Concise Introduction to Linear Algebra /
"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...
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| Format: | eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2017.
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| Edition: | First edition. |
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| Online Access: | Connect to the full text of this electronic book Connect to the full text of this electronic book |
MARC
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| 100 | 1 | |a Hu, Qingwen, |e author. | |
| 245 | 1 | 0 | |a Concise Introduction to Linear Algebra / |c Qingwen Hu. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c 2017. | |
| 300 | |a 1 online resource : |b text file, PDF | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 520 | 2 | |a "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. | |
| 505 | 0 | |a 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. | |
| 588 | |a OCLC-licensed vendor bibliographic record. | ||
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| 650 | 0 | |a Algebras, Linear. | |
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