A new self-scaling VM-algorithm for non-convex optimization, part 1
Abstract<br /> The self-scaling VM-algorithms solves an unconstrained non-linear optimization problems by scaling the Hessian approximation matrix before it is updated at each iteration to avoid the possible large eigen-values in the Hessian approximation matrices of the objective function f(x...
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| Main Authors: | , |
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| Format: | Book |
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College of Education for Pure Sciences,
2012-03-01T00:00:00Z.
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