HPC solver for nonlinear optimization problems
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Updated
Jun 12, 2024 - C++
HPC solver for nonlinear optimization problems
Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
Linear optimization software
Interior-point solver in pure Julia
An Proximal Interior Point Quadratic Programming solver
Clarabel.cpp: C/C++ interface to the Clarabel Interior-point solver for convex conic optimisation problems.
Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.
Documentation for the Clarabel interior point conic solver
High-performance interior-point-method QP and QCQP solvers
Rust Interior Point Solver
Incremental Potential Contact (IPC) is for robust and accurate time stepping of nonlinear elastodynamics. IPC guarantees intersection- and inversion-free trajectories regardless of materials, time-step sizes, velocities, or deformation severity.
This project offers the method in D. Ge, C. Wang, Z. Xiong, and Y. Ye's paper From an Interior Point to a Corner Point: Smart Crossover.
a refactored, stripped down, opinionated version of HPIPM
This repository contains the assignments done during the Linear Optimization course offered by Indraprastha Institute of Information Technology, Delhi during Winter 2023.
C++ interface for hpipm, a high-performance interior point MPC solver
This repository contains assignments completed in the course "Convex Optimisation" using python
qpSWIFT is a light-weight sparse quadratic programming solver
Code written as a part of assignments for MTH374 - Linear Optimisation taken by Dr. Pravesh Biyani at IIIT Delhi in Winter 2019 Semester
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