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Two-point Stepsize Gradient Algoriyhms for Unconstrained Optimization

    Authors

    • Abbas Y. Al-Bayati
    • Huda I. Ahmed
,
10.33899/iqjoss.2007.32501
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Abstract

In this paper we have investigated three algorithms. In the first algorithm we have derived a new optimal step size gradient algorithm which is preferable over the classical SD algorithm both in theory and in the real computation. In the second algorithm we have derived and implemented a new formula for the non-quadratic model with a new . In the third algorithm we have tried to make a new hybrid algorithm between the above three different step sizes.
Our numerical results are promising in general by implementing ten non-linear different test functions with different dimensions.

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IRAQI JOURNAL OF STATISTICAL SCIENCES
Volume 7, Issue 1
June 2007
Page 1-26
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  • Article View: 231
  • PDF Download: 126

APA

Y. Al-Bayati, A., & I. Ahmed, H. (2007). Two-point Stepsize Gradient Algoriyhms for Unconstrained Optimization. IRAQI JOURNAL OF STATISTICAL SCIENCES, 7(1), 1-26. doi: 10.33899/iqjoss.2007.32501

MLA

Abbas Y. Al-Bayati; Huda I. Ahmed. "Two-point Stepsize Gradient Algoriyhms for Unconstrained Optimization". IRAQI JOURNAL OF STATISTICAL SCIENCES, 7, 1, 2007, 1-26. doi: 10.33899/iqjoss.2007.32501

HARVARD

Y. Al-Bayati, A., I. Ahmed, H. (2007). 'Two-point Stepsize Gradient Algoriyhms for Unconstrained Optimization', IRAQI JOURNAL OF STATISTICAL SCIENCES, 7(1), pp. 1-26. doi: 10.33899/iqjoss.2007.32501

VANCOUVER

Y. Al-Bayati, A., I. Ahmed, H. Two-point Stepsize Gradient Algoriyhms for Unconstrained Optimization. IRAQI JOURNAL OF STATISTICAL SCIENCES, 2007; 7(1): 1-26. doi: 10.33899/iqjoss.2007.32501

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