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: Similarity and Modeling in Science and Engineering
  name:
    name part: Kuneš, Josef.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 442 p. online resource.
  abstract: The present text sets itself in relief to other titles on the subject in that it addresses the means and methodologies versus a narrow specific-task oriented approach. Concepts and their developments which evolved to meet the changing needs of applications are addressed. This approach provides the reader with a general tool-box to apply to their specific needs. Two important tools are presented: dimensional analysis and the similarity analysis methods. The fundamental point of view, enabling one to sort all models, is that of information flux between a model and an original expressed by the similarity and abstraction. Each chapter includes original examples and ap-plications. In this respect, the models can be divided into several groups. The following models are dealt with separately by chapter; mathematical and physical models, physical analogues, deterministic, stochastic, and cybernetic computer models. The mathematical models are divided into asymptotic and phenomenological models. The phenomenological models, which can also be called experimental, are usually the result of an experiment on a complex object or process. The variable dimensionless quantities contain information about the real state of boundary conditions, parameter (non-linearity) changes, and other factors. With satisfactory measurement accuracy and experimental strategy, such models are highly credible and can be used, for example, in control systems.
  table of contents: From the Contents: Methodology of Modeling -- Dimensional Analysis -- Methods of Similarity Analysis -- Mathematical Models -- Physical Models -- Physical Analogs -- Computer Deterministic Models -- Computer Stochastic Models -- Cybernetic Models.
  note: by Josef Kuneš.
  subject:
    topic: Engineering
  subject:
    topic: Computer-aided engineering
  subject:
    topic: Computer mathematics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Computer-Aided Engineering (CAD, CAE) and Design
  subject:
    topic: Computational Science and Engineering
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781907343780
  identifier: http://dx.doi.org/10.1007/978-1-907343-78-0
  record info:
    record creation date: 120404
    record change date: 20151125222404.0
    record identifier: 978-1-907343-78-0