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Two Modified Spectral Conjugate Gradient methods for Optimization

    Author

    • Osama Mohammed Taher Wais
,
10.33899/berj.2018.159215
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Abstract

This paper presents two modified spectral conjugate gradient methods which are designed for solving nonlinear unconstrained optimization problems. The presented methods have sufficient descent properties . We prove that the methods is globally convergent. Experimental results indicate that the new proposed methods more efficient than the Dai and Yuan - method . .

Keywords

  • Spectral
  • Conjugate
  • Gradient
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    • Article View: 189
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College Of  Basic  Education  Research Journal
Volume 14, Issue 4
December 2018
Page 533-553
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  • Article View: 189
  • PDF Download: 90

APA

, O. M. T. W. (2018). Two Modified Spectral Conjugate Gradient methods for Optimization. College Of Basic Education Research Journal, 14(4), 533-553. doi: 10.33899/berj.2018.159215

MLA

Osama Mohammed Taher Wais . "Two Modified Spectral Conjugate Gradient methods for Optimization". College Of Basic Education Research Journal, 14, 4, 2018, 533-553. doi: 10.33899/berj.2018.159215

HARVARD

, O. M. T. W. (2018). 'Two Modified Spectral Conjugate Gradient methods for Optimization', College Of Basic Education Research Journal, 14(4), pp. 533-553. doi: 10.33899/berj.2018.159215

VANCOUVER

, O. M. T. W. Two Modified Spectral Conjugate Gradient methods for Optimization. College Of Basic Education Research Journal, 2018; 14(4): 533-553. doi: 10.33899/berj.2018.159215

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