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Stochastic Recursive Algorithms for Optimization Simultaneous Perturbation Methods /
Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2013.
|
| Edición: | 1st ed. 2013. |
| Colección: | Lecture Notes in Control and Information Sciences,
434 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Part I: Introduction to Stochastic Recursive Algorithms
- Introduction
- Deterministic Algorithms for Local Search
- Stochastic Approximation Algorithms
- Part II: Gradient Estimation Schemes
- Kiefer-Wolfowitz Algorithm
- Gradient Schemes with Simultaneous Perturbation Stochastic Approximation
- Smoothed Functional Gradient Schemes
- Part III: Hessian Estimation Schemes
- Hessian Estimation with Simultaneous Perturbation Stochasti Approximation
- Smoothed Functional Hessian Schemes
- Part IV: Variations to the Basic Scheme
- Discrete Optimization
- Algorithms for Contrained Optimization
- Reinforcement Learning
- Part V: Applications
- Service Systems
- Road Traffic Control
- Communication Networks.