Logic and Complexity

Richard Lassaigne

ISBN 10: 1852335653 / ISBN 13: 9781852335656

Published by Springer London Jan 2004, 2004

About this Item

Neuware - 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.

Seller Inventory # 9781852335656

Bibliographic Details

• Title: Logic and Complexity
• Publisher: Springer London Jan 2004
• Publication Date: 2004
• Language: English
• ISBN 10: 1852335653
• ISBN 13: 9781852335656
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 165H x 22D millimeters 250 millimeters width by 165 millimeters height by 22 millimeters depth
• Weight: 644 grams

About this title

Synopsis

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.