estimators given limited knowledge about the moment variance-covariance matrix
Language:MATLAB 6
