Survey: sixty years of Douglas–Rachford
SB Lindstrom, B Sims - Journal of the Australian Mathematical …, 2021 - cambridge.org
The Douglas–Rachford method is a splitting method frequently employed for finding zeros of
sums of maximally monotone operators. When the operators in question are normal cone …
sums of maximally monotone operators. When the operators in question are normal cone …
Computable centering methods for spiraling algorithms and their duals, with motivations from the theory of Lyapunov functions
SB Lindstrom - Computational Optimization and Applications, 2022 - Springer
For many problems, some of which are reviewed in the paper, popular algorithms like
Douglas–Rachford (DR), ADMM, and FISTA produce approximating sequences that show …
Douglas–Rachford (DR), ADMM, and FISTA produce approximating sequences that show …
New results related to cutters and to an extrapolated block-iterative method for finding a common fixed point of a collection of them
Y Censor, D Reem, M Zaknoon - arXiv preprint arXiv:2410.20448, 2024 - arxiv.org
Given a Hilbert space and a finite family of operators defined on the space, the common
fixed point problem (CFPP) is the problem of finding a point in the intersection of the fixed …
fixed point problem (CFPP) is the problem of finding a point in the intersection of the fixed …
Approximate Douglas–Rachford algorithm for two-sets convex feasibility problems
In this paper, we propose a new algorithm combining the Douglas–Rachford (DR) algorithm
and the Frank–Wolfe algorithm, also known as the conditional gradient (CondG) method, for …
and the Frank–Wolfe algorithm, also known as the conditional gradient (CondG) method, for …
The Art of Modern Homo Habilis Mathematicus, or: What Would Jon Borwein Do?
SB Lindstrom - Handbook of the Mathematics of the Arts and Sciences, 2021 - Springer
Jonathan Borwein was a founder and early champion of the field of experimental
mathematics. His high-profile accomplishments and extensive writing on the role of …
mathematics. His high-profile accomplishments and extensive writing on the role of …
Alternating conditional gradient method for convex feasibility problems
The classical convex feasibility problem in a finite dimensional Euclidean space consists of
finding a point in the intersection of two convex sets. In the present paper we are interested …
finding a point in the intersection of two convex sets. In the present paper we are interested …
NEW RESULTS RELATED TO CUTTERS AND TO AN EXTRAPOLATED BLOCK-ITERATIVE METHOD FOR FINDING A COMMON FIXED POINT OF A COLLECTION …
D REEM, M ZAKNOON - authorea.com
Given a Hilbert space and a finite family of operators defined on the space, the common
fixed point problem (CFPP) is the problem of finding a point in the intersection of the fixed …
fixed point problem (CFPP) is the problem of finding a point in the intersection of the fixed …
The projected polar proximal point algorithm converges globally
SB Lindstrom - Journal of Global Optimization, 2022 - Springer
Friedlander, Macêdo, and Pong recently introduced the projected polar proximal point
algorithm (P4A) for solving optimization problems by using the closed perspective …
algorithm (P4A) for solving optimization problems by using the closed perspective …