Logic and Complexity
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Beschreibung
Logic and Complexity looks at basic logic as it is used in Computer Science, and provides students with a logical approach to Complexity theory. With plenty of exercises, this book presents classical notions of mathematical logic, such as decidability, completeness and incompleteness, as well as new ideas brought by complexity theory such as NP-completeness, randomness and approximations, providing a better understanding for efficient algorithmic solutions to problems.
Divided into three parts, it covers:
- Model Theory and Recursive Functions - introducing the basic model theory of propositional, 1st order, inductive definitions and 2nd order logic. Recursive functions, Turing computability and decidability are also examined.
- Descriptive Complexity - looking at the relationship between definitions of problems, queries, properties of programs and their computational complexity.
- Approximation - explaining how some optimization problems and counting problems can be approximated according to their logical form.
Logic is important in Computer Science, particularly for verification problems and database query languages such as SQL. Students and researchers in this field will find this book of great interest.
Includes exercises at end of each chapter Authors website will be maintained for corrections, exercises, remarks and updates Describes a logical approach to complexity theory, for computer scientists Presents new material, close to the current research Unifies with a common notation many areas of theoretical computer science Includes supplementary material: sn.pub/extras
Logic and Complexity introduces some of the fundamental ideas of Logic for Computer Science, by explaining the classical notions of mathematical logic, alongside new ideas brought by complexity theory.
Autor*in
Richard Lassaigne
Themen in »Logic and Complexity«
Computer SQL algorithm algorithms complexity complexity theory computer science database logic mathematical logic model theory optimization verification