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Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares Hardcover - 2018
by Stephen Boyd; Lieven Vandenberghe
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- 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
by Boyd, Stephen; Vandenberghe, Lieven
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Introduction to Applied Linear Algebra
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Hardback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science,
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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, & LEAST SQUARES 2018
by BOYD
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Introduction to Applied Linear Algebra by Boyd, Stephen
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ISBN: 9781316518960Cambridge 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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