Stochastic Mirror Descent Dynamics and Their Convergence in Monotone Variational Inequalities. [PDF]
J Optim Theory Appl, 2018 Mertikopoulos P, Staudigl M.
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Approximate weakly efficient solutions of set-valued vector equilibrium problems. [PDF]
J Inequal Appl, 2018 Chen J, Xu Y, Zhang K.
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On the reformulation of nonlinear complementarity problems using the Fischer-Burmeister function
, 1999 A bounded-level-set result for a reformulation of the box-constrained variational inequality problem proposed recently by Facchinei, Fischer and Kanzow is proved.
Roberto Andreani
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Proximal extrapolated gradient methods for variational inequalities. [PDF]
Optim Methods Softw, 2018 Malitsky Y.
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Modified Projection-Type Methods For Monotone Variational Inequalities
, 1996 . We propose new methods for solving the variational inequality problem where the underlying function F is monotone. These methods may be viewed as projection-type methods in which the projection direction is modified by a strongly monotone mapping of ...
Michael V. Solodov, Paul Tseng
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Linear decomposition approach for a class of nonconvex programming problems. [PDF]
J Inequal Appl, 2017 Shen P, Wang C.
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On Smoothing Methods for the P 0 Matrix Linear Complementarity Problem
, 1998 In this paper, we propose a Big-M smoothing method for solving the P 0 matrix linear complementarity problem. We study the trajectory defined by the augmented smoothing equations and global convergence of the method under an assumption that the original
Xiaojun Chen, Yinyu Ye
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A new filter QP-free method for the nonlinear inequality constrained optimization problem. [PDF]
J Inequal Appl, 2018 Shang Y, Jin ZF, Pu D.
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A Predictor-Corrector Algorithm For A Class Of Nonlinear Saddle Point Problems
, 1994 . An interior path-following algorithm is proposed for solving the nonlinear saddle point problem minimax c T x + OE(x) + b T y \Gamma /(y) \Gamma y T Ax subject to (x; y) 2 X \Theta Y ae R n \Theta R m ; where OE(x) and /(y) are smooth ...
Gongyun Zhao +3 more
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Solving a class of generalized fractional programming problems using the feasibility of linear programs. [PDF]
J Inequal Appl, 2017 Shen P, Zhang T, Wang C.
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