The Douglas–Rachford algorithm for convex and nonconvex feasibility problems-Reference-Cited by-同舟云学术

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The Douglas–Rachford algorithm for convex and nonconvex feasibility problems

Published:2019-11-26 Issue:2 Volume:91 Page:201-240
ISSN:1432-2994
Container-title:Mathematical Methods of Operations Research
language:en
Short-container-title:Math Meth Oper Res

Author:

Aragón Artacho Francisco J.^ORCID,Campoy Rubén,Tam Matthew K.

Funder

Ministerio de Economía, Industria y Competitividad, Gobierno de España

Ministerio de Ciencia, Innovación y Universidades

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Mathematics,Software

Link

http://link.springer.com/content/pdf/10.1007/s00186-019-00691-9.pdf

Reference68 articles.

1. Alwadani S, Bauschke HH, Moursi WM, Wang X (2018) On the asymptotic behaviour of the Aragón Artacho-Campoy algorithm. Oper Res Lett 46(6):585–587

2. Aragón Artacho FJ, Borwein JM (2013) Global convergence of a non-convex Douglas–Rachford iteration. J Glob Optim 57(3):753–769

3. Aragón Artacho FJ, Campoy R (2018a) A new projection method for finding the closest point in the intersection of convex sets. Comput Optim Appl 69(1):99–132

4. Aragón Artacho FJ, Campoy R (2018b) Solving graph coloring problems with the Douglas–Rachford algorithm. Set-Valued Var Anal 26(2):277–304

5. Aragón Artacho FJ, Borwein JM, Tam MK (2014a) Douglas–Rachford feasibility methods for matrix completion problems. ANZIAM J 55(4):299–326

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