Approximation BFGS methods for nonlinear
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Lin-Zhang Lu; Michael K. Ng; Fu-Rong Lin
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Article
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2009
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Elsevier Science
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English
β 634 KB
We consider the iterative solution of unconstrained minimization problems arising from nonlinear image restoration. Our approach is based on a novel generalized BFGS method for such large-scale image restoration minimization problems. The complexity per step of the method is of O(n log n) operations