2003
DOI: 10.1016/s0377-0427(02)00730-6
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Some recent advances in projection-type methods for variational inequalities

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Cited by 108 publications
(42 citation statements)
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“…Secondly, it is able to drop and add many constraints from and to the active set at each iteration. Due to its structural and theoretical advantages, various projection-type methods [8,9,12,21,25,27,28], such as the basic projection algorithm, the extragradient algorithm and its variants, and the hyperplane projection algorithm, have been designed to solve different convex optimization problems or monotone variational inequality problems. Interested readers may consult the monograph by Facchinei and Pang [5].…”
Section: Introductionmentioning
confidence: 99%
“…Secondly, it is able to drop and add many constraints from and to the active set at each iteration. Due to its structural and theoretical advantages, various projection-type methods [8,9,12,21,25,27,28], such as the basic projection algorithm, the extragradient algorithm and its variants, and the hyperplane projection algorithm, have been designed to solve different convex optimization problems or monotone variational inequality problems. Interested readers may consult the monograph by Facchinei and Pang [5].…”
Section: Introductionmentioning
confidence: 99%
“…In the setting of Hilbert spaces, one of the most efficient numerical techniques is the projection method and its variant forms; see 4,[6][7][8][9][10][11][12][13][14][15] . Since the standard projection method strictly depends on the inner product property of Hilbert spaces, it can no longer be applied for general mixed type variational inequalities in Banach spaces.…”
Section: Fixed Point Theory and Applicationsmentioning
confidence: 99%
“…These algorithms were also proposed for solving variational inequality problems, see f.i. [22]. In this work, we established the expected exact equivalence of non-degenerate LP problems and specific projection problems.…”
Section: Introductionmentioning
confidence: 97%