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(Ebook) A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis by Anne Benoit (Author); Yves Robert (Author); Frédéric Vivien (Author) ISBN 9780429428890, 9780429644115, 9781439825648, 9781439898130, 9781466533875, 0429428898, 0429644116, 1439825645, 1439898138

  • SKU: EBN-11966908
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Instant download (eBook) A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis after payment.
Authors:Anne Benoit (Author); Yves Robert (Author); Frédéric Vivien (Author)
Pages:0 pages.
Year:2013
Editon:1
Publisher:CRC Press
Language:english
File Size:3.65 MB
Format:pdf
ISBNS:9780429428890, 9780429644115, 9781439825648, 9781439898130, 9781466533875, 0429428898, 0429644116, 1439825645, 1439898138
Categories: Ebooks

Product desciption

(Ebook) A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis by Anne Benoit (Author); Yves Robert (Author); Frédéric Vivien (Author) ISBN 9780429428890, 9780429644115, 9781439825648, 9781439898130, 9781466533875, 0429428898, 0429644116, 1439825645, 1439898138

Presenting a complementary perspective to standard books on algorithms, A Guide to Algorithm Design: Paradigms, Methods, and Complexity Analysis provides a roadmap for readers to determine the difficulty of an algorithmic problem by finding an optimal solution or proving complexity results. It gives a practical treatment of algorithmic complexity and guides readers in solving algorithmic problems.

Divided into three parts, the book offers a comprehensive set of problems with solutions as well as in-depth case studies that demonstrate how to assess the complexity of a new problem.

  • Part I helps readers understand the main design principles and design efficient algorithms.
  • Part II covers polynomial reductions from NP-complete problems and approaches that go beyond NP-completeness.
  • Part III supplies readers with tools and techniques to evaluate problem complexity, including how to determine which instances are polynomial and which are NP-hard.

Drawing on the authors’ classroom-tested material, this text takes readers step by step through the concepts and methods for analyzing algorithmic complexity. Through many problems and detailed examples, readers can investigate polynomial-time algorithms and NP-completeness and beyond.

*Free conversion of into popular formats such as PDF, DOCX, DOC, AZW, EPUB, and MOBI after payment.

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