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  3. Relational Mathematics
  • Cited by 32
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    • Publisher:
      Cambridge University Press
      Publication date:
      May 2013
      November 2010
      ISBN:
      9780511778810
      9780521762687
      DOI:
      https://doi.org/10.1017/CBO9780511778810
      Dimensions:
      (234 x 156 mm)
      Weight & Pages:
      0.99kg, 582 Pages
      Dimensions:
      Weight & Pages:
      • Subjects:
      Mathematics (general), Mathematics, Logic, Categories and Sets, Computer Science, Programming Languages and Applied Logic
      Series:
      Encyclopedia of Mathematics and its Applications (132)
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    Subjects:
    Mathematics (general), Mathematics, Logic, Categories and Sets, Computer Science, Programming Languages and Applied Logic
    Series:
    Encyclopedia of Mathematics and its Applications (132)
    Information

    Book description

    Relational mathematics is to operations research and informatics what numerical mathematics is to engineering: it is intended to help modelling, reasoning, and computing. Its applications are therefore diverse, ranging from psychology, linguistics, decision aid, and ranking to machine learning and spatial reasoning. Although many developments have been made in recent years, they have rarely been shared amongst this broad community of researchers. This comprehensive 2010 overview begins with an easy introduction to the topic, assuming a minimum of prerequisites; but it is nevertheless theoretically sound and up to date. It is suitable for applied scientists, explaining all the necessary mathematics from scratch using a multitude of visualised examples, via matrices and graphs. It ends with tangible results on the research level. The author illustrates the theory and demonstrates practical tasks in operations research, social sciences and the humanities.

    Reviews

    'The author illustrates the mathematical theory and demonstrates practical tasks in operations research, social sciences and the humanities with graspable results at the research level. The multitude of examples is visualized using matrices and graphs. The book is suitable for applied scientists and the broad community of researchers in various fields who use relations in their scientific work.'

    Source: Zentralblatt MATH

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