A dwindling filter line search method for unconstrained optimization
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Publication:5497020
DOI10.1090/S0025-5718-2014-02847-0zbMath1307.65085OpenAlexW2006995399MaRDI QIDQ5497020
Publication date: 30 January 2015
Published in: Mathematics of Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1090/s0025-5718-2014-02847-0
algorithmunconstrained optimizationglobal convergenceline searchnumerical resultfilter methodnegative curvature direction
Related Items (13)
A new simple model trust-region method with generalized Barzilai-Borwein parameter for large-scale optimization ⋮ A dwindling filter trust region algorithm for nonlinear optimization ⋮ On the global convergence of a projective trust region algorithm for nonlinear equality constrained optimization ⋮ Global and local convergence of a new affine scaling trust region algorithm for linearly constrained optimization ⋮ A new inexact SQP algorithm for nonlinear systems of mixed equalities and inequalities ⋮ A dwindling filter line search algorithm for nonlinear equality constrained optimization ⋮ A new filter algorithm for a system of nonlinear equations ⋮ A dwindling filter algorithm with a modified subproblem for nonlinear inequality constrained optimization ⋮ Descent line search scheme using Geršgorin circle theorem ⋮ A dwindling filter inexact projected Hessian algorithm for large scale nonlinear constrained optimization ⋮ Convergence of a Three-Dimensional Dwindling Filter Algorithm Without Feasibility Restoration Phase ⋮ Some results on the filter method for nonlinear complementary problems ⋮ On filter-successive linearization methods for nonlinear semidefinite programming
Uses Software
Cites Work
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