Constrained global optimization : algorithms and applications
Global optimization is concerned with the characterization and computation of global minima or maxima of nonlinear functions. Such problems are widespread in mathematical modeling of real world systems for a very broad range of applications. The applications include economies of scale, fixed charges...
Na minha lista:
| Auteurs principaux: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Colecção: | Lecture notes in computer science
268 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Constrained global optimization, algorithms and applications, P.M. Pardalos, J.B. Rosen, Berlin, Springer-Verlag, 1987, 1 volume (VII-143 pages), Lecture notes in computer science, 0-387-18095-8 • Constrained Global Optimization: Algorithms and Applications, Texte imprimé, 9783662184875 |
Sumário:
- Convex sets and functions
- Optimality conditions in nonlinear programming
- Combinatorial optimization problems that can be formulated as nonconvex quadratic problems
- Enumerative methods in nonconvex programming
- Cutting plane methods
- Branch and bound methods
- Bilinear programming methods for nonconvex quadratic problems
- Large scale problems
- Global minimization of indefinite quadratic problems
- Test problems for global nonconvex quadratic programming algorithms.