A note on the global convergence theorem of the scaled conjugate gradient algorithms proposed by Andrei

In (Andrei, Comput. Optim. Appl. 38:402–416, 2007 ), the efficient scaled conjugate gradient algorithm SCALCG is proposed for solving unconstrained optimization problems. However, due to a wrong inequality used in (Andrei, Comput. Optim. Appl. 38:402–416, 2007 ) to show the sufficient descent proper...

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Veröffentlicht in:	Computational optimization and applications Jg. 52; H. 2; S. 409 - 414
1. Verfasser:	Babaie-Kafaki, Saman
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.06.2012 Springer Nature B.V
Schlagworte:	Algorithms Analysis Approximation Computer science Conjugate gradients Convergence Convex and Discrete Geometry Descent Eigenvalues Iterative methods Management Science Mathematics Mathematics and Statistics Operations Research Operations Research/Decision Theory Optimization Optimization algorithms Proving Searching Statistics Studies Theorems Line search Sufficient descent condition Global convergence Scaled conjugate gradient algorithm
ISSN:	0926-6003, 1573-2894
Online-Zugang:	Volltext
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