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A new self scaling PCG algorithm with dynamical retards

ABBAS Y. AL-BAYATI et al · University of Mosul, College of Education for Pure Science · 2008

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Author / responsible party
ABBAS Y. AL-BAYATI et al
Publisher
University of Mosul, College of Education for Pure Science
Year
2008
ISSN
1812-125X
ISSN
1812-125X
Language
English
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Abstract<br /> The problem of optimizing a certain systems as a function of time may be formulated in terms of maximizing or minimizing a non-linear cost function. It was found that a Dynamic Programming (DP) algorithm was particularly efficient procedure for solving this problem compared with an alternative nonlinear programming method.<br /> In this work, a new CG method with dynamical retards is generalized and combined in a dynamical way with non-monotone globalization strategies to obtain a new type CG-algorithm for minimizing non-quadratic functions that can deal efficiently with large scale nonlinear optimization problems.

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APA 7

al, A. Y. A. B. E. (2008). A new self scaling PCG algorithm with dynamical retards. https://doi.org/10.33899/edusj.2008.51257

MLA

al, ABBAS Y. AL-BAYATI et. "A new self scaling PCG algorithm with dynamical retards." 2008. https://doi.org/10.33899/edusj.2008.51257.

Chicago

al, ABBAS Y. AL-BAYATI et. 2008. "A new self scaling PCG algorithm with dynamical retards.". https://doi.org/10.33899/edusj.2008.51257.

Harvard

al, A. Y. A. B. E. 2008, A new self scaling PCG algorithm with dynamical retards, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2008.51257 [Accessed 7 Aug. 2026].

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Title
A new self scaling PCG algorithm with dynamical retards
Author / contributors
ABBAS Y. AL-BAYATI et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2008
ISSN
1812-125X
ISSN
1812-125X
Language
English

Subjects

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self scaling algorithm; dynamical retards; non linear optimization
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