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Applied Probability
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Basic Notions of Probability Theory
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Chapter 2
Calculation of Expectations
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Chapter 3
Convexity, Optimization, and Inequalities
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Chapter 4
Combinatorics
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Chapter 5
Combinatorial Optimization
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Chapter 6
Poisson Processes
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Chapter 7
Discrete-Time Markov Chains
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Chapter 8
Continuous-Time Markov Chains
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Chapter 9
Branching Processes
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Chapter 10
Martingales
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Chapter 11
Diffusion Processes
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Chapter 12
Asymptotic Methods
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Chapter 13
Numerical Methods
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Chapter 14
Poisson Approximation
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Chapter 15
Number Theory
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Chapter 16
Appendix: Mathematical Review
Overall attention for this book and its chapters
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Mentioned by
syllabi
2
institutions with syllabi
Citations
dimensions_citation
57
Dimensions
Readers on
mendeley
134
Mendeley
Book overview
1. Basic Notions of Probability Theory
2. Calculation of Expectations
3. Convexity, Optimization, and Inequalities
4. Combinatorics
5. Combinatorial Optimization
6. Poisson Processes
7. Discrete-Time Markov Chains
8. Continuous-Time Markov Chains
9. Branching Processes
10. Martingales
11. Diffusion Processes
12. Asymptotic Methods
13. Numerical Methods
14. Poisson Approximation
15. Number Theory
16. Appendix: Mathematical Review
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
2
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Washington-Seattle Campus
1
Unknown
Unknown
1
Unknown