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...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2007.
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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.