A Conic Algorithm for Optimization

DOI10.1137/0906019zbMath0561.65041OpenAlexW2040567196MaRDI QIDQ5186648

Herve Gourgeon, Nocedal, Jorge

Publication date: 1985

Published in: SIAM Journal on Scientific and Statistical Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/0906019

zbMATH Keywords

optimizationerror boundsnumerical stabilityconjugate gradientconic function

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25)

Related Items (13)

Interpolation by conic model for unconstrained optimization ⋮ A new subspace minimization conjugate gradient method based on conic model for large-scale unconstrained optimization ⋮ A quasi-Newton trust region method with a new conic model for the unconstrained optimization ⋮ A conic trust-region method for optimization with nonlinear equality and inequality constrains via active-set strategy ⋮ A model-hybrid approach for unconstrained optimization problems ⋮ A nonmonotone adaptive trust region method based on conic model for unconstrained optimization ⋮ A modified Newton-like method for nonlinear equations ⋮ A trust-region method with a conic model for unconstrained optimization ⋮ A simple alternating direction method for the conic trust region subproblem ⋮ A quasi-Newton trust region method based on a new fractional model ⋮ Nonmonotone adaptive trust region method based on simple conic model for unconstrained optimization ⋮ A variant of trust-region methods for unconstrained optimization ⋮ A conic trust-region method and its convergence properties

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