A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization

A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization

Abstract<br /> In this paper, a modified globally convergent self-scaling BFGS algorithm for solving convex unconstrained optimization problems was investigated in which it employs exact line search strategy and the inverse Hessian matrix approximations were positive definite. Experimental res...

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Bibliographic Details
Main Authors: Abbas Y. AL-Bayati, Basim A. Hassan, Sawsan S. Ismael
Format: Article
Language:Arabic
Published: College of Education for Pure Sciences 2012-09-01
Series:مجلة التربية والعلم
Subjects:
bfgs algorithm
unconstrained optimization
hessian matrix
Online Access:https://edusj.mosuljournals.com/article_59195_bbe78ef9aab43bf069260e531c2bdba2.pdf

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