HPC solver for nonlinear optimization problems
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Updated
May 8, 2024 - C++
HPC solver for nonlinear optimization problems
MATLAB implementations of a variety of nonlinear programming algorithms.
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
A trust-region interior-point method for general nonlinear programing problems (GSoC 2017).
This repo collects results of nonlinear optimization solvers on standard benchmark problems
Nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their numerical expression using various programming languages.
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