The convergence properties of a new hybrid conjugate gradient parameter for unconstrained optimization models

Volume: 1734, Issue: 1, Pages: 012012 - 012012
Published: Jan 1, 2021
Abstract
The hybrid conjugate gradient (CG) algorithms are among the efficient modifications of the conjugate gradient methods. Some interesting features of the hybrid modifications include inherenting the nice convergence properties and efficient numerical performance of the existing CG methods. In this paper, we proposed a new hybrid CG algorithm that inherits the features of the Rivaie et al. (RMIL*) and Dai (RMIL+) conjugate gradient methods. The...
Paper Details
Title
The convergence properties of a new hybrid conjugate gradient parameter for unconstrained optimization models
Published Date
Jan 1, 2021
Volume
1734
Issue
1
Pages
012012 - 012012
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