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Hybrid Conjugate Gradient Algorithm for

โœ Scribed by N. Andrei


Publisher
Springer
Year
2008
Tongue
English
Weight
698 KB
Volume
141
Category
Article
ISSN
0022-3239

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In this paper, we propose two new hybrid nonlinear conjugate gradient methods, which produce sufficient descent search direction at every iteration. This property depends neither on the line search used nor on the convexity of the objective function. Under suitable conditions, we prove that the prop