Abstract
This paper presents a hybrid spectral conjugate gradient method for large-scale unconstrained optimization, which possesses a self-adjusting property. Under the standard Wolfe conditions, its global convergence result is established. Preliminary numerical results are reported on a set of large-scale problems in CUTEr to show the convergence and efficiency of the proposed method.
Citation
Yuanying Qiu. Dandan Cui. Wei Xue. Gaohang Yu. "A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization." Abstr. Appl. Anal. 2013 (SI01) 1 - 8, 2013. https://doi.org/10.1155/2013/814912
Information