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Continuous-Time Markov Chains and Applications : A Singular Perturbation Approach
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Introduction and Overview
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Chapter 2
Mathematical Preliminaries
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Chapter 3
Markovian Models
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Chapter 4
Asymptotic Expansion: Irreducible Generators
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Chapter 5
Asymptotic Normality and Exponential Bounds
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Chapter 6
Asymptotic Expansion: Weak and Strong Interactions
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Chapter 7
Weak and Strong Interactions: Asymptotic Properties and Ramification
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Chapter 8
Markov Decision Problems
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Chapter 9
Stochastic Control of Dynamical Systems
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Chapter 10
Numerical Methods for Control and Optimization
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Mentioned by
syllabi
1
institution with syllabi
Citations
dimensions_citation
271
Dimensions
Readers on
mendeley
35
Mendeley
Book overview
1. Introduction and Overview
2. Mathematical Preliminaries
3. Markovian Models
4. Asymptotic Expansion: Irreducible Generators
5. Asymptotic Normality and Exponential Bounds
6. Asymptotic Expansion: Weak and Strong Interactions
7. Weak and Strong Interactions: Asymptotic Properties and Ramification
8. Markov Decision Problems
9. Stochastic Control of Dynamical Systems
10. Numerical Methods for Control and Optimization
Summary
Syllabi
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
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syllabus from an institution on Open Syllabus Project.
Institution
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Course subject areas covered
University of Houston
1
Unknown