<?xml version="1.0" encoding="UTF-8"?>
<metadata
  xmlns="http://example.org/myapp/"
  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://example.org/myapp/ http://example.org/myapp/schema.xsd"
  xmlns:dc="http://purl.org/dc/elements/1.1/"
  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>Theory of computational complexity / Ding-Zhu Du, Department of Computer Science, University of Texas at Dallas, Ann Arbor, MI, Ker-I Ko, Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY. [electronic resource]</dc:Title>
<dc:Creator>Du, Dingzhu, author.</dc:Creator>
<dc:Creator>Ko, Ker-I, author.</dc:Creator>
<dc:Subject>Computational complexity.</dc:Subject>
<dc:Subject>QA267.7</dc:Subject>
<dc:Subject>511.3/52 23</dc:Subject>
<dc:Description>Includes bibliographical references and index.</dc:Description>
<dc:Description>Print version record and CIP data provided by publisher.</dc:Description>
<dc:Description>Praise for the First Edition "" ... complete, up-to-date coverage of computational complexity theory ... the book promises to become the standard reference on computational complexity.""--Zentralblatt MATH A thorough revision based on advances in the field of computational complexity and readers' feedback, the Second Edition of Theory of Computational Complexity presents updates to the principles and applications essential to understanding modern computational complexity theory. The new edition continues to serve as a comprehensive resource on the use of.</dc:Description>
<dc:Date>2014</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource.</dc:Format>
<dc:Identifier>http://onlinelibrary.wiley.com/book/10.1002/9781118595091</dc:Identifier>
<dc:Language>eng</dc:Language>
<dc:Relation>Wiley-Interscience series in discrete mathematics and optimization</dc:Relation>
<dc:Relation>Wiley-Interscience series in discrete mathematics and optimization.</dc:Relation>
<dc:Relation>Theory of computational complexity.</dc:Relation>
<dc:Relation>Theory of computational complexity.</dc:Relation>

</metadata>