Title
Least-squares approximation by elements from matrix orbits achieved by gradient flows on compact lie groups
Abstract
Let S(A) denote the orbit of a complex or real matrix A under a certain equivalence relation such as unitary similarity, unitary equivalence, unitary congruences etc. Efficient gradient-flow algorithms are constructed to determine the best approximation of a given matrix A(0) by the sum of matrices in S(A(1)), ... , S(A(N)) in the sense of finding the Euclidean least-squares distance min {parallel to X(1) + ... + X(N) - A(0)parallel to : X(j) is an element of S(A(j)), j = 1, ... , N}. Connections of the results to different pure and applied areas are discussed.
Year
DOI
Venue
2011
10.1090/S0025-5718-2010-02450-0
MATHEMATICS OF COMPUTATION
Keywords
Field
DocType
Complex Hermitian matrices,real symmetric matrices,eigenvalues,singular values,gradient flows
Unitary perfect number,Matrix similarity,Equivalence relation,Combinatorics,Mathematical analysis,Circular ensemble,Matrix (mathematics),Unitary matrix,Complex Hadamard matrix,Unitary group,Mathematics
Journal
Volume
Issue
ISSN
80
275
0025-5718
Citations 
PageRank 
References 
7
0.59
2
Authors
3
Name
Order
Citations
PageRank
Chi-Kwong Li131329.81
Yiu-Tung Poon2122.82
T Schulte-Herbrüggen371.60