A Modified Globally Convergent Self-Scaling BFGS Algorithm for Unconstrained Optimization
Abstract<br /> In this paper, a modified globally convergent self-scaling BFGS algorithm for solving convex unconstrained optimization problems was investigated in which it employs exact line search strategy and the inverse Hessian matrix approximations were positive definite. Experimental res...
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| Main Authors: | , , |
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| Format: | Book |
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College of Education for Pure Sciences,
2012-09-01T00:00:00Z.
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |