A trust region method for solving linearly constrained locally Lipschitz optimization problems

DOI10.1080/02331934.2017.1339702zbMath1414.90321OpenAlexW2625453108MaRDI QIDQ4559395

Rohollah Yousefpour, Z. Akbari

Publication date: 3 December 2018

Published in: Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331934.2017.1339702

zbMATH Keywords

linear constraintsLipschitz functionsCG-Steihaug methodnonsmooth trust region methodnull space technique

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items (1)

An extension of the quasi-Newton method for minimizing locally Lipschitz functions

Uses Software

• Matlab

Cites Work

• A trust region method for minimization of nonsmooth functions with linear constraints
• An effective nonsmooth optimization algorithm for locally Lipschitz functions
• A new nonsmooth trust region algorithm for locally Lipschitz unconstrained optimization problems
• A derivative-free method for linearly constrained nonsmooth optimization
• Linearly Constrained Nonsmooth and Nonconvex Minimization
• Introduction to Nonsmooth Optimization
• Finding the nearest point in A polytope
• Numerical Optimization
• Finding the Point of a Polyhedron Closest to the Origin
• A modification of Wolfe's method
• Unnamed Item
• Unnamed Item

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