A new spectral conjugate gradient method for large-scale unconstrained optimization

Volume: 32, Issue: 3, Pages: 503 - 515
Published: Sep 26, 2016
Abstract
The spectral conjugate gradient methods, with simple construction and nice numerical performance, are a kind of effective methods for solving large-scale unconstrained optimization problems. In this paper, based on quasi-Newton direction and quasi-Newton condition, and motivated by the idea of spectral conjugate gradient method as well as Dai-Kou's selecting technique for conjugate parameter [SIAM J. Optim. 23 (2013), pp. 296–320], a new...
Paper Details
Title
A new spectral conjugate gradient method for large-scale unconstrained optimization
Published Date
Sep 26, 2016
Volume
32
Issue
3
Pages
503 - 515
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