<--- Back to Details
First PageDocument Content
Matrix theory / Linear algebra / Abstract algebra / Numerical linear algebra / Eigenvalues and eigenvectors / Singular value decomposition / Canonical basis / Matrix / Schur decomposition / Polynomial / Eigenvalue algorithm
Date: 2009-07-31 11:31:48
Matrix theory
Linear algebra
Abstract algebra
Numerical linear algebra
Eigenvalues and eigenvectors
Singular value decomposition
Canonical basis
Matrix
Schur decomposition
Polynomial
Eigenvalue algorithm

A New Algorithm for Computing Certified Numerical Approximations of the Roots of a Zero-dimensional System Stef Graillat, Philippe Trébuchet LIP6 - Université Pierre et Marie Curie (Paris 6)

Add to Reading List

Source URL: issac2009.kias.re.kr

Download Document from Source Website

File Size: 988,13 KB

Share Document on Facebook

Similar Documents

MathQuest: Linear Algebra  Eigenvalues and Eigenvectors 1. Compute the product  

MathQuest: Linear Algebra Eigenvalues and Eigenvectors 1. Compute the product 

DocID: 1v0yX - View Document

1. For vectors a = (3, 6, −4) and b = (−2, k, 1), determine the value of k such that the two vectors are perpendicular. 2. Determine Eigenvalues and Eigenvectors of the following matrices using R. Explain the results

DocID: 1tYwa - View Document

ES 111 Mathematical Methods in the Earth Sciences Problem Set 6 - Due Mon Nov 24th 2014 Warmup (NPC) 1 a) Find the eigenvectors and eigenvalues of the following matrix, and hence sketch the resulting strain ellipse [5]:

ES 111 Mathematical Methods in the Earth Sciences Problem Set 6 - Due Mon Nov 24th 2014 Warmup (NPC) 1 a) Find the eigenvectors and eigenvalues of the following matrix, and hence sketch the resulting strain ellipse [5]:

DocID: 1rS1k - View Document

Spectral Graph Theory and Applications  WSProblem Set 1 Due: Nov. 25

Spectral Graph Theory and Applications WSProblem Set 1 Due: Nov. 25

DocID: 1rsKM - View Document

103  Documenta Math. Dynamical Symmetries in Supersymmetric Matrix1

103 Documenta Math. Dynamical Symmetries in Supersymmetric Matrix1

DocID: 1roY8 - View Document