AbstractIn 1989, Bai and Demmel proposed the multishift QR algorithm for eigenvalue problems. Although the global convergence property of the algorithm (i.e., the convergence from any initial matrix) still remains an open question for general nonsymmetric matrices, in 1992 Jiang focused on symmetric tridiagonal case and gave a global convergence proof for the generalized Rayleigh quotient shifts. In this paper, we propose Wilkinson-like shifts, which reduce to the standard Wilkinson shift in the single shift case, and show a global convergence theorem
在計算矩陣的特徵值(eigenvalues)中,QR演算法是一種常見的技巧. 尤其如果使用適當的移位,將可以較快得到特徵值. 在本文中提出一種新的移位策略, 我們證明這各方法是可行的,而且可適用於任何...
AbstractUsing QR-like decomposition with column pivoting and least squares techniques, we propose a ...
Rapid convergence of the shifted QR algorithm on symmetric matrices was shown more than fifty years ...
AbstractIn 1989, Bai and Demmel proposed the multishift QR algorithm for eigenvalue problems. Althou...
Abstract. The convergence results obtained by J. H. Wilkinson [Linear Algebra Appl. 1 (1968) 409420]...
QR algorithm for eigenproblems is often applied with single or double shift strategies. To save com...
AbstractA new shift in the QL algorithm for symmetric tridiagonal matrices is described. The shift i...
AbstractBy use of the three-term recurrence relation, an elementary and constructive proof is given ...
Recently a generalization of Francis’s implicitly shifted QR-algorithm was proposed, notably widenin...
Each iteration of the multishift QR algorithm of Bai and Demmel requires the computation of a "...
matrix computations, eigenvalues, QR algorithm Each iteration of the multishift QR algorithm of Bai ...
We present new algorithms for refining the estimates of the eigenvectors of a real symmetric matrix....
AbstractWe examine global convergence properties of the Francis shifted QR algorithm on real, normal...
We present a new deflation criterion for the multishift QR algorithm motivated by convergence analys...
AbstractIn the year 2000 the dominant method for solving matrix eigenvalue problems is still the QR ...
在計算矩陣的特徵值(eigenvalues)中,QR演算法是一種常見的技巧. 尤其如果使用適當的移位,將可以較快得到特徵值. 在本文中提出一種新的移位策略, 我們證明這各方法是可行的,而且可適用於任何...
AbstractUsing QR-like decomposition with column pivoting and least squares techniques, we propose a ...
Rapid convergence of the shifted QR algorithm on symmetric matrices was shown more than fifty years ...
AbstractIn 1989, Bai and Demmel proposed the multishift QR algorithm for eigenvalue problems. Althou...
Abstract. The convergence results obtained by J. H. Wilkinson [Linear Algebra Appl. 1 (1968) 409420]...
QR algorithm for eigenproblems is often applied with single or double shift strategies. To save com...
AbstractA new shift in the QL algorithm for symmetric tridiagonal matrices is described. The shift i...
AbstractBy use of the three-term recurrence relation, an elementary and constructive proof is given ...
Recently a generalization of Francis’s implicitly shifted QR-algorithm was proposed, notably widenin...
Each iteration of the multishift QR algorithm of Bai and Demmel requires the computation of a "...
matrix computations, eigenvalues, QR algorithm Each iteration of the multishift QR algorithm of Bai ...
We present new algorithms for refining the estimates of the eigenvectors of a real symmetric matrix....
AbstractWe examine global convergence properties of the Francis shifted QR algorithm on real, normal...
We present a new deflation criterion for the multishift QR algorithm motivated by convergence analys...
AbstractIn the year 2000 the dominant method for solving matrix eigenvalue problems is still the QR ...
在計算矩陣的特徵值(eigenvalues)中,QR演算法是一種常見的技巧. 尤其如果使用適當的移位,將可以較快得到特徵值. 在本文中提出一種新的移位策略, 我們證明這各方法是可行的,而且可適用於任何...
AbstractUsing QR-like decomposition with column pivoting and least squares techniques, we propose a ...
Rapid convergence of the shifted QR algorithm on symmetric matrices was shown more than fifty years ...