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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares Hardcover - 2018

by Stephen Boyd; Lieven Vandenberghe


From the publisher

This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB(R), and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.

Details

  • Title Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
  • Author Stephen Boyd; Lieven Vandenberghe
  • Binding Hardcover
  • Pages 474
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Date 2018-06-07
  • Features Bibliography, Index
  • ISBN 9781316518960 / 1316518965
  • Weight 2.68 lbs (1.22 kg)
  • Dimensions 9.45 x 7.23 x 0.97 in (24.00 x 18.36 x 2.46 cm)
  • Library of Congress subjects Matrices, Algebras, Linear
  • Library of Congress Catalog Number 2018017123
  • Dewey Decimal Code 512.5
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

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Introduction to Applied Linear Algebra

Introduction to Applied Linear Algebra

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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

by Boyd, Stephen; Vandenberghe, Lieven

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INTRODUCTION TO APPLIED LINEAR ALGEBRA: VECTORS, MATRICES, & LEAST SQUARES 2018
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INTRODUCTION TO APPLIED LINEAR ALGEBRA: VECTORS, MATRICES, & LEAST SQUARES 2018

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Introduction to Applied Linear Algebra by Boyd, Stephen

Introduction to Applied Linear Algebra by Boyd, Stephen

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ISBN: 9781316518960
Cambridge University Press, 01 January 2018
Hardback, 463 pages
This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB�, and data sets accompanying the book online. Suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they… Read More
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$40.50
$32.40 shipping to USA