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:
    non sort: An
    title: Introduction to Computational Science
  name:
    name part: Holder, Allen.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Eichholz, Joseph.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 470 p. 164 illus., 158 illus. in color. online resource.
  abstract: This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: How expensive is a calculation, how trustworthy is a calculation, and how might we model a problem to apply a desired numerical method? The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the transition to computational science from coursework in calculus, differential equations, and linear algebra is natural. Beyond the mathematical and computational content of Part I, students gain proficiency with elemental programming constructs and visualization, which are presented in MATLAB syntax. The focus of Part II is modeling, wherein students build computational models, compute solutions, and report their findings. The models purposely intersect numerous areas of science and engineering to demonstrate the pervasive role played by computational science.
  table of contents: Chapter 1. Solving Single Variable Equations -- Chapter 2. Solving Systems of Equations -- Chapter 3. Approximation -- Chapter 4. Optimization -- Chapter 5. Ordinary Diﬀerential Equations -- Chapter 6. Stochastic Methods & Simulation -- Chapter 7. Computing Considerations -- Chapter 8. Modeling with Matrices -- Chapter 9. Modeling with Ordinary Diﬀerential Equations -- Chapter 10. Modeling with Delayed Diﬀerential Equations -- Chapter 11. Partial Diﬀerential Equations -- Chapter 12. Modeling with Optimization and Simulation -- Chapter 13. Regression Modeling -- Appendix A.
  note: by Allen Holder, Joseph Eichholz.
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Management science
  subject:
    topic: Computer mathematics
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Operations Research, Management Science
  subject:
    topic: Computational Science and Engineering
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 278
  identifier: 9783030156794
  identifier: https://doi.org/10.1007/978-3-030-15679-4
  record info:
    record creation date: 190618
    record change date: 20191026021227.0
    record identifier: 978-3-030-15679-4