Concise Introduction to Linear Algebra (Hardcover)

Qingwen Hu

ISBN 10: 1138044490 / ISBN 13: 9781138044494

Published by Taylor & Francis Ltd, London, 2017

About this Item

Hardcover. Concise Introduction to Linear Algebra deals with the subject of linear algebra, covering vectors and linear systems, vector spaces, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition. It adopts an efficient approach to lead students from vectors, matrices quickly into more advanced topics including, LU decomposition, orthogonal decomposition, Least squares solutions, Gram-Schmidt process, eigenvalues and eigenvectors, diagonalizability, spectral decomposition, positive definite matrix, quadratic forms, singular value decompositions and principal component analysis. This book is designed for onesemester teaching to undergraduate students. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9781138044494

Bibliographic Details

• Title: Concise Introduction to Linear Algebra (Hardcover)
• Publisher: Taylor & Francis Ltd, London
• Publication Date: 2017
• Language: English
• ISBN 10: 1138044490
• ISBN 13: 9781138044494
• Binding: Hardcover
• Condition: new

About this title

Synopsis

Concise Introduction to Linear Algebra deals with the subject of linear algebra, covering vectors and linear systems, vector spaces, orthogonality, determinants, eigenvalues and eigenvectors, singular value decomposition. It adopts an efficient approach to lead students from vectors, matrices quickly into more advanced topics including, LU decomposition, orthogonal decomposition, Least squares solutions, Gram-Schmidt process, eigenvalues and eigenvectors, diagonalizability, spectral decomposition, positive definite matrix, quadratic forms, singular value decompositions and principal component analysis. This book is designed for onesemester teaching to undergraduate students.

About the Author

Qingwen Hu is Assistant Professor at the University of Texas at Dallas. His research interests include: dynamical systems; state-dependent delay differential equations and their applications in engineering and biology; equivariant degree theory and applications; nonlinear analysis; operations research.