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In this article, we propose a splitting algorithm to find zeros of the sum of four maximally monotone operators in real Hilbert spaces. In particular, we consider a Lipschitzian operator, a cocoercive operator, and a linear composite term.…

最优化与控制 · 数学 2024-09-27 Fernando Roldán

We introduce and investigate the convergence properties of an inertial forward-backward-forward splitting algorithm for approaching the set of zeros of the sum of a maximally monotone operator and a single-valued monotone and Lipschitzian…

最优化与控制 · 数学 2014-02-24 Radu Ioan Bot , Ernö Robert Csetnek

Splitting algorithms for finding a zero of sum of operators often involve multiple steps which are referred to as forward or backward steps. Forward steps are the explicit use of the operators and backward steps involve the operators…

最优化与控制 · 数学 2021-04-13 Minh N. Dao , Hung M. Phan

Finding a zero of the sum of two monotone operators is one of the most important problems in monotone operator theory, and the forward-backward algorithm is the most prominent approach for solving this type of problem. The aim of this paper…

泛函分析 · 数学 2021-08-12 Ebru ALTIPARMAK , Ibrahim KARAHAN

We shed light on the structure of the "three-operator" version of the forward-Douglas--Rachford splitting algorithm for finding a zero of a sum of maximally monotone operators $A + B + C$, where $B$ is cocoercive, involving only the…

最优化与控制 · 数学 2018-05-02 Hugo Raguet

We propose an inertial forward-backward splitting algorithm to compute the zero of a sum of two monotone operators allowing for stochastic errors in the computation of the operators. More precisely, we establish almost sure convergence in…

最优化与控制 · 数学 2015-07-06 Lorenzo Rosasco , Silvia Villa , Bang Cong Vu

In this work, we propose and analyse forward-backward-type algorithms for finding a zero of the sum of finitely many monotone operators, which are not based on reduction to a two operator inclusion in the product space. Each iteration of…

Tseng's forward-backward-forward algorithm is a valuable alternative for Korpelevich's extragradient method when solving variational inequalities over a convex and closed set governed by monotone and Lipschitz continuous operators, as it…

最优化与控制 · 数学 2020-08-03 Radu Ioan Bot , Ernö Robert Csetnek , Phan Tu Vuong

We study frugal splitting algorithms with minimal lifting for solving monotone inclusion problems involving sums of maximal monotone and cocoercive operators. Building on a foundational result by Ryu, we fully characterize all methods that…

最优化与控制 · 数学 2025-04-16 Anton Åkerman , Enis Chenchene , Pontus Giselsson , Emanuele Naldi

In this paper, we introduce three novel splitting algorithms for solving structured monotone inclusion problems involving the sum of a maximally monotone operator, a monotone and Lipschitz continuous operator and a cocoercive operator. Each…

最优化与控制 · 数学 2025-11-19 Liqian Qin , Aviv Gibali , Cuijie Zhang , Yuchao Tang

In this paper, we propose a reflected forward-backward splitting algorithic framework for finding a zero of the sum of finitely many monotone op-erators, including maximally monotone operators, cocoercive operators, and monotone and…

最优化与控制 · 数学 2026-05-19 Haowen Zheng , Yongyu Fu , Qiao-Li Dong , Shuangbao Li

In this paper, we propose an inertial forward backward splitting algorithm to compute a zero of the sum of two monotone operators, with one of the two operators being co-coercive. The algorithm is inspired by the accelerated gradient method…

计算机视觉与模式识别 · 计算机科学 2014-09-15 Dirk A. Lorenz , Thomas Pock

In infinite-dimensional Hilbert spaces we device a class of strongly convergent primal-dual schemes for solving variational inequalities defined by a Lipschitz continuous and pseudomonote map. Our novel numerical scheme is based on Tseng's…

最优化与控制 · 数学 2019-08-27 Benoit Duvocelle , Dennis Meier , Mathias Staudigl , Phan Tu Vuong

We propose and analyze the convergence of a novel stochastic forward-backward splitting algorithm for solving monotone inclusions given by the sum of a maximal monotone operator and a single-valued maximal monotone cocoercive operator. This…

最优化与控制 · 数学 2015-02-23 Lorenzo Rosasco , Silvia Villa , Bang Công Vũ

The goal of this paper is to present two algorithms for solving systems of inclusion problems, with all component of the systems being a sum of two maximal monotone operators. The algorithms are variants of the forward-backward splitting…

最优化与控制 · 数学 2018-05-28 R. Díaz Millán

In this paper, we propose and study several strongly convergent versions of the forward-reflected-backward splitting method of Malitsky and Tam for finding a zero of the sum of two monotone operators in a real Hilbert space. Our proposed…

最优化与控制 · 数学 2022-08-16 Chinedu Izuchukwu , Simeon Reich , Yekini Shehu , Adeolu Taiwo

We introduce a generalized forward-backward splitting method with penalty term for solving monotone inclusion problems involving the sum of a finite number of maximally monotone operators and the normal cone to the nonempty set of zeros of…

最优化与控制 · 数学 2018-07-31 Nimit Nimana , Narin Petrot

In this paper, we propose variants of forward-backward splitting method for solving the system of splitting inclusion problem. We propose a conceptual algorithm containing three variants, each having a different projection steps. The…

最优化与控制 · 数学 2016-01-05 R. Díaz Millán

We propose a variable metric extension of the forward--backward-forward algorithm for finding a zero of the sum of a maximally monotone operator and a Lipschitzian monotone operator in Hilbert spaces. In turn, this framework provides a…

最优化与控制 · 数学 2012-11-01 B. C. Vũ

This work is concerned with the classical problem of finding a zero of a sum of maximal monotone operators. For the projective splitting framework recently proposed by Combettes and Eckstein, we show how to replace the fundamental…

最优化与控制 · 数学 2020-08-24 Patrick R. Johnstone , Jonathan Eckstein