rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mathematical and Computational Approaches in Advancing Modern Science and Engineering
  name:
    name part: Bélair, Jacques.
    role:
      role term: editor.
  name:
    name part: Frigaard, Ian A.
    role:
      role term: editor.
  name:
    name part: Kunze, Herb.
    role:
      role term: editor.
  name:
    name part: Makarov, Roman.
    role:
      role term: editor.
  name:
    name part: Melnik, Roderick.
    role:
      role term: editor.
  name:
    name part: Spiteri, Raymond J.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 806 p. 228 illus., 163 illus. in color. online resource.
  abstract: Focusing on five main groups of interdisciplinary problems, this book covers a wide range of topics in mathematical modeling, computational science and applied mathematics. It presents a wealth of new results in the development of modeling theories and methods, advancing diverse areas of applications and promoting interdisciplinary interactions between mathematicians, scientists, engineers and representatives from other disciplines. The book offers a valuable source of methods, ideas, and tools developed for a variety of disciplines, including the natural and social sciences, medicine, engineering, and technology. Original results are presented on both the fundamental and applied level, accompanied by an ample number of real-world problems and examples emphasizing the interdisciplinary nature and universality of mathematical modeling, and providing an excellent outline of today’s challenges. Mathematical modeling, with applied and computational methods and tools, plays a fundamental role in modern science and engineering. It provides a primary and ubiquitous tool in the context making new discoveries, as well as in the development of new theories and techniques for solving key problems arising in scientific and engineering applications. The contributions, which are the product of two highly successful meetings held jointly in Waterloo, Ontario, Canada on the main campus of Wilfrid Laurier University in June 2015, i.e. the International Conference on Applied Mathematics, Modeling and Computational Science, and the Annual Meeting of the Canadian Applied and Industrial Mathematics (CAIMS), make the book a valuable resource for any reader interested in a broader overview of the methods, ideas and tools involved in mathematical and computational approaches developed for other disciplines, including the natural and social sciences, engineering and technology. .
  table of contents: 1 Theory and Applications of Mathematical Models in Physical and Chemical Sciences -- 2 Mathematical and Computational Methods in Life Sciences and Medicine -- 3 Computational Engineering and Mathematical Foundation, Numerical Methods and Algorithms -- 4 Mathematics and Computation in Finance, Economics, and Social Sciences -- 5 New Challenges in Mathematical Modeling for Scientific and Engineering Applications.
  note: edited by Jacques Bélair, Ian A. Frigaard, Herb Kunze, Roman Makarov, Roderick Melnik, Raymond J. Spiteri.
  subject:
    topic: Mathematics
  subject:
    topic: Computer simulation
  subject:
    topic: Computer mathematics
  subject:
    topic: Mathematical models
  subject:
    topic: Biomathematics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Mathematics
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Mathematical and Computational Biology
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Numerical and Computational Physics, Simulation
  classification: QA71-90
  classification: 004
  related item:
    title info:
      title: Springer eBooks
  identifier: 9783319303796
  identifier: http://dx.doi.org/10.1007/978-3-319-30379-6
  record info:
    record creation date: 160810
    record change date: 20161202080631.0
    record identifier: 978-3-319-30379-6