A new alternating direction method for linearly constrained nonconvex optimization problems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Management Science and Operations Research,Control and Optimization,Computer Science Applications
Link
http://link.springer.com/content/pdf/10.1007/s10898-015-0268-5.pdf
Reference33 articles.
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3. Attouch, H., Bolte, J., Svaiter, B.F.: Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized Gauss-Seidel methods. Math. Program. 137, 91–129 (2013)
4. Auslender, A.: Asymptotic properties of the Fenchel dual functional and applications to decomposition problems. J. Optim. Theory Appl. 73, 427–449 (1992)
5. Auslender, A., Teboulle, M., Ben-Tiba, S.: Coupling the logarithmic-quadratic proximal method and the block nonlinear Gauss–Seidel algorithm for linearly constrained convex minimization. In: Thera, M., Tichastschke, R. (eds.) Lecture Notes in Economics and Mathematical Systems, vol. 477, pp. 35–47 (1998)
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