Semi-Infinite Programming
Semi-infinite programming (briefly: SIP) is an exciting part of mathematical programming. SIP problems include finitely many variables and, in contrast to finite optimization problems, infinitely many inequality constraints. Prob lems of this type naturally arise in approximation theory, optimal co...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
1998, 1998
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| Edition: | 1st ed. 1998 |
| Series: | Nonconvex Optimization and Its Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 A Comprehensive Survey of Linear Semi-Infinite Optimization Theory
- 2 On Stability and Deformation in Semi-Infinite Optimization
- 3 Regularity and Stability in Nonlinear Semi-Infinite Optimization
- 4 First and Second Order Optimality Conditions and Perturbation Analysis of Semi-Infinite Programming Problems
- 5 Exact Penalty Function Methods for Nonlinear Semi-Infinite Programming
- 6 Feasible Sequential Quadratic Programming for Finely Discretized Problems from SIP
- 7 Numerical Methods for Semi-Infinite Programming: A Survey
- 8 Connections between Semi-Infinite and Semidefinite Programming
- 9 Reliability Testing and Semi-Infinite Linear Programming
- 10 Semi-Infinite Programming in Orthogonal Wavelet Filter Design
- 11 The Design of Nonrecursive Digital Filters via Convex Optimization
- 12 Semi-Infinite Programming in Control