A New Spectral Conjugate Gradient Method and Its Global Convergence
Year: 2013
Journal of Information and Computing Science, Vol. 8 (2013), Iss. 1 : pp. 75–80
Abstract
Combining the advantage of spectral-gradient method, a spectral conjugate gradient method for the global optimization is presented. This method has the property that the generated search direction is sufficiently descent without utilizing the line search. The proof of the convergence of the proposed method is given. Numerical experiments show that the method is efficient and feasible.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22630
Journal of Information and Computing Science, Vol. 8 (2013), Iss. 1 : pp. 75–80
Published online: 2013-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 6