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Lagrange-type Functions in Constrained Non-Convex Optimization - Applied Optimization Alexander M. Rubinov Softcover reprint of the original 1st ed. 2003 edition
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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.
300 pages, biography
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 22. november 2013 |
| ISBN13 | 9781461348214 |
| Utgivere | Springer-Verlag New York Inc. |
| Antall sider | 286 |
| Mål | 155 × 235 × 16 mm · 426 g |
| Språk | Engelsk |