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

Abbas Y. AL-Bayati et al · University of Mosul, College of Education for Pure Science · 2012

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Author / responsible party
Abbas Y. AL-Bayati et al
Publisher
University of Mosul, College of Education for Pure Science
Year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English
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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 results indicate that the new proposed algorithm was more efficient than the standard BFGS- algorithm.

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APA 7

al, A. Y. A. B. E. (2012). A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization. https://doi.org/10.33899/edusj.2012.59195

MLA

al, Abbas Y. AL-Bayati et. "A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization." 2012. https://doi.org/10.33899/edusj.2012.59195.

Chicago

al, Abbas Y. AL-Bayati et. 2012. "A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization.". https://doi.org/10.33899/edusj.2012.59195.

Harvard

al, A. Y. A. B. E. 2012, A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2012.59195 [Accessed 8 Aug. 2026].

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Title
A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization
Author / contributors
Abbas Y. AL-Bayati et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2012
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

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bfgs algorithm; unconstrained optimization; hessian matrix
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