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Book Categories |
| Preface | ||
| 1 | Introduction to estimation and filtering theory | 1 |
| 2 | Optimal filtering of stochastic processes in the context of the Wiener - Kolmogorov theory | 111 |
| 3 | Abstract optimal filtering theory | 213 |
| 4 | Nonlinear filtering of time series | 297 |
| References | 349 | |
| Notation | 367 | |
| Index | 372 |
| Price | Condition | Delivery | Seller | Action |
| $214.00 | Digital |
| WonderClub |
Robert Hill
reviewed Optimal Filtering, Vol. 2 on February 22, 2017
Optimal Filtering
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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