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A next-gen Lagrange-Newton solver for nonconvex constrained optimization. Unifies barrier and SQP methods in a generic way, and implements various globalization flavors (line search/trust region and merit function/filter method/funnel method). Competitive against filterSQP, IPOPT, 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
Reduced mechanical and structural vibrations by moving lumped masses and performing shape optimization
linear causal discovery using continuous optimization method
The project involves a practical optimization problem that is modelled and solved using some mathematical optimization methods and software.