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Computable Analysis: An Introduction
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Computable Analysis: An Introduction Hardcover - 2000

by Klaus Weihrauch


From the publisher

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.

First line

All over the world numerous computers are used for real number computation.

Details

  • Title Computable Analysis: An Introduction
  • Author Klaus Weihrauch
  • Binding Hardcover
  • Edition 1st
  • Pages 288
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2000-09-14
  • Illustrated Yes
  • Features Illustrated
  • ISBN 9783540668176 / 3540668179
  • Weight 1.33 lbs (0.60 kg)
  • Dimensions 9.21 x 6.14 x 0.69 in (23.39 x 15.60 x 1.75 cm)
  • Library of Congress Catalog Number 00056310
  • Dewey Decimal Code 515
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Computable Analysis: An Introduction (Texts in Theoretical Computer Science. An EATCS Series)
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Computable Analysis: An Introduction (Texts in Theoretical Computer Science. An EATCS Series)

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INTRODUCTION TO COMPUTABLE ANALYSIS
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INTRODUCTION TO COMPUTABLE ANALYSIS

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Computable Analysis: An Introduction (Texts in Theoretical Computer Science. An EATCS Series)
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Computable Analysis: An Introduction (Texts in Theoretical Computer Science. An EATCS Series)

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