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| Preface | 1 | |
| Non-standard approaches to integer programming | 5 | |
| A survey of very large-scale neighborhood search techniques | 75 | |
| Maximum mean weight cycle in a digraph and minimizing cycle time of a logic chip | 103 | |
| Lift-and-project for Mixed 0-1 programming: recent progress | 129 | |
| Pseudo-Boolean optimisation | 155 | |
| Scheduling and constraint propagation | 227 | |
| Selected topics on assignment problems | 257 | |
| Ideal clutters | 303 | |
| Production planning problems in printed circuit board assembly | 339 | |
| Discrete location problems with push-pull objectives | 363 | |
| Recent advances on two-dimensional bin packing problems | 379 | |
| Cutting planes in integer and mixed integer programming | 397 | |
| Graph connectivity and its augmentation: applications of MA orderings | 447 | |
| Applications of combinatorics to statics - ridigity of grids | 473 | |
| Models, relaxations and exact approaches for the capacitated vehicle routing problem | 487 | |
| Semidefinite programming for discrete optimization and matrix completion problems | 513 | |
| Author index | 579 |
| Price | Condition | Delivery | Seller | Action |
| $103.94 | Digital |
| WonderClub |
Alice Zhang
reviewed Discrete Optimization: The State of the Art on February 22, 2017
Discrete 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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Add Discrete Optimization: The State of the Art, One of the most frequently occurring types of optimization problems involves decision variables which have to take integer values. From a practical point of view, such problems occur in countless areas of management, engineering, administration, etc., and, Discrete Optimization: The State of the Art to the inventory that you are selling on WonderClubX
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Add Discrete Optimization: The State of the Art, One of the most frequently occurring types of optimization problems involves decision variables which have to take integer values. From a practical point of view, such problems occur in countless areas of management, engineering, administration, etc., and, Discrete Optimization: The State of the Art to your collection on WonderClub |
