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Advanced Linear Algebra:
Foundations to Frontiers
Robert van de Geijn, Margaret Myers
Contents
Index
Prev
Up
Next
Contents
Prev
Up
Next
Front Matter
Colophon
Dedication
Acknowledgements
Preface
0
Getting Started
Opening Remarks
Setting Up For ALAFF
Enrichments
Wrap Up
I
Orthogonality
1
Norms
Opening
Vector Norms
Matrix Norms
Condition Number of a Matrix
Enrichments
Wrap Up
2
The Singular Value Decomposition
Opening Remarks
Orthogonal Vectors and Matrices
The Singular Value Decomposition
Enrichments
Wrap Up
3
The QR Decomposition
Opening
Gram-Schmidt Orthogonalization
Householder QR Factorization
Enrichments
Wrap Up
4
Linear Least Squares
Opening
Solution via the Method of Normal Equations
Solution via the SVD
Solution via the QR factorization
Enrichments
Wrap Up
II
Solving Linear Systems
5
The LU and Cholesky Factorizations
Opening
From Gaussian elimination to LU factorization
LU factorization with (row) pivoting
Cholesky factorization
Enrichments
Wrap Up
6
Numerical Stability
Opening Remarks
Floating Point Arithmetic
Error Analysis for Basic Linear Algebra Algorithms
Error Analysis for Solving Linear Systems
Enrichments
Wrap Up
7
Solving Sparse Linear Systems
Opening Remarks
Direct Solution
Iterative Solution
Enrichments
Wrap Up
8
Descent Methods
Opening
Search directions
The Conjugate Gradient Method
Enrichments
Wrap Up
III
The Algebraic Eigenvalue Problem
9
Eigenvalues and Eigenvectors
Opening
Basics
The Power Method and related approaches
Enrichments
Wrap Up
10
Practical Solution of the Hermitian Eigenvalue Problem
Opening
From Power Method to a simple QR algorithm
A Practical Hermitian QR Algorithm
Enrichments
Wrap Up
11
The QR Algorithm: Computing the SVD
12
Attaining High Performance
Back Matter
A
Are you ready?
B
Notation
Householder notation
C
Knowledge from Numerical Analysis
Cost of basic linear algebra operations
Catastrophic cancellation
D
GNU Free Documentation License
References
Index
Colophon
Authored in PreTeXt
π
Section
1.3
Matrix Norms
ΒΆ
1.3.1
Of linear transformations and matrices
1.3.2
What is a matrix norm?
1.3.3
The Frobenius norm
1.3.4
Induced matrix norms
1.3.5
The matrix 2-norm
1.3.6
Computing the matrix 1-norm and
\infty
-norm
1.3.7
Equivalence of matrix norms
1.3.8
Submultiplicative norms
1.3.9
Summary
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