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On the Convergence of Cyclic Jacobi-Like Processes

Vjeran Hari
- 01 Sep 1986 - 
- Vol. 81, pp 105-127
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TLDR
In this paper, a complex, column-and row-cyclic Jacobi-like process of the form A(k+1 ) = U ∗ k A( k )V k + F( k ), k⩾1, where U k, V k are unitary plane matrices, (F ( k )) is a sequence converging to diagonal form, and A ( 1 ) is an arbitrary n × n matrix.
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This article is published in Linear Algebra and its Applications.The article was published on 1986-09-01 and is currently open access. It has received 17 citations till now. The article focuses on the topics: Diagonal form & Matrix (mathematics).

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Citations
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Journal ArticleDOI

Implementation of Jacobi Rotations for Accurate Singular Value Computation in Floating Point Arithmetic

TL;DR: The modified Jacobi method recommended in this paper can be implemented as a reliable and highly accurate procedure for computing the SVD of general real matrices whenever the exact singular values do not exceed the underflow or overflow limits.
Journal ArticleDOI

On Jacobi methods for singular value decompositions

TL;DR: An improvement of the Jacobi singular value decomposition algorithm is proposed in this article, where the matrix is first reduced to a triangular form and the row-cyclic strategy preserves the triangularity.
Journal ArticleDOI

A Jacobi-like algorithm for computing the generalized Schur form of a regular pencil

TL;DR: A Jacobi-like scheme for computing the generalized Schur form of a regular pencil of matrices σB − A that can efficiently be implemented in parallel on a square array of processors and yields further insight in Stewart's algorithm.
Journal ArticleDOI

Convergence to diagonal form of block Jacobi-type methods

TL;DR: The paper provides sufficient conditions for the general sequential block Jacobi-type method to converge to the diagonal form for cyclic pivot strategies which are weakly equivalent to the column-cyclic strategy.
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On the quadratic convergence of the Falk-Langemeyer method

TL;DR: The Falk-Langemeyer method for solving real definite generalized eigenvalue problems is proved to be quadratically convergent under arbitrary cyclic pivot strategy if the eigenvalues of the problem are simple.
References
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Journal ArticleDOI

The cyclic Jacobi method for computing the principal values of a complex matrix

TL;DR: In this paper, it was shown that the set of Xi is the limiting set of diagonal elements of a sequence of matrices which are generated from A recursively by plane rotations.
Journal ArticleDOI

Solution to the Eigenproblem by a norm reducing Jacobi type method

TL;DR: In this paper, a matrix T = T 1 T 2...T i... (or T -1) is constructed as a product of a sequence of two dimensional transformations T i, where T i is of the form RS where R is a rotation and S a complex rotation.

Contribution IIf 12 Solution to the Eigenproblem by a Norm Reducing Jacobi Type Method

TL;DR: In this paper, the rotational parameter x is determined by tan 2x= (a"",+a",,,)/(akk -a,,,,); that solution x being chosen such that after the transformation the norm of the k-th column is greater than or equal to the norm (m)th column.
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