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A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL

Abbas. AI-Bayati et al · University of Mosul, College of Education for Pure Science · 2006

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In this paper a new preconditioned Extended Conjugate Gradient with self-scaling Variable Metric method is proposed for unconstrained optimization. This method is based on the inexact line searches and it is examined by using different nonlinear test functions with various dimensions.

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APA 7

al, A. A. B. E. (2006). A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL. https://doi.org/10.33899/edusj.2006.79231

MLA

al, Abbas. AI-Bayati et. "A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL." 2006. https://doi.org/10.33899/edusj.2006.79231.

Chicago

al, Abbas. AI-Bayati et. 2006. "A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL.". https://doi.org/10.33899/edusj.2006.79231.

Harvard

al, A. A. B. E. 2006, A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL, University of Mosul, College of Education for Pure Science, available at: https://doi.org/10.33899/edusj.2006.79231 [Accessed 8 Aug. 2026].

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Title
A PCG ALGORITHM FOR NON-LINEAR OPTIMIZATION BASED ON A QUADRATIC MODEL
Author / contributors
Abbas. AI-Bayati et al
Publisher
University of Mosul, College of Education for Pure Science
Publication year
2006
ISSN
1812-125X
ISSN
1812-125X
Language
English

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