Description

Book Synopsis
Provides an elementary analytically inclined journey to a fundamental result of linear algebra: the Singular Value Decomposition (SVD). SVD is a workhorse in many applications of linear algebra to data science. Four important applications relevant to data science are considered throughout the book.

Table of Contents
  • Introduction
  • Linear algebra and normed vector spaces
  • Main tools
  • The spectral theorem
  • The singular value decomposition
  • Applications revisited
  • A glimpse towards infinite dimensions
  • Bibliography
  • Index of notation
  • Index

Analysis and Linear Algebra The Singular Value

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Order before 4pm today for delivery by Tue 7 Apr 2026.

A Paperback by James Bisgard

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    View other formats and editions of Analysis and Linear Algebra The Singular Value by James Bisgard

    Publisher: MP-AMM American Mathematical
    Publication Date: 6/30/2021 12:00:00 AM
    ISBN13: 9781470463328, 978-1470463328
    ISBN10: 1470463326

    Description

    Book Synopsis
    Provides an elementary analytically inclined journey to a fundamental result of linear algebra: the Singular Value Decomposition (SVD). SVD is a workhorse in many applications of linear algebra to data science. Four important applications relevant to data science are considered throughout the book.

    Table of Contents
    • Introduction
    • Linear algebra and normed vector spaces
    • Main tools
    • The spectral theorem
    • The singular value decomposition
    • Applications revisited
    • A glimpse towards infinite dimensions
    • Bibliography
    • Index of notation
    • Index

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