A New Globally Convergent of Spectral Hideaki - Yasushi Type Conjugate Gradient Method
This paper presents two new spectral conjugate gradient methods which are designed for solving nonlinear unconstrained optimization problems. These methods are based on the idea of the Hideaki - Yasushi<br /> method. Which produce sufficient descent search direction at every iteration. Experim...
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| Format: | Book |
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College of Education for Pure Sciences,
2018-06-01T00:00:00Z.
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| Summary: | This paper presents two new spectral conjugate gradient methods which are designed for solving nonlinear unconstrained optimization problems. These methods are based on the idea of the Hideaki - Yasushi<br /> method. Which produce sufficient descent search direction at every iteration. Experimental results indicate that the new proposed methods more efficient than the Hideaki - Yasush method |
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| Item Description: | 1812-125X 2664-2530 10.33899/edusj.2018.159312 |