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Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems

Abbas AL-Bayati et al · University of Mosul, College of Education for Pure Science · 2014

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Author / responsible party
Abbas AL-Bayati et al
Publisher
University of Mosul, College of Education for Pure Science
Year
2014
ISSN
1812-125X
ISSN
1812-125X
Language
English
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In this paper, we have discussed and investigated two nonlinear extended PR-CG method which use function and gradient values. The two new methods involve the standard CG-methods and have the sufficient descent and globally convergence properties under certain conditions. We have got some important numerical results by comparing the new method with Wu and Chen PRCG-(2010) method in this field.

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APA 7

al, A. A. B. E. (2014). Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems. https://doi.org/10.33899/edusj.2014.161565

MLA

al, Abbas AL-Bayati et. "Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems." 2014. https://doi.org/10.33899/edusj.2014.161565.

Chicago

al, Abbas AL-Bayati et. 2014. "Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems.". https://doi.org/10.33899/edusj.2014.161565.

Harvard

al, A. A. B. E. 2014, Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2014.161565 [Accessed 8 Aug. 2026].

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Title
Two New Extended PR Conjugate Gradient Methods for Solving Nonlinear Minimization Problems
Author / contributors
Abbas AL-Bayati et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2014
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

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extended conjugate gradient method; minimization problems; non-quadratic models; sufficient descent; global convergence
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