In this paper we present two Douglas–Rachford inspired iteration schemes which can be applied directly to N-set convex feasibility problems in Hilbert space. Our main results are weak convergence of the methods to a point whose nearest point projections onto each of the N sets coincide. For affine subspaces, convergence is in norm. Initial results from numerical experiments, comparing our methods to the classical (product-space) Douglas–Rachford scheme, are promising.
Abstract. We discuss the Douglas–Rachford algorithm to solve the feasibility problem for two closed ...
AbstractThe weak and strong convergence of a sequence generated by a Mann-type iteration are investi...
The purpose of this note is to present an explicit iteration method that converges strongly for solv...
In this paper, we present two Douglas–Rachford inspired iteration schemes which can be applied direc...
The Douglas–Rachford (DR) algorithm is an iterative procedure that uses sequential reflections onto ...
Abstract. We analyse the behaviour of the newly introduced cyclic Douglas–Rachford algorithm for fin...
The Douglas–Rachford algorithm is a simple yet effective method for solving convex feasibility probl...
The Douglas–Rachford algorithm is a classical and very successful method for solving optimization an...
The Douglas–Rachford algorithm is a classical and very successful method for solving optimization an...
The Douglas–Rachford iteration scheme, introduced half a century ago in connection with nonlinear he...
The Douglas–Rachford algorithm is an optimization method that can be used for solving feasibility pr...
International audienceWe discuss the Douglas–Rachford algorithm to solve the feasibility problem for...
This paper proposes an algorithm for solving structured optimization problems, which covers both the...
<p>This paper proposes an algorithm for solving structured optimization problems, which covers both ...
Recent positive experiences applying convex feasibility algorithms of Douglas–Rachford type to highl...
Abstract. We discuss the Douglas–Rachford algorithm to solve the feasibility problem for two closed ...
AbstractThe weak and strong convergence of a sequence generated by a Mann-type iteration are investi...
The purpose of this note is to present an explicit iteration method that converges strongly for solv...
In this paper, we present two Douglas–Rachford inspired iteration schemes which can be applied direc...
The Douglas–Rachford (DR) algorithm is an iterative procedure that uses sequential reflections onto ...
Abstract. We analyse the behaviour of the newly introduced cyclic Douglas–Rachford algorithm for fin...
The Douglas–Rachford algorithm is a simple yet effective method for solving convex feasibility probl...
The Douglas–Rachford algorithm is a classical and very successful method for solving optimization an...
The Douglas–Rachford algorithm is a classical and very successful method for solving optimization an...
The Douglas–Rachford iteration scheme, introduced half a century ago in connection with nonlinear he...
The Douglas–Rachford algorithm is an optimization method that can be used for solving feasibility pr...
International audienceWe discuss the Douglas–Rachford algorithm to solve the feasibility problem for...
This paper proposes an algorithm for solving structured optimization problems, which covers both the...
<p>This paper proposes an algorithm for solving structured optimization problems, which covers both ...
Recent positive experiences applying convex feasibility algorithms of Douglas–Rachford type to highl...
Abstract. We discuss the Douglas–Rachford algorithm to solve the feasibility problem for two closed ...
AbstractThe weak and strong convergence of a sequence generated by a Mann-type iteration are investi...
The purpose of this note is to present an explicit iteration method that converges strongly for solv...