Stochastic programming
Gardado en:
| Outros autores: | , , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin [etc.] :
Springer-Verlag : Springer e-books
[20..].
Cham : Springer Nature |
| Series: | Lecture notes in control and information sciences
76 |
| Sujets: | |
| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Actes d'une conférence tenue à Gargnano du 15 au 21 1983, d'après la préface Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Stochastic Programming, Texte imprimé, 9783540160441 • Stochastic Programming, Texte imprimé, 9783662186893 |
Table des matières:
- Minimal time detection of parameter change in a counting process
- Simulation for passage times in non-Markovian networks of queues
- Simulation uses of the exponential distribution
- A probabilistic analysis of Monte Carlo algorithms for a class of counting problems
- An algorithm for solving linear random differential and integral equations
- Growth versus security in a risky investment model
- Queue predictors for stochastic traffic flows control
- Iterative approximations for networks of queues
- Convergence theories of distributed iterative processes: A survey
- Stochastic integer programming: The distribution problem
- The duality between expected utility and penalty in stochastic linear programming
- A feasible solution to dynamic team problems with a common past and application to decentralized dynamic routing
- Stochastic construction of (q,M) problems
- Asymptotically stable solutions to stochastic optimization problems
- On integrated chance constraints
- Algorithms based upon generalized linear programming for stochastic programs with recourse
- On the use of nested decomposition for solving nonlinear multistage stochastic programs
- Contributions to the methodology of stochastic optimization
- A method of feasible directions for solving nonsmooth stochastic programming problems
- A probabilistic analysis of the set packing problem.