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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

We propose and study the weak convergence of a projective splitting algorithm for solving multi-term composite monotone inclusion problems involving the finite sum of $n$ maximal monotone operators, each of which having an inner four-block…

最优化与控制 · 数学 2024-05-08 M. Marques Alves

In this work, we propose and analyse two splitting algorithms for finding a zero of the sum of three monotone operators, one of which is assumed to be Lipschitz continuous. Each iteration of these algorithms require one forward evaluation…

最优化与控制 · 数学 2020-01-22 Janosch Rieger , Matthew K. Tam

In this work, we propose a new splitting algorithm for solving structured monotone inclusion problems composed of a maximally monotone operator, a maximally monotone and Lipschitz continuous operator and a cocoercive operator. Our method…

最优化与控制 · 数学 2025-11-07 Liqian Qin , Yuchao Tang , Jigen Peng

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 an adaptive forward-backward-forward splitting algorithm for finding a zero of a pseudo-monotone operator which is split as a sum of three operators: the first is continuous single-valued, the second is…

最优化与控制 · 数学 2025-03-04 Flavia Chorobura , Ion Necoara , Jean-Christophe Pesquet

This work describes a new variant of projective splitting for solving maximal monotone inclusions and complicated convex optimization problems. In the new version, cocoercive operators can be processed with a single forward step per…

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

The forward-backward operator splitting algorithm is one of the most important methods for solving the optimization problem of the sum of two convex functions, where one is differentiable with a Lipschitz continuous gradient and the other…

最优化与控制 · 数学 2019-08-30 Yu-Chao Tang , Guo-Rong Wu , Chuan-Xi Zhu

We propose a primal-dual splitting algorithm for solving monotone inclusions involving a mixture of sums, linear compositions, and parallel sums of set-valued and Lipschitzian operators. An important feature of the algorithm is that the…

最优化与控制 · 数学 2011-08-09 Patrick L. Combettes , Jean-Christophe Pesquet

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

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 paper, we propose an algorithm combining the forward-backward splitting method and the alternative projection method for solving the system of splitting inclusion problem. We want to find a point in the interception of a finite…

最优化与控制 · 数学 2016-04-08 R. Díaz Millán

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

We propose and analyze the convergence of a novel stochastic algorithm for solving monotone inclusions that are the sum of a maximal monotone operator and a monotone, Lipschitzian operator. The propose algorithm requires only unbiased…

最优化与控制 · 数学 2021-02-18 Nguyen Van Dung , Bang Cong Vu

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

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

We study the variable metric forward-backward splitting algorithm for convex minimization problems without the standard assumption of the Lipschitz continuity of the gradient. In this setting, we prove that, by requiring only mild…

最优化与控制 · 数学 2017-05-02 Saverio Salzo

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

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

This paper introduces the generalized forward-backward splitting algorithm for minimizing convex functions of the form $F + \sum_{i=1}^n G_i$, where $F$ has a Lipschitz-continuous gradient and the $G_i$'s are simple in the sense that their…

最优化与控制 · 数学 2014-02-11 Hugo Raguet , Jalal Fadili , Gabriel Peyré
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