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A New Conjugate Gradient Algorithm using Kafaki and Gambry Coefficient in Unconstrained Optimization

Sawsan Ismael · University of Mosul, College of Education for Pure Science · 2019

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Author / responsible party
Sawsan Ismael
Publisher
University of Mosul, College of Education for Pure Science
Year
2019
ISSN
1812-125X
ISSN
1812-125X
Language
English
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In this paper, a new conjugate gradient formula using Kafaki and Gambry is proposed. And we give the global convergence of new method.<br />Also we give descent and sufficient descent conditions.<br />Numerical results, show that this new formula is more efficient for solving unconstrained optimization problems comparing with other method (H/S),depending on the iterations and the number of functions evaluation.

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APA 7

Ismael, S. (2019). A New Conjugate Gradient Algorithm using Kafaki and Gambry Coefficient in Unconstrained Optimization. https://doi.org/10.33899/edusj.2019.162953

MLA

Ismael, Sawsan. "A New Conjugate Gradient Algorithm using Kafaki and Gambry Coefficient in Unconstrained Optimization." 2019. https://doi.org/10.33899/edusj.2019.162953.

Chicago

Ismael, Sawsan. 2019. "A New Conjugate Gradient Algorithm using Kafaki and Gambry Coefficient in Unconstrained Optimization.". https://doi.org/10.33899/edusj.2019.162953.

Harvard

Ismael, S. 2019, A New Conjugate Gradient Algorithm using Kafaki and Gambry Coefficient in Unconstrained Optimization, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2019.162953 [Accessed 9 Aug. 2026].

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Title
A New Conjugate Gradient Algorithm using Kafaki and Gambry Coefficient in Unconstrained Optimization
Author / contributors
Sawsan Ismael
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2019
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

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unrestricted optimization; conjugation; gradient conditions; adequate regression; and correlation requirement
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