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Complexity of Infinite-Domain Constraint Satisfaction
About this book
Constraint Satisfaction Problems (CSPs) are natural computational problems that appear in many areas of theoretical computer science. Exploring which CSPs are solvable in polynomial time and which are NP-hard reveals a surprising link with central questions in universal algebra. This monograph presents a self-contained introduction to the universal-algebraic approach to complexity classification, treating both finite and infinite-domain CSPs. It includes the required background from logic and combinatorics, particularly model theory and Ramsey theory, and explains the recently discovered link between Ramsey theory and topological dynamics and its implications for CSPs. The book will be of interest to graduate students and researchers in theoretical computer science and to mathematicians in logic, combinatorics, and dynamics who wish to learn about the applications of their work in complexity theory.
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Information
Table of contents
- Cover
- Half-title
- Series information
- Title page
- Copyright information
- CONTENTS
- ACKNOWLEDGEMENTS
- Chapter 1 INTRODUCTION TO CONSTRAINT SATISFACTION PROBLEMS
- Chapter 2 MODEL THEORY
- Chapter 3 PRIMITIVE POSITIVE INTERPRETATIONS
- Chapter 4 COUNTABLY CATEGORICAL STRUCTURES
- Chapter 5 EXAMPLES
- Chapter 6 UNIVERSAL ALGEBRA
- Chapter 7 EQUALITY CONSTRAINT SATISFACTION PROBLEMS
- Chapter 8 DATALOG
- Chapter 9 TOPOLOGY
- Chapter 10 OLIGOMORPHIC CLONES
- Chapter 11 RAMSEY THEORY
- Chapter 12 TEMPORAL CONSTRAINT SATISFACTION PROBLEMS
- Chapter 13 NON-DICHOTOMIES
- Chapter 14 CONCLUSION AND OUTLOOK
- REFERENCES
- INDEX