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Bregman three-operator splitting methods (Q2696977)

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Language	Label	Description	Also known as
English	Bregman three-operator splitting methods	scientific article

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scholarly article

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Bregman three-operator splitting methods (English)

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Lieven Vandenberghe

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Journal of Optimization Theory and Applications

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publication date

17 April 2023

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full work available at URL

https://arxiv.org/abs/2203.00252

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zbMATH Keywords

first-order proximal splitting algorithm

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Bregman divergence

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Interior Gradient and Proximal Methods for Convex and Conic Optimization

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A Descent Lemma Beyond Lipschitz Gradient Continuity: First-Order Methods Revisited and Applications

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First-Order Methods in Optimization

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First Order Methods Beyond Convexity and Lipschitz Gradient Continuity with Applications to Quadratic Inverse Problems

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A first-order primal-dual algorithm for convex problems with applications to imaging

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An introduction to continuous optimization for imaging

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On the ergodic convergence rates of a first-order primal-dual algorithm

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Entropic Proximal Operators for Nonnegative Trigonometric Polynomials

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Convergence Analysis of a Proximal-Like Minimization Algorithm Using Bregman Functions

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A primal–dual fixed point algorithm for convex separable minimization with applications to image restoration

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Entropic regularization of continuous optimal transport problems

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Proximal Splitting Methods in Signal Processing

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A primal-dual splitting method for convex optimization involving Lipschitzian, proximable and linear composite terms

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CVXPY: A Python-Embedded Modeling Language for Convex Optimization

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A simple algorithm for a class of nonsmooth convex-concave saddle-point problems

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Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming

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On the Douglas-Rachford splitting method and the proximal point algorithm for maximal monotone operators

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A General Framework for a Class of First Order Primal-Dual Algorithms for Convex Optimization in Imaging Science

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Convergence Analysis of Primal-Dual Algorithms for a Saddle-Point Problem: From Contraction Perspective

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Solving Large-Scale Optimization Problems with a Convergence Rate Independent of Grid Size

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Bregman primal-dual first-order method and application to sparse semidefinite programming

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Splitting Algorithms for the Sum of Two Nonlinear Operators

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Acceleration of primal-dual methods by preconditioning and simple subproblem procedures

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On a generalization of the iterative soft-thresholding algorithm for the case of non-separable penalty

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Relatively Smooth Convex Optimization by First-Order Methods, and Applications

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A First-Order Primal-Dual Algorithm with Linesearch

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Proximité et dualité dans un espace hilbertien

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Lectures on convex optimization

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On the equivalence of the primal-dual hybrid gradient method and Douglas-Rachford splitting

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Convex Analysis

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Dualize, split, randomize: toward fast nonsmooth optimization algorithms

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An Inexact Hybrid Generalized Proximal Point Algorithm and Some New Results on the Theory of Bregman Functions

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A simplified view of first order methods for optimization

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A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings

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A splitting algorithm for dual monotone inclusions involving cocoercive operators

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A new primal-dual algorithm for minimizing the sum of three functions with a linear operator

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A Primal-Dual Algorithm with Line Search for General Convex-Concave Saddle Point Problems

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Proportional-integral projected gradient method for conic optimization

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Identifiers

10.1007/s10957-022-02125-9

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:2696977

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