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Book Categories |
| Lattice basis reduction in optimization : selected topics | 1 | |
| Polyhedral methods in discrete optimization | 21 | |
| Graphs and combinatorial optimization | 39 | |
| Integer programming duality | 67 | |
| The design and analysis of approximation algorithms : facility location as a case study | 85 | |
| Algebraic recipes for integer programming | 99 | |
| Nonlinear and semidefinite programming | 115 |
| Price | Condition | Delivery | Seller | Action |
| $99.99 | Digital |
| WonderClub |
Michael Nguyen
reviewed Trends in Optimization: American Mathematical Society Short Course, January 5-6 2004, Phoenix, Arizona on August 30, 2014
Trends in Optimization
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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