Hu, Qingwen,
Concise Introduction to Linear Algebra / Qingwen Hu. - First edition. - 1 online resource : text file, PDF
Chapter 1 Vectors and linear systems -- chapter 2 Solving linear systems -- chapter 3 Vector spaces -- chapter 4 Orthogonality -- chapter 5 Determinants -- chapter 6 Eigenvalues and eigenvectors -- chapter 7 Singular value decomposition -- chapter 8 Linear transformations -- chapter 9 Linear programming.
"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."--Provided by publisher.
9781315172309 1315172305 9781351697460 1351697463 9781351697446 1351697447
10.1201/9781315172309 doi
MATHEMATICS--Applied.
Algebras, Linear.
QA184.2 / H875 2017
512.5
Concise Introduction to Linear Algebra / Qingwen Hu. - First edition. - 1 online resource : text file, PDF
Chapter 1 Vectors and linear systems -- chapter 2 Solving linear systems -- chapter 3 Vector spaces -- chapter 4 Orthogonality -- chapter 5 Determinants -- chapter 6 Eigenvalues and eigenvectors -- chapter 7 Singular value decomposition -- chapter 8 Linear transformations -- chapter 9 Linear programming.
"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."--Provided by publisher.
9781315172309 1315172305 9781351697460 1351697463 9781351697446 1351697447
10.1201/9781315172309 doi
MATHEMATICS--Applied.
Algebras, Linear.
QA184.2 / H875 2017
512.5