SURVEY: SIXTY YEARS OF DOUGLAS–RACHFORD
By Scott B. Lindstrom, Brailey Sims. 2018
41 citations recorded by the source corpus.
Abstract 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 operators, the iterated process may be used to solve feasibility problems of the following form: Find $x\in \bigcap _{k=1}^{N}S_{k}$. The success of the method in the context of closed, convex, nonempty sets $S_{1},\ldots ,S_{N}$ is well known and understood from a theoretical standpoint. However, its performance in the nonconvex context is less well understood, yet it is surprisingly impressive. This was particularly compelling to Jonathan M. Borwein who, intrigued by Elser, Rankenburg and Thibault’s success in applying the method to solving sudoku puzzles, began an investigation of his own. We survey the current body of literature on the subject, and we summarize its history. We especially commemorate Professor Borwein’s celebrated contributions to the area.
Subfields: Applied Mathematics, Computational Theory and Mathematics, Electrical and Electronic Engineering
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In Applied Mathematics
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Citations in the corpus
- The Ideal Continual Learner: An Agent That Never Forgets (2023, methodology): “Classic methods include the alternating projection method of John von Neumann in 1933 for the case of two intersecting affine subspaces (as Lindstrom & Sims (2021) surveyed); the methods of Karczmarz (1937) and Cimmino (1938) for the case where Gt’s are finitely many affine hyperplanes (as…”