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: Applied Linear Algebra and Matrix Analysis
  name:
    name part: Shores, Thomas S.
    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: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 2nd ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 479 p. 45 illus., 30 illus. in color. online resource.
  abstract: In its second edition, this textbook offers a fresh approach to matrix and linear algebra. Its blend of theory, computational exercises, and analytical writing projects is designed to highlight the interplay between these aspects of an application. This approach places special emphasis on linear algebra as an experimental science that provides tools for solving concrete problems. The second edition's revised text discusses applications of linear algebra like graph theory and network modeling methods used in Google's PageRank algorithm. Other new materials include modeling examples of diffusive processes, linear programming, image processing, digital signal processing, and Fourier analysis. These topics are woven into the core material of Gaussian elimination and other matrix operations; eigenvalues, eigenvectors, and discrete dynamical systems; and the geometrical aspects of vector spaces. Intended for a one-semester undergraduate course without a strict calculus prerequisite, Applied Linear Algebra and Matrix Analysis augments the key elements of linear algebra with a wide choice of optional sections. With the book's selection of applications and platform-independent assignments, instructors can tailor the curriculum to suit specific interests and ensure students across various disciplines are equipped with the powerful tools of linear algebra. .
  table of contents: 1. Linear Systems of Equations -- 2. Matrix Algebra -- 3. Vector Spaces -- 4. Geometrical Aspects of Standard Spaces -- 5. The Eigenvalue Problem -- 6. Geometrical Aspects of Abstract Spaces.
  note: by Thomas S. Shores.
  subject:
    topic: Matrix theory
  subject:
    topic: Algebra
  subject:
    topic: Linear and Multilinear Algebras, Matrix Theory
  classification: QA184-205
  classification: 512.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Undergraduate Texts in Mathematics
  identifier: 9783319747484
  identifier: https://doi.org/10.1007/978-3-319-74748-4
  record info:
    record creation date: 180502
    record change date: 20191024011518.0
    record identifier: 978-3-319-74748-4