Probability and Computing: Randomized Algorithms and Probabilistic Analysis

Description

Assuming only an elementary background in discrete mathematics, this textbook is an excellent introduction to the probabilistic techniques and paradigms used in the development of probabilistic algorithms and analyses. It includes random sampling, expectations, Markov's and Chevyshev's inequalities, Chernoff bounds, balls and bins models, the probabilistic method, Markov chains, MCMC, martingales, entropy, and other topics. The book is designed to accompany a one- or two-semester course for graduate students in computer science and applied mathematics.



Thanks to original uploader

Disclaimer:
Contents of this page are indexed from this page for search purpose only. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Probability and Computing: Randomized Algorithms and Probabilistic Analysis" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 2706
2. Concentration of Measure for the Analysis of Randomized Algorithms
3. Randomized Algorithms for Analysis and Control of Uncertain Systems
4. Probabilistic Analysis of Packing and Partitioning Algorithms
5. Randomized Algorithms for Analysis and Control of Uncertain Systems (Communicati
6. Probabilistic and Randomized Methods for Design under Uncertainty
7. Probabilistic and Randomized Methods for Design under Uncertainty
8. Randomized Algorithms for Analysis and Control of Uncertain Systems (Communications and Control Engineering)
9. Design and Analysis of Randomized Algorithms: Introduction to Design Paradigms
10. Randomized Algorithms
11. Randomized Algorithms
12. Randomized Algorithms
13. Randomized Algorithms: Approximation, Generation and Counting
14. Randomized Algorithms: Approximation, Generation and Counting (Distinguished Dissertations)
15. An Introduction to Parallel Computing: Design and Analysis of Algorithms, Second Edition
16. Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability)