The performance analysis of a new modification of conjugate gradient parameter for unconstrained optimization models

Volume: 9, Issue: 1, Pages: 16 - 23
Published: Jan 1, 2021
Abstract
Conjugate Gradient (CG) method is the most prominent iterative mathematical technique that can be useful for the optimization of both linear and non-linear systems due to its simplicity, low memory requirement, computational cost, and global convergence properties. However, some of the classical CG methods have some drawbacks which include weak global convergence, poor numerical performance both in terms of number of iterations and the CPU time....
Paper Details
Title
The performance analysis of a new modification of conjugate gradient parameter for unconstrained optimization models
Published Date
Jan 1, 2021
Volume
9
Issue
1
Pages
16 - 23
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