Symbolic-Numeric Aspects in Computation of Invariant Pairs for Matrix Polynomials Esteban Segura Ugalde XLIM-DMI, Universit´e de Limoges The generalized eigenvalue/eigenvector problem for matrix polynomials consists in

Source URL: jncf2013.imag.fr

MATHHomework 7 This homework will be collected at the end of class on Nov. 19, For each of the following matrices A, find a Jordan canonical form J and a matrix X such that A = XJX −1 . (a)

Source URL: hkumath.hku.hk

• Matrix theory
• Abstract algebra
• Singular value decomposition
• Generalized eigenvector
• Eigenvalues and eigenvectors
• Diagonalizable matrix
• Jordan normal form
• Vector space
• Matrix
• Algebra
• Linear algebra
• Mathematics

MATHPartial solutions for practice problems for weeks 10 and 11 These are practice problems for the material discussed in lectures on Wednesday, Nov. 19 and Wednesday, Nov. 26, 2014. These problems will not be

Source URL: hkumath.hku.hk

• Matrix theory
• Eigenvalues and eigenvectors
• Diagonalizable matrix
• Minimal polynomial
• Jordan normal form
• Characteristic polynomial
• Generalized eigenvector
• Jordan matrix
• Matrix
• Algebra
• Linear algebra
• Mathematics

MATHPartial solutions for practice problems for week 9 These are practice problems for the material discussed in lecture on Wednesday, Nov. 12, 2014. These problems will not be collected. 1. For each of the fo

Source URL: hkumath.hku.hk

• Matrix theory
• Eigenvalues and eigenvectors
• Generalized eigenvector
• Characteristic polynomial
• Jordan normal form
• Vector space
• Matrix
• Jordan matrix
• Cayley–Hamilton theorem
• Algebra
• Linear algebra
• Mathematics

SOLVING OVERDETERMINED EIGENVALUE PROBLEMS SAPTARSHI DAS∗ AND ARNOLD NEUMAIER† Abstract. We propose a new interpretation of the generalized overdetermined eigenvalue problem (A − λB) v ≈ 0 for two m × n (m > n

Source URL: www.mat.univie.ac.at

• Abstract algebra
• Matrix theory
• Numerical linear algebra
• Eigenvalues and eigenvectors
• Singular value decomposition
• Generalized eigenvector
• Matrix
• Orthogonal matrix
• Inverse iteration
• Algebra
• Mathematics
• Linear algebra

Eigenproblems in Pattern Recognition Tijl De Bie1 , Nello Cristianini2 , and Roman Rosipal3 1 K.U.Leuven ESAT-SCD/SISTA Kasteelpark Arenberg 10

Source URL: www.face-rec.org

• Matrix theory
• Matrices
• Singular value decomposition
• Abstract algebra
• Eigenvalues and eigenvectors
• Eigendecomposition of a matrix
• Rayleigh quotient
• Projection
• Generalized eigenvector
• Algebra
• Linear algebra
• Mathematics

Computation of the Best-fitting Flat for a Set of Points Gary D. Knott, Ph.D. Civilized Software, IncHeritage Park Circle Silver Spring MDTel.: (

Source URL: www.civilized.com

• Singular value decomposition
• Matrix theory
• Data analysis
• Principal component analysis
• Eigenvalues and eigenvectors
• Eigendecomposition of a matrix
• Generalized eigenvector
• Algebra
• Linear algebra
• Mathematics

6.241J Course Notes, Chapter 12: Modal decomposition of state-space models

Source URL: ocw.mit.edu

• Matrix theory
• Matrices
• Singular value decomposition
• Eigenvalues and eigenvectors
• Diagonalizable matrix
• Modal matrix
• Diagonal matrix
• Generalized eigenvector
• Matrix
• Algebra
• Linear algebra
• Mathematics

Semi-supervised Eigenvectors for Locally-biased Learning Michael W. Mahoney Department of Mathematics Stanford University

Source URL: www.cs.yale.edu

• Matrix theory
• Singular value decomposition
• Multivariate statistics
• Eigenvalues and eigenvectors
• Graph partition
• Generalized eigenvector
• Dimension reduction
• Matrix
• Eigendecomposition of a matrix
• Algebra
• Mathematics
• Linear algebra

F08 – Least-squares and Eigenvalue Problems (LAPACK) F08WPF NAG Library Routine Document F08WPF (ZGGEVX)

Source URL: www.nag.com

• Matrix theory
• Singular value decomposition
• Abstract algebra
• Eigenvalues and eigenvectors
• Generalized eigenvector
• Matrix
• Algebra
• Mathematics
• Linear algebra