Several Guaranteed Descent Conjugate Gradient Methods for Unconstrained Optimization

San-Yang Liu and Yuan-Yuan Huang

Journal of Applied Mathematics, 2014, vol. 2014, 1-14

Abstract:

This paper investigates a general form of guaranteed descent conjugate gradient methods which satisfies the descent condition and which is strongly convergent whenever the weak Wolfe line search is fulfilled. Moreover, we present several specific guaranteed descent conjugate gradient methods and give their numerical results for large-scale unconstrained optimization.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnljam:825958

DOI: 10.1155/2014/825958

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