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: Numerical Methods for Nonlinear Engineering Models
  name:
    name part: Hauser, John R.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 1013 p. online resource.
  abstract: The purpose of this book is to develop and illustrate various numerical computer based methods that can be used for engineering models and equations. The intended audience is the practicing engineer who needs to model real world engineering models or the upper level engineering undergraduate or first year graduate student interested in developing skills in computer models of engineering problems. The material is presented in a "learning by example" style whereby many examples are used to develop and illustrate concepts as opposed to extensive mathematical treatments. The book presents an integrated approach to engineering models whereby linear models are treated as simple special cases of more general approaches appropriate for nonlinear models. In addition to standard topics in numerical methods, the material covers the estimation of parameters associated with engineering models and the statistical nature of modeling with nonlinear models. Topics covered include coupled systems of nonlinear equations and coupled systems of nonlinear differential equations. For all the topics covered extensive computer code is developed in a modern computer language that is easy to program and understand. The developed code can be readily used to model real world engineering problems. Finally for all topic areas extensive discussion is included of the accuracy that can be achieved with the various numerical methods and methods are developed that can be used to access the accuracy of the modeling methods. The book assumes only the normal mathematical background of the introductory college level mathematics courses through calculus. In addition the material can be readily understood by anyone familiar with at least one computer programming language.
  table of contents: to Nonlinear Engineering Problems and Models -- Numerical Fundamentals and Computer Programming -- Roots of Nonlinear Equations -- Solving Sets of Equations: Linear and Nonlinear -- Numerical Derivatives and Numerical Integration -- Interpolation -- Curve Fitting and Data Plotting -- Statistical Methods and Basic Statistical Functions -- Data Models and Parameter Estimation -- Differential Equations: Initial Value Problems -- Differential Equations: Boundary Value Problems -- Partial Differential Equations: Finite Difference Approaches -- Partial Differential Equations: The Finite Element Method.
  note: edited by John R. Hauser.
  subject:
    topic: Engineering
  subject:
    topic: Computer mathematics
  subject:
    topic: Physics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computational intelligence
  subject:
    topic: Environmental sciences
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Numerical and Computational Physics
  subject:
    topic: Math. Appl. in Environmental Science
  subject:
    topic: Appl.Mathematics/Computational Methods of Engineering
  subject:
    topic: Computational Science and Engineering
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  identifier: 9781402099205
  identifier: http://dx.doi.org/10.1007/978-1-4020-9920-5
  record info:
    record creation date: 100301
    record change date: 20151204190454.0
    record identifier: 978-1-4020-9920-5