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1. Matrix analysis [2013]
 Horn, Roger A.
 2nd ed.  Cambridge ; New York : Cambridge University Press, 2013.
 Description
 Book — xviii, 643 p. : ill. ; 26 cm.
 Summary

 1. Eigenvalues, eigenvectors, and similarity
 2. Unitary similarity and unitary equivalence
 3. Canonical forms for similarity, and triangular factorizations
 4. Hermitian matrices, symmetric matrices, and congruences
 5. Norms for vectors and matrices
 6. Location and perturbation of eigenvalues
 7. Positive definite and semidefinite matrices
 8. Positive and nonnegative matrices Appendix A. Complex numbers Appendix B. Convex sets and functions Appendix C. The fundamental theorem of algebra Appendix D. Continuous dependence of the zeroes of a polynomial on its coefficients Appendix E. Continuity, compactness, and Weierstrass' theorem Appendix F. Canonical pairs.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780521839402 20160610
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

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QA188 .H66 2013  Unknown On reserve at Li and Ma Science Library 2hour loan 
MATH10401
 Course
 MATH10401  Applied Matrix Theory
 Instructor(s)
 Kazeev, Vladimir
 Laub, Alan J., 1948
 Philadelphia : Society for Industrial and Applied Mathematics, [2005]
 Description
 Book — xiii, 157 pages : illustrations ; 26 cm
 Summary

 Preface
 1. Introduction and review
 2. Vector spaces
 3. Linear transformations
 4. Introduction to the MoorePenrose pseudoinverse
 5. Introduction to the singular value decomposition
 6. Linear equations
 7. Projections, inner product spaces, and norms
 8. Linear least squares problems
 9. Eigenvalues and eigenvectors
 10. Canonical forms
 11. Linear differential and difference equations
 12. Generalized eigenvalue problems
 13. Kronecker products Bibliography Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data) 9780898715767 20171227
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks  
QA188 .L38 2005  Unknown On reserve at Li and Ma Science Library 2hour loan 
MATH10401
 Course
 MATH10401  Applied Matrix Theory
 Instructor(s)
 Kazeev, Vladimir
 Meyer, C. D. (Carl Dean)
 Philadelphia : Society for Industrial and Applied Mathematics, c2000.
 Description
 Book — xii, 718 p. : ill. ; 25 cm. + 1 computer optical disc (4 3/4 in.)
 Summary

 1. Linear equations
 2. Rectangular systems and echelon forms
 3. Matrix algebra
 4. Vector spaces
 5. Norms, inner products, and orthogonality
 6. Determinants
 7. Eigenvalues and eigenvectors
 8. PerronFrobenius theory.
(source: Nielsen Book Data) 9780898714548 20160528
 Online
Science Library (Li and Ma)
Science Library (Li and Ma)  Status 

Stacks


QA188 .M495 2000  Unknown On reserve at Li and Ma Science Library 2hour loan 
MATH10401
 Course
 MATH10401  Applied Matrix Theory
 Instructor(s)
 Kazeev, Vladimir
4. Matrix algorithms [1998  ]
 Stewart, G. W. (Gilbert W.)
 Philadelphia : Society for Industrial and Applied Mathematics, c1998
 Description
 Book — v. : ill. ; 26 cm.
 Summary

 v. 1. Basic decompositions. 1. Matrices, algebra, and analysis 2. Matrices and machines 3. Gaussian elimination 4. The QR decomposition and least squares 5. Rankreducing decompositions
 v. 2. Eigensystems. 1. Eigensystems
 2. The QR algorithm
 3. The symmetric eigenvalue problem
 4. Eigenspaces and their approximation
 5. Krylov sequence methods
 6. Alternatives
 7. Appendix : background
(source: Nielsen Book Data) 9780898714142 20160528
 Online

 Vol. 1: SIAM
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Science Library (Li and Ma)
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QA188 .S714 1998 V.1  Unknown On reserve at Li and Ma Science Library 2hour loan 
QA188 .S714 1998 V.2  Unknown On reserve at Li and Ma Science Library 2hour loan 
MATH10401
 Course
 MATH10401  Applied Matrix Theory
 Instructor(s)
 Kazeev, Vladimir