Computable Analysis: An Introduction

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Is the exponential function computable? Are union and intersection of closed subsets of the real plane computable? Are differentiation and integration computable operators? Is zero finding for complex polynomials computable? Is the Mandelbrot set decidable? And in case of computability, what is the computational complexity? Computable analysis supplies exact definitions for these and many other similar questions and tries to solve them. - Merging fundamental concepts of analysis and recursion theory to a new exciting theory, this book provides a solid basis for studying various aspects of computability and complexity in analysis. It is the result of an introductory course given for several years and is written in a style suitable for graduate-level and senior students in computer science and mathematics. Many examples illustrate the new concepts while numerous exercises of varying difficulty extend the material and stimulate readers to work actively on the text.

Author(s): Klaus Weihrauch
Series: Texts in Theoretical Computer Science. An EATCS Series
Publisher: Springer
Year: 2000

Language: English
Pages: 292
Tags: Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Analysis; Mathematical Logic and Formal Languages; Mathematics of Computing; Mathematical Logic and Foundations

Front Matter....Pages I-X
Introduction....Pages 1-12
2. Computability on the Cantor Space....Pages 13-49
3. Naming Systems....Pages 51-84
4. Computability on the Real Numbers....Pages 85-122
5. Computability on Closed, Open and Compact Sets....Pages 123-152
6. Spaces of Continuous Functions....Pages 153-194
7. Computational Complexity....Pages 195-235
8. Some Extensions....Pages 237-248
9. Other Approaches to Computable Analysis....Pages 249-268
Back Matter....Pages 269-285