Nonlinear programming
 |
|
Описание:
This reprint of the 1969 book of the same name is a concise, rigorous, yet accessible, account of the fundamentals of constrained optimization theory. Many problems arising in diverse fields such as machine learning, medicine, chemical engineering, structural design, and airline scheduling can be reduced to a constrained optimization problem. This book provides readers with the fundamentals needed to study and solve such problems. Beginning with a chapter on linear inequalities and theorems of the alternative, basics of convex sets and separation theorems are then derived based on these theorems. This is followed by a chapter on convex functions that includes theorems of the alternative for such functions. These results are used in obtaining the saddlepoint optimality conditions of nonlinear programming without differentiability assumptions.Похожие книги
 | Augustin-Louis Cauchy Год: 2011 |
 | Regular variation Автор: N. H. Bingham Год: 1987 |
| Cyclic homology in non-commutative geometry Автор: Joachim Cuntz Год: 2004 |
| Random Walk in Random and Non-Random Environments Автор: Pal Revesz Год: 2005 |
| Strong Limit Theorems in Noncommutative L2-spaces Автор: Ryszard Jajte Год: 1991 |
| Origamics: mathematical explorations through paper folding Автор: Kazuo Haga Год: 2008 |