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Lagrange-type Functions in Constrained Non-Convex Optimization - Applied Optimization Alexander M. Rubinov 2003 edition
Lagrange-type Functions in Constrained Non-Convex Optimization - Applied Optimization
Alexander M. Rubinov
Thus the question arises how to generalize classical Lagrange and penalty functions, in order to obtain an appropriate scheme for reducing constrained optimiza tion problems to unconstrained ones that will be suitable for sufficiently broad classes of optimization problems from both the theoretical and computational viewpoints.
286 pages, biography
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 30 novembre 2003 |
| ISBN13 | 9781402076275 |
| Éditeurs | Springer-Verlag New York Inc. |
| Pages | 286 |
| Dimensions | 155 × 235 × 17 mm · 648 g |
| Langue et grammaire | Anglais |