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AL-Rafidain Journal of Computer Sciences and Mathematics

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New Conjugacy Coefficient for Conjugate Gradient Method for Unconstrained Optimization

    Hamsa TH. Chilmeran Huda Y. Najm

AL-Rafidain Journal of Computer Sciences and Mathematics, 2013, Volume 10, Issue 2, Pages 33-46
10.33899/csmj.2013.163473

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Abstract

In this paper, we derived a new conjugacy coefficient of conjugate gradient method which is based on non-linear function using inexact line searches. This method satisfied sufficient descent condition and the converges globally is provided. The numerical results indicate that the new approach yields very effective depending on number of iterations and number of functions evaluation .
 
Keywords:
    unconstrained Optimization conjugate gradient method inexact line search global convergence and strong wolf condition
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(2013). New Conjugacy Coefficient for Conjugate Gradient Method for Unconstrained Optimization. AL-Rafidain Journal of Computer Sciences and Mathematics, 10(2), 33-46. doi: 10.33899/csmj.2013.163473
Hamsa TH. Chilmeran; Huda Y. Najm. "New Conjugacy Coefficient for Conjugate Gradient Method for Unconstrained Optimization". AL-Rafidain Journal of Computer Sciences and Mathematics, 10, 2, 2013, 33-46. doi: 10.33899/csmj.2013.163473
(2013). 'New Conjugacy Coefficient for Conjugate Gradient Method for Unconstrained Optimization', AL-Rafidain Journal of Computer Sciences and Mathematics, 10(2), pp. 33-46. doi: 10.33899/csmj.2013.163473
New Conjugacy Coefficient for Conjugate Gradient Method for Unconstrained Optimization. AL-Rafidain Journal of Computer Sciences and Mathematics, 2013; 10(2): 33-46. doi: 10.33899/csmj.2013.163473
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