Stochastic Learning and Optimization A Sensitivity-Based Approach /

Stochastic learning and optimization is a multidisciplinary subject that has wide applications in modern engineering, social, and financial problems, including those in Internet and wireless communications, manufacturing, robotics, logistics, biomedical systems, and investment science. This book is...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Cao, Xi-Ren (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Temas:
Computer science-Mathematics.
Discrete mathematics.
Engineering design.
Control engineering.
Artificial intelligence.
Mathematical optimization.
Calculus of variations.
Probabilities.
Discrete Mathematics in Computer Science.
Engineering Design.
Control and Systems Theory.
Artificial Intelligence.
Calculus of Variations and Optimization.
Probability Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Four Disciplines in Learning and Optimization
  • Perturbation Analysis
  • Learning and Optimization with Perturbation Analysis
  • Markov Decision Processes
  • Sample-Path-Based Policy Iteration
  • Reinforcement Learning
  • Adaptive Control Problems as MDPs
  • The Event-Based Optimization - A New Approach
  • Event-Based Optimization of Markov Systems
  • Constructing Sensitivity Formulas.

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