We propose a new approach for analyzing convergence of the Douglas-Rachford splitting method for solving convex composite optimization problems. The approach is based on a continuously differentiable function, the Douglas-Rachford Envelope (DRE), whose stationary points correspond to the solutions of the original (possibly nonsmooth) problem. The Douglas-Rachford splitting method is shown to be equivalent to a scaled gradient method on the DRE, and so results from smooth unconstrained optimization are employed to analyze its convergence and optimally choose parameter {\gamma} and to derive an accelerated variant of Douglas-Rachford splitting
Recently, several convergence rate results for Douglas-Rachford splitting and the alternating direct...
International audienceOver the past decades, operator splitting methods have become ubiquitous for n...
peer reviewedWe discuss recent positive experiences applying convex feasibility algorithms of Dougla...
We propose a new approach for analyzing convergence of the Douglas-Rachford splitting method for sol...
© 2014 IEEE. We propose a new approach for analyzing convergence of the Douglas-Rachford splitting m...
We consider applying the Douglas-Rachford splitting method (DRSM) to the convex minimization problem...
We adapt the Douglas–Rachford (DR) splitting method to solve nonconvex feasibility problems by study...
© 2017 Society for Industrial and Applied Mathematics. We consider the convergence of the Douglas-R...
© 2014 Society for Industrial and Applied Mathematics. In this paper, we focus on the application o...
Recently, several local and global linear convergence rate results for Douglas–Rachford splitting ha...
We discuss recent positive experiences applying convex feasibility algorithms of Douglas-Rachford ty...
International audienceIn this paper we provide a theoretical and numerical comparison of convergence...
International audienceWe propose a new first-order splitting algorithm for solving jointly the prima...
Recent positive experiences applying convex feasibility algorithms of Douglas-Rachford type to highl...
This paper proposes an algorithm for solving structured optimization problems, which covers both the...
Recently, several convergence rate results for Douglas-Rachford splitting and the alternating direct...
International audienceOver the past decades, operator splitting methods have become ubiquitous for n...
peer reviewedWe discuss recent positive experiences applying convex feasibility algorithms of Dougla...
We propose a new approach for analyzing convergence of the Douglas-Rachford splitting method for sol...
© 2014 IEEE. We propose a new approach for analyzing convergence of the Douglas-Rachford splitting m...
We consider applying the Douglas-Rachford splitting method (DRSM) to the convex minimization problem...
We adapt the Douglas–Rachford (DR) splitting method to solve nonconvex feasibility problems by study...
© 2017 Society for Industrial and Applied Mathematics. We consider the convergence of the Douglas-R...
© 2014 Society for Industrial and Applied Mathematics. In this paper, we focus on the application o...
Recently, several local and global linear convergence rate results for Douglas–Rachford splitting ha...
We discuss recent positive experiences applying convex feasibility algorithms of Douglas-Rachford ty...
International audienceIn this paper we provide a theoretical and numerical comparison of convergence...
International audienceWe propose a new first-order splitting algorithm for solving jointly the prima...
Recent positive experiences applying convex feasibility algorithms of Douglas-Rachford type to highl...
This paper proposes an algorithm for solving structured optimization problems, which covers both the...
Recently, several convergence rate results for Douglas-Rachford splitting and the alternating direct...
International audienceOver the past decades, operator splitting methods have become ubiquitous for n...
peer reviewedWe discuss recent positive experiences applying convex feasibility algorithms of Dougla...