An Inertial Algorithm for DC Programming-Reference-Cited by-同舟云学术

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An Inertial Algorithm for DC Programming

Published:2018-10-25 Issue:4 Volume:27 Page:895-919
ISSN:1877-0533
Container-title:Set-Valued and Variational Analysis
language:en
Short-container-title:Set-Valued Var. Anal

Author:

de Oliveira Welington,Tcheou Michel P.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Geometry and Topology,Numerical Analysis,Statistics and Probability,Analysis

Link

http://link.springer.com/content/pdf/10.1007/s11228-018-0497-0.pdf

Reference44 articles.

1. Afonso, M.V., Bioucas-Dias, J.M., Figueiredo, M.A.T.: Fast image recovery using variable splitting and constrained optimization. IEEE Trans. Image Process. 19 (9), 2345–2356 (2010)

2. Alvarez, F.: Weak convergence of a relaxed and inertial hybrid projection-proximal point algorithm for maximal monotone operators in hilbert space. SIAM J. Optim. 14 (3), 773–782 (2004)

3. Alvarez, F., Attouch, H.: An inertial proximal method for maximal monotone operators via discretization of a nonlinear oscillator with damping. Set-Val. Anal. 9(1), 3–11 (2001)

4. An, L.T.H., Tao, P.D.: The DC (difference of convex functions) programming and DCA revisited with DC models of real world nonconvex optimization problems. Ann. Oper. Res. 133(1), 23–46 (2005)

5. Bagirov, A.M., Yearwood, J.: A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems. Eur. J. Oper. Res. 170(2), 578–596 (2006)

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