Family weak conjugate gradient algorithms and their convergence analysis for nonconvex functions

Volume: 84, Issue: 3, Pages: 935 - 956
Published: Aug 16, 2019
Abstract
It is well-known that conjugate gradient algorithms are widely applied in many practical fields, for instance, engineering problems and finance models, as they are straightforward and characterized by a simple structure and low storage. However, challenging problems remain, such as the convergence of the PRP algorithms for nonconvexity under an inexact line search, obtaining a sufficient descent for all conjugate gradient methods, and other...
Paper Details
Title
Family weak conjugate gradient algorithms and their convergence analysis for nonconvex functions
Published Date
Aug 16, 2019
Volume
84
Issue
3
Pages
935 - 956
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