Concise Introduction to Linear Algebra
Hu, Qingwen
Sold by HPB-Red, Dallas, TX, U.S.A.
AbeBooks Seller since March 11, 2019
Used - Hardcover
Condition: Used - Good
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by HPB-Red, Dallas, TX, U.S.A.
AbeBooks Seller since March 11, 2019
Condition: Used - Good
Quantity: 1 available
Add to basketConnecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Seller Inventory # S_324938689
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.
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.
"About this title" may belong to another edition of this title.
| Order quantity | 4 to 14 business days | 2 to 6 business days |
|---|---|---|
| First item | US$ 3.75 | US$ 6.99 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.