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  3. Mathematical Modeling
  • Cited by 8
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    • Publisher:
      Cambridge University Press
      Publication date:
      05 June 2012
      01 October 2001
      ISBN:
      9780511626326
      9780521650076
      9780521011730
      DOI:
      https://doi.org/10.1017/CBO9780511626326
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.562kg, 316 Pages
      Dimensions:
      (228 x 152 mm)
      Weight & Pages:
      0.446kg, 316 Pages
      • Subjects:
      Mathematics, Engineering, Thermal-Fluids Engineering, Mathematical Modeling and Methods
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    • Selected: Digital
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    Subjects:
    Mathematics, Engineering, Thermal-Fluids Engineering, Mathematical Modeling and Methods
    Information

    Book description

    Industrial mathematics is growing enormously in popularity around the world. This book deals with real industrial problems from real industries. Presented as a series of case studies by some of the world's most active and successful industrial mathematicians, this volume shows clearly how the process of mathematical collaboration with industry can not only work successfully for the industrial partner, but also lead to interesting and important mathematics. The book begins with a brief introduction, where the equations that most of the studies are based upon are summarised. Thirteen different problems are then considered, ranging from cooking of cereal to the analysis of epidemic waves in animal populations. Throughout the work the emphasis is on telling industry what they really want to know. This book is suitable for all final year undergraduates, master's students, and Ph.D. students who are working on practical mathematical modeling.

    Reviews

    ‘This is a fascinating, even inspiring, book for the graduate mathematician.’

    A. H. Harker Source: Contemporary Physics

    '… this book is an excellent introduction to mathematical modelling, with a wealth of interesting case studies and lovely mathematics that will appeal to many of its target audience - final year undergraduates, Masters and PhD students working in 'practical' mathematical modelling.'

    Source: The Mathematical Gazette

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