Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9507143 | Applied Mathematics and Computation | 2005 | 18 Pages |
Abstract
We describe a primal-dual application of the proximal point algorithm to nonconvex minimization problems. Motivated by the work of Spingarn and more recently by the work of Hamdi et al. about the primal resource-directive decomposition scheme to solve nonlinear separable problems. This paper discusses some local results of a primal-dual regularization approach that leads to a decomposition algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Abdelouahed Hamdi,