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Introduction to applied linear algebra : vectors, matrices, and least squares / Stephen Boyd, Lieven Vandenberghe.

By: Contributor(s): Material type: TextDescription: 1 online resourceISBN:
  • 9781316518960 (Hardback)
Subject(s): Additional physical formats: Print version:: Introduction to applied linear algebraDDC classification:
  • 512/.5 23
LOC classification:
  • QA 184.2 .B69 2018
Contents:
Vectors -- Linear functions -- Norm and distance -- Clustering -- Linear independence -- Matrices -- Matrix examples -- Linear equations -- Linear dynamical systems -- Matrix multiplication -- Matrix inverses -- Least squares -- Least squares data fitting -- Least squares classification -- Multi-objective least squares -- Constrained least squares -- Constrained least squares applications -- Nonlinear least squares -- Constrained nonlinear least squares.
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Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Hard Covered Materials MACHAKOS UNIVERSITY LIBRARY Open shelf QA 184.2 .B69 2018 (Browse shelf(Opens below)) Available 39996

Includes bibliographical references and index.

Vectors -- Linear functions -- Norm and distance -- Clustering -- Linear independence -- Matrices -- Matrix examples -- Linear equations -- Linear dynamical systems -- Matrix multiplication -- Matrix inverses -- Least squares -- Least squares data fitting -- Least squares classification -- Multi-objective least squares -- Constrained least squares -- Constrained least squares applications -- Nonlinear least squares -- Constrained nonlinear least squares.

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