Bi-Level Strategies in Semi-Infinite Programming by Oliver Stein.
Semi-infinite optimization is a vivid field of active research. Recently semi infinite optimization in a general form has attracted a lot of attention, not only because of its surprising structural aspects, but also due to the large number of applications which can be formulated as general semi-inf...
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer US : Imprint: Springer,
2003.
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| Edition: | 1st ed. 2003. |
| Series: | Nonconvex Optimization and Its Applications,
71 Springer eBook Collection. |
| Subjects: | |
| Online Access: | Click to view e-book |
| Holy Cross Note: | Loaded electronically. Electronic access restricted to members of the Holy Cross Community. |
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| 490 | 1 | |a Nonconvex Optimization and Its Applications, |x 1571-568X ; |v 71 | |
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| 520 | |a Semi-infinite optimization is a vivid field of active research. Recently semi infinite optimization in a general form has attracted a lot of attention, not only because of its surprising structural aspects, but also due to the large number of applications which can be formulated as general semi-infinite programs. The aim of this book is to highlight structural aspects of general semi-infinite programming, to formulate optimality conditions which take this structure into account, and to give a conceptually new solution method. In fact, under certain assumptions general semi-infinite programs can be solved efficiently when their bi-Ievel structure is exploited appropriately. After a brief introduction with some historical background in Chapter 1 we be gin our presentation by a motivation for the appearance of standard and general semi-infinite optimization problems in applications. Chapter 2 lists a number of problems from engineering and economics which give rise to semi-infinite models, including (reverse) Chebyshev approximation, minimax problems, ro bust optimization, design centering, defect minimization problems for operator equations, and disjunctive programming. | ||
| 590 | |a Loaded electronically. | ||
| 590 | |a Electronic access restricted to members of the Holy Cross Community. | ||
| 650 | 0 | |a Mathematical optimization. | |
| 650 | 0 | |a Calculus of variations. | |
| 650 | 0 | |a Computer mathematics. | |
| 650 | 0 | |a Convex geometry . | |
| 650 | 0 | |a Discrete geometry. | |
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