SIAM Journal on Scientific and Statistical Computing
A Proof of Convergence for Two Parallel Jacobi SVD Algorithms
IEEE Transactions on Computers
A set of level 3 basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
A note on one-sided Jacobi algorithm
Numerische Mathematik
Jacobi's method is more accurage than QR
SIAM Journal on Matrix Analysis and Applications
On the Convergence of the Jacobi Method for Arbitrary Orderings
SIAM Journal on Matrix Analysis and Applications
Efficient algorithms for computing a strong rank-revealing QR factorization
SIAM Journal on Scientific Computing
SIAM Journal on Scientific Computing
Relative Perturbation Theory: I. Eigenvalue and Singular Value Variations
SIAM Journal on Matrix Analysis and Applications
The Geometry of Algorithms with Orthogonality Constraints
SIAM Journal on Matrix Analysis and Applications
Relative Perturbation Theory: II. Eigenspace and Singular Subspace Variations
SIAM Journal on Matrix Analysis and Applications
Accurate Singular Value Decompositions of Structured Matrices
SIAM Journal on Matrix Analysis and Applications
Accelerating the SVD Block-Jacobi Method
Computing - Editorial: Special issue on GAMM – Workshop on Guaranteed Error-bounds for the Solution of Nonlinear Problems in Applied Mathematics
Convergence of a Block-Oriented Quasi-Cyclic Jacobi Method
SIAM Journal on Matrix Analysis and Applications
New Fast and Accurate Jacobi SVD Algorithm. I
SIAM Journal on Matrix Analysis and Applications
New Fast and Accurate Jacobi SVD Algorithm. II
SIAM Journal on Matrix Analysis and Applications
On the Failure of Rank-Revealing QR Factorization Software -- A Case Study
ACM Transactions on Mathematical Software (TOMS)
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This paper introduces a globally convergent block (column- and row-) cyclic Jacobi method for diagonalization of Hermitian matrices and for computation of the singular value decomposition of general matrices. It is shown that a block rotation (a generalization of the Jacobi $2\times2$ rotation) can be computed and implemented in a particular way to guarantee global convergence. The proof includes the convergence of the eigenspaces in the general case of multiple eigenvalues. This solves a long standing open problem of convergence of block cyclic Jacobi methods.