The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space. [PDF]
Censor Y, Gibali A, Reich S.
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TGV-regularized inversion of the Radon transform for photoacoustic tomography. [PDF]
Bredies K, Nuster R, Watschinger R.
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Extragradient subgradient methods for solving bilevel equilibrium problems. [PDF]
Yuying T, Dinh BV, Kim DS, Plubtieng S.
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Extragradient method in optimization: convergence and complexity
Regular
Phong-Nguyen, Trong +2 more
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A New Variational Inequality with its Application [PDF]
In this paper, we suggest the iterative algorithm for a variational inequality by using the auxiliary principle technique, which is closely related to the optimal boundary control of time-varying population system with age-dependence and spatial ...
Shi, Chao-Feng
core
Algorithms for the common solution of the split variational inequality problems and fixed point problems with applications. [PDF]
Lohawech P, Kaewcharoen A, Farajzadeh A.
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An Extragradient-Type Method for Variational Inequalities on Banach Spaces [PDF]
把王宜举等人[Modified extragradient—type method for variational inequali—ties and verification of the existence of solutions,J.Optim.Theory Appl.,2003,119:167-183]在欧氏空间上求解变分不等式的一个超梯度型方法推广到Banach空间.变分不等式中的算子不要求是一致连续的,其主要优点在于不管变分不等式是否有解,算法都是可执行的.此外 ...
唐国吉, 汪星
core
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis [PDF]
The extragradient method has gained popularity due to its robust convergence properties for differentiable games. Unlike single-objective optimization, game dynamics involve complex interactions reflected by the eigenvalues of the game vector field's ...
Kim, Junhyung Lyle +3 more
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Strong convergence of a hybrid method for monotone variational inequalities and fixed point problems
In this paper, we suggest a hybrid method for finding a common element of the set of solution of a monotone, Lipschitz-continuous variational inequality problem and the set of common fixed points of an infinite family of nonexpansive mappings.
Liou Yeong-Cheng +3 more
doaj
Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints. [PDF]
Boţ RI, Nguyen DK, Zong C.
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