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Book Categories |
| 1 | Markov and semi-Markov processes | 1 |
| 2 | Stochastic systems with switching | 35 |
| 3 | Stochastic systems in the series scheme | 67 |
| 4 | Stochastic systems with split and merging | 103 |
| 5 | Phase merging principles | 139 |
| 6 | Weak convergence | 193 |
| 7 | Poisson approximation | 219 |
| 8 | Applications I | 243 |
| 9 | Applications II | 269 |
| App. A | Weak convergence of probability measures | 301 |
| App. B | Some limit theorems for stochastic processes | 305 |
| App. C | Some auxiliary results | 311 |
| Price | Condition | Delivery | Seller | Action |
| $100.00 | Digital |
| WonderClub |
Patricia Elerick
reviewed Stochastic Systems in Merging Phase Space on September 10, 2018
Stochastic Systems in Merging Phase Space
If you read this book as first time in order to understand Computational Complexity, then you're probably not going to like it. You need to read Sipser's textbook before you read this book and make sure that you have a strong background in discrete mathematics (if not, then see Rosen's textbook in Discrete Mathematics). This book is recommended by best people in complexity and algorithms such as Scott Aaronson, Sipser, etc. You need to solve as many exercises as you go.
The book has five parts:
Part I: Algorithms
Part II: Logic
Part III: P and NP
Part IV: Inside P
Part V: Beyond NP
The most important parts are in Part I, III.
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