Limited memory methods with improved symmetric rank-one updates and its applications on nonlinear image restoration

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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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Bibliographic Details
Main Authors:	Khiyabani, Farzin Modarres, Leong, Wah June
Format:	Article
Published:	Springer Berlin Heidelberg 2014
Online Access:	http://psasir.upm.edu.my/id/eprint/34383/

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