Description

Mathematical and Computational Modeling

Illustrates the application of mathematical and computational modeling in a variety of disciplines

With an emphasis on the interdisciplinary nature of mathematical and computational modeling, Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts features chapters written by well-known, international experts in these fields and presents readers with a host of state-of-theart achievements in the development of mathematical modeling and computational experiment methodology. The book is a valuable guide to the methods, ideas, and tools of applied and computational mathematics as they apply to other disciplines such as the natural and social sciences, engineering, and technology. The book also features:

  • Rigorous mathematical procedures and applications as the driving force behind mathematical innovation and discovery
  • Numerous examples from a wide range of disciplines to emphasize the multidisciplinary application and universality of applied mathematics and mathematical modeling
  • Original results on both fundamental theoretical and applied developments in diverse areas of human knowledge
  • Discussions that promote interdisciplinary interactions between mathematicians, scientists, and engineers

Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts is an ideal resource for professionals in various areas of mathematical and statistical sciences, modeling and simulation, physics, computer science, engineering, biology and chemistry, and industrial and computational engineering. The book also serves as an excellent textbook for graduate courses in mathematical modeling, applied mathematics, numerical methods, operations research, and optimization.

Mathematical and Computational Modeling: With Applications in Natural and Social Sciences, Engineering, and the Arts

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£86.95

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Usually despatched within 5 days
Hardback by Roderick Melnik

3 in stock

Short Description:

Mathematical and Computational Modeling Illustrates the application of mathematical and computational modeling in a variety of disciplines With an emphasis... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 23/06/2015
    ISBN13: 9781118853986, 978-1118853986
    ISBN10: 1118853989

    Number of Pages: 336

    Non Fiction , Mathematics & Science , Education

    Description

    Mathematical and Computational Modeling

    Illustrates the application of mathematical and computational modeling in a variety of disciplines

    With an emphasis on the interdisciplinary nature of mathematical and computational modeling, Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts features chapters written by well-known, international experts in these fields and presents readers with a host of state-of-theart achievements in the development of mathematical modeling and computational experiment methodology. The book is a valuable guide to the methods, ideas, and tools of applied and computational mathematics as they apply to other disciplines such as the natural and social sciences, engineering, and technology. The book also features:

    • Rigorous mathematical procedures and applications as the driving force behind mathematical innovation and discovery
    • Numerous examples from a wide range of disciplines to emphasize the multidisciplinary application and universality of applied mathematics and mathematical modeling
    • Original results on both fundamental theoretical and applied developments in diverse areas of human knowledge
    • Discussions that promote interdisciplinary interactions between mathematicians, scientists, and engineers

    Mathematical and Computational Modeling: With Applications in the Natural and Social Sciences, Engineering, and the Arts is an ideal resource for professionals in various areas of mathematical and statistical sciences, modeling and simulation, physics, computer science, engineering, biology and chemistry, and industrial and computational engineering. The book also serves as an excellent textbook for graduate courses in mathematical modeling, applied mathematics, numerical methods, operations research, and optimization.

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