On the convergence of the coordinate descent method for convex differentiable minimization-Reference-Cited by-同舟云学术

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On the convergence of the coordinate descent method for convex differentiable minimization

Published:1992-01 Issue:1 Volume:72 Page:7-35
ISSN:0022-3239
Container-title:Journal of Optimization Theory and Applications
language:en
Short-container-title:J Optim Theory Appl

Author:

Luo Z. Q.,Tseng P.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

http://link.springer.com/content/pdf/10.1007/BF00939948.pdf

Reference56 articles.

1. Mangasarian, O. L.,Sparsity-Preserving SOR Algorithms for Separable Quadratic and Linear Programming, Computers and Operations Research, Vol. 11, pp. 105?112, 1984.

2. Mangasarian, O. L., andDe Leone, R.,Parallel Gradient Projection Successive Overrelaxation for Symmetric Linear Complementarity Problems and Linear Programs, Annals of Operations Research, Vol. 14, pp. 41?59, 1988.

3. Herman, G. T., andLent, A.,A Family of Iterative Quadratic Optimization Algorithms for Pairs of Inequalities, with Application in Diagnostic Radiology, Mathematical Programming Study, Vol. 9, pp. 15?29, 1978.

4. Cottle, R. W., andGoheen, M. S.,A Special Class of Large Quadratic Programs, Nonlinear Programming 3, Edited by O. L. Mangasarian, R. R. Meyer, and S. M. Robinson, Academic Press, New York, New York, pp. 361?390, 1978.

5. Cottle, R. W., Golub, G. H., andSacher, R. S.,On the Solution of Large, Structured Linear Complementarity Problems: The Block-Partitioned Case, Applied Mathematics and Optimization, Vol. 4, pp. 347?363, 1978.

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