A modified SQP method and its global convergence
From MaRDI portal
Publication:5906795
DOI10.1023/A:1008255227457zbMath0889.90135OpenAlexW1563799535MaRDI QIDQ5906795
Publication date: 28 August 1997
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1023/a:1008255227457
sequential quadratic programmingKuhn-Tucker pointpseudo directional derivativesrobust convergence theory
Related Items (20)
A conic trust-region method for optimization with nonlinear equality and inequality constrains via active-set strategy ⋮ Sequential penalty algorithm for nonlinear constrained optimization ⋮ A novel multidimensional penalty‐free approach for constrained optimal control of switched control systems ⋮ A variant of SQP method for inequality constrained optimization and its global convergence ⋮ A dwindling filter algorithm with a modified subproblem for nonlinear inequality constrained optimization ⋮ A globally and superlinearly convergent modified SQP-filter method ⋮ Global and local convergence of a nonmonotone SQP method for constrained nonlinear optimization ⋮ A trust-region method by active-set strategy for general nonlinear optimization ⋮ A modified SQP method and its global convergence ⋮ A trust region SQP-filter method for nonlinear second-order cone programming ⋮ A modified SQP-filter method for nonlinear complementarity problem ⋮ Parameter optimization using the \(L_\infty \) exact penalty function and strictly convex quadratic programming problems ⋮ A kind of nonmonotone filter method for nonlinear complementarity problem ⋮ An SQP-filter method for inequality constrained optimization and its global convergence ⋮ Global convergence of a robust filter SQP algorithm ⋮ A robust trust region method for nonlinear optimization with inequality constraint ⋮ A modified SQP-filter method and its global convergence ⋮ A feasible filter SQP algorithm with global and local convergence ⋮ A modified SQP method with nonmonotone technique and its global convergence ⋮ A SQP method for inequality constrained optimization.
This page was built for publication: A modified SQP method and its global convergence
