Python interface for OSQP
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Updated
May 9, 2024 - Python
Python interface for OSQP
Quadratic programming solvers in Python with a unified API
Efficient modeling interface for mathematical optimization in Python
A library of modern Fortran modules for nonlinear optimization
Linear optimization software
A next-gen solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT
The Advanced Proximal Optimization Toolbox
Drop-in replacement of sklearn's Linear Regression with coefficients constraints
Convex, Nonsmooth, Nonlinear Optimization Solver and Problems
Data structures for linear and quadratic optimization problems based on NLPModels.jl
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
The Operator Splitting QP Solver
Splitting Conic Solver
Enhanced Quadratic Programming via Pseudo-Transient Continuation
Dashboard de mi TFM titulado "Aplicación de redes neuronales artificiales y programación cuadrática en la gestión de carteras"
A dual active-set algorithm for convex quadratic programming
Presentación de mi TFM titulado "Aplicación de redes neuronales artificiales y programación cuadrática en la gestión de carteras"
Mi TFM titulado "Aplicación de redes neuronales artificiales y programación cuadrática en la gestión de carteras"
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