On Limited Memory Self-Scaling VM-Algorithms for Unconstrained Optimization
Abstract<br /> In this paper, we have investigated a new scaling parameter in the standard memoryless L-BFGS algorithm. This new consideration is compared with the standard L-BFGS method under the assumption of the L-BFGS method with m=3, and by using ten nonlinear different dimensionality tes...
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Main Authors: | , , |
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Format: | Book |
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College of Education for Pure Sciences,
2010-09-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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Summary: | Abstract<br /> In this paper, we have investigated a new scaling parameter in the standard memoryless L-BFGS algorithm. This new consideration is compared with the standard L-BFGS method under the assumption of the L-BFGS method with m=3, and by using ten nonlinear different dimensionality test problems. The new modification performs very effective numerical results compared with the standard algorithm. |
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Item Description: | 1812-125X 2664-2530 10.33899/edusj.2010.58394 |