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Efficient Checking of Polynomials and Proofs and the Hardness of Appoximation Problems [electronic resource] / edited by Madhu Sudan.

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 1001Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1995Description: XIV, 94 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540484851
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 005.1 23
LOC classification:
  • QA76.9.A43
Online resources:
Contents:
On the resilience of polynomials -- Low-degree tests -- Transparent proofs and the class PCP -- Hardness of approximations -- Conclusions.
In: Springer eBooksSummary: This book is based on the author's PhD thesis which was selected as the winning thesis of the 1993 ACM Doctoral Dissertation Competition. The author improved the presentation and included the progress achieved since the thesis was approved by the University of California at Berkeley. This work is a fascinating piece of theoretical computer science research building on deep results from different areas. It provides new theoretical insights and advances applicable techniques in such different areas as computational complexity, efficient (randomized) checking of proofs, programs and polynomials, approximation algorithms, NP-complete optimization, and error-detection and error-correction algorithms in coding theory.
Item type: E-BOOKS
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IMSc Library Link to resource Available EBK6497

On the resilience of polynomials -- Low-degree tests -- Transparent proofs and the class PCP -- Hardness of approximations -- Conclusions.

This book is based on the author's PhD thesis which was selected as the winning thesis of the 1993 ACM Doctoral Dissertation Competition. The author improved the presentation and included the progress achieved since the thesis was approved by the University of California at Berkeley. This work is a fascinating piece of theoretical computer science research building on deep results from different areas. It provides new theoretical insights and advances applicable techniques in such different areas as computational complexity, efficient (randomized) checking of proofs, programs and polynomials, approximation algorithms, NP-complete optimization, and error-detection and error-correction algorithms in coding theory.

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The Institute of Mathematical Sciences, Chennai, India