Stochastic Simulation: Algorithms and Analysis

Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods, as well as accompanying...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Asmussen, Søren (Συγγραφέας), Glynn, Peter W. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2007.
Σειρά:Stochastic Modelling and Applied Probability, 57
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • General Methods and Algorithms
  • Generating Random Objects
  • Output Analysis
  • Steady-State Simulation
  • Variance-Reduction Methods
  • Rare-Event Simulation
  • Derivative Estimation
  • Stochastic Optimization
  • Algorithms for Special Models
  • Numerical Integration
  • Stochastic Di3erential Equations
  • Gaussian Processes
  • Lèvy Processes
  • Markov Chain Monte Carlo Methods
  • Selected Topics and Extended Examples
  • What This Book Is About
  • What This Book Is About.