Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration
The iterative solution of unconstrained optimization problems has been found in a variety of significant applications of research areas, such as image restoration. In this paper, we present an efficient limited memory quasi-Newton technique based on symmetric rank-one updating formula to compute mea...
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| Format: | Article |
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Springer Berlin Heidelberg
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/34383/ |