Current position: Home >> Scientific Research >> Paper Publications

A parameter conjugate gradient method based on secant equation for unconstrained optimization

Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2015-11-01

Journal: Journal of Information and Computational Science

Included Journals: Scopus、EI

Volume: 12

Issue: 16

Page Number: 5865-5871

ISSN: 15487741

Abstract: Based on a modified secant equation, a new parameter conjugate gradient method is proposed. Information of both gradient and function of objective function is considered in our method. The proposed method always produces a descent search direction and is shown to be globally convergent under reasonable assumptions. Numerical results are reported to show the efficiency of the proposed methods. ? 2015 by Binary Information Press

Prev One:A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis

Next One:A Modified Learning Algorithm for Interval Perceptrons with Interval Weights