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Ming-Yang (Hrsg.) Kao

Encyclopedia of Algorithms

Ebook (PDF Format)

This dynamic reference work provides solutions to vital algorithmic problems for scholars, researchers, practitioners, teachers and students in fields such as computer science, mathematics, statistics, biology, economics, financial software, and medical informatics. This second edition is broadly expanded, building upon the success of its former edition with more than 450 new and updated entries. These entries are designed to ensure algorithms are presented from growing areas of research such as bioinformatics, combinatorial group testing, differential privacy, enumeration algorithms, game theory, massive data algorithms, modern learning theo… Mehr

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Produktdetails


  • ISBN: 978-1-4939-2864-4
  • EAN: 9781493928644
  • Produktnummer: 20730525
  • Verlag: Springer-Verlag GmbH
  • Sprache: Englisch
  • Erscheinungsjahr: 2016
  • Seitenangabe: 2389 S.
  • Plattform: PDF
  • Auflage: 2nd ed. 2016
  • Abbildungen: 263 schwarz-weiße und 116 farbige Abbildungen, Bibliographie

Über den Autor


Ming-Yang Kao is Professor of Computer Science at the Northwestern University, Evanston. He got a B.S. in Mathematics, 1978 at the National Taiwan University, Republic of China (Taiwan) and his Ph.D. in Computer Science, 1986, at Yale University, USA.Prof. Kao studies the design, analysis and implementation of algorithms. His work spans a broad range of applications including bioinformatics, computational finance, electronic commerce, and nanotechnology. Kao's most recent research includes work on DNA self-assembly, variants of the traveling salesman problem, and graph labeling problems.Kao heads the EECS Computing, Algorithms & Applications Division and is the editor-in-chief of Algorithmica.

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