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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

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

We propose an extended forward-backward algorithm for approximating a zero of a maximal monotone operator which can be split as the extended sum of two maximal monotone operators. We establish the weak convergence in average of the sequence…

最优化与控制 · 数学 2013-06-25 Marc Lassonde , Ludovic Nagesseur

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

Monotone inclusions have wide applications in solving various convex optimization problems arising in signal and image processing, machine learning, and medical image reconstruction. In this paper, we propose a new splitting algorithm for…

最优化与控制 · 数学 2020-09-29 Hui Yu , Chunxiang Zong , Yuchao Tang

In this paper, we develop rapidly convergent forward-backward algorithms for computing zeroes of the sum of finitely many maximally monotone operators. A modification of the classical forward-backward method for two general operators is…

最优化与控制 · 数学 2021-07-22 Paul-Emile Maingé

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

In this work, we present a methodology for devising forward-backward methods for finding zeros in the sum of a finite number of maximally monotone operators. We extend the framework and techniques from [SIAM J. Optim., 34 (2024), pp.…

最优化与控制 · 数学 2024-06-06 Francisco J. Aragón-Artacho , Rubén Campoy , César López-Pastor

We consider the primal problem of finding the zeros of the sum of a maximally monotone operator with the composition of another maximally monotone operator with a linear continuous operator and a corresponding dual problem formulated by…

最优化与控制 · 数学 2012-06-27 Radu Ioan Bot , Ernö Robert Csetnek , Andre Heinrich

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 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

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…

This paper presents an improved forward-backward splitting algorithm with two inertial parameters. It aims to find a point in the real Hilbert space at which the sum of a co-coercive operator and a maximal monotone operator vanishes. Under…

机器学习 · 计算机科学 2025-05-08 İrfan Işik , Ibrahim Karahan , Okan Erkaymaz

We address the problem of finding the zeros of the sum of a maximally monotone operator and a cocoercive operator. Our approach introduces a modification to the forward-backward method by integrating an inertial/momentum term alongside a…

最优化与控制 · 数学 2023-12-20 Radu Ioan Bot , Dang-Khoa Nguyen , Chunxiang Zong

We present a preconditioning of a generalized forward-backward splitting algorithm for finding a zero of a sum of maximally monotone operators $\sum_{i=1}^{n} A_i + B$ with $B$ cocoercive, involving only the computation of $B$ and of the…

最优化与控制 · 数学 2015-07-07 Raguet Hugo , Landrieu Loïc

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

We deal with monotone inclusion problems of the form $0\in Ax+Dx+N_C(x)$ in real Hilbert spaces, where $A$ is a maximally monotone operator, $D$ a cocoercive operator and $C$ the nonempty set of zeros of another cocoercive operator. We…

泛函分析 · 数学 2013-06-04 Radu Ioan Bot , Ernö Robert Csetnek

In this paper, we approach the problem of finding the zeros of the sum of a maximally monotone operator and a monotone and Lipschitz continuous one in a real Hilbert space via an implicit forward-backward-forward dynamical system with…

最优化与控制 · 数学 2015-04-23 Sebastian Banert , Radu Ioan Bot

In this paper, we propose an improved iterative method for solving the monotone inclusion problem in the form of $0 \in Ax + Dx + N_{C}(x)$ in real Hilbert space, where $A$ is a maximally monotone operator, $D$ and $B$ are monotone and…

最优化与控制 · 数学 2023-06-30 Buris Tongnoi

Monotone inclusions involving the sum of three maximally monotone operators or more have received much attention in recent years. In this paper, we propose three splitting algorithms for finding a zero of the sum of four monotone operators,…

最优化与控制 · 数学 2022-04-19 Jinjian Chen , Yuchao Tang
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