A dwindling filter inexact projected Hessian algorithm for large scale nonlinear constrained optimization

DOI10.1016/j.amc.2013.05.011zbMath1302.65154OpenAlexW2032684810MaRDI QIDQ482437

Chao Gu

Publication date: 30 December 2014

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2013.05.011

zbMATH Keywords

convergenceLagrangian functionlarge scale optimizationdwindling filter methodinexact projected Hessian algorithmMaratos effect

Mathematics Subject Classification ID

Large-scale problems in mathematical programming (90C06) Nonlinear programming (90C30) Numerical optimization and variational techniques (65K10)

Related Items (5)

A dwindling filter trust region algorithm for nonlinear optimization ⋮ Decomposition-based interior point methods for stochastic quadratic second-order cone programming ⋮ A new inexact SQP algorithm for nonlinear systems of mixed equalities and inequalities ⋮ Inexact restoration method for nonlinear optimization without derivatives ⋮ Convergence of a Three-Dimensional Dwindling Filter Algorithm Without Feasibility Restoration Phase

Uses Software

• ipfilter

Cites Work

• A reduced Hessian algorithm with line search filter method for nonlinear programming
• A secant algorithm with line search filter method for nonlinear optimization
• A derivative-free filter algorithm for nonlinear complementarity problem
• A globally and superlinearly convergent modified SQP-filter method
• A projection-filter method for solving nonlinear complementarity problems
• A filter-variable-metric method for nonsmooth convex constrained optimization
• On filter-successive linearization methods for nonlinear semidefinite programming
• A globally convergent primal-dual interior-point filter method for nonlinear programming
• Numerical experience with a reduced Hessian method for large scale constrained optimization
• A non-monotone line search multidimensional filter-SQP method for general nonlinear programming
• A trust region filter method for general non-linear programming
• Projected Hessian Updating Algorithms for Nonlinearly Constrained Optimization
• Numerical Optimization
• A Pattern Search Filter Method for Nonlinear Programming without Derivatives
• On the Global Convergence of a Filter--SQP Algorithm
• Global Convergence of a Trust-Region SQP-Filter Algorithm for General Nonlinear Programming
• Line Search Filter Methods for Nonlinear Programming: Motivation and Global Convergence
• Line Search Filter Methods for Nonlinear Programming: Local Convergence
• A Filter-Trust-Region Method for Unconstrained Optimization
• A dwindling filter line search method for unconstrained optimization
• A globally convergent trust region multidimensional filter SQP algorithm for nonlinear programming
• Nonlinear programming without a penalty function.

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