About: Tridiagonal matrix algorithm is a research topic. Over the lifetime, 1070 publications have been published within this topic receiving 21084 citations.
TL;DR: It is showed that if A is I-block diagonally dominant (II-block Diagonal dominant), then the reduced matrix S preserves the same property, and some properties on the comparison matrices @m"I"I(A^(^k^)), @m'I(L), and @m’I(U) are obtained.
Abstract: It is showed that if A is I-block diagonally dominant (II-block diagonally dominant), then the reduced matrix S preserves the same property. We also give a sufficient condition for the reduced matrix S also to be a block H-matrix when A is a block H-matrix, and some properties on the comparison matrices @m"I(A^(^k^)), @m"I"I(A^(^k^)), @m"I(L), and @m"I(U) are obtained. Finally, error analysis of block LU factorization for block tridiagonal matrix is presented.
TL;DR: A formula is given for the inverse of a symmetriccirculant tridiagonal matrix as a product of a circulant matrix and its transpose, and the utility of this approach for solving the associated system is discussed.
Abstract: A circulant tridiagonal system is a special type of Toeplitz system that appears in a variety of problems in scientific computation. In this paper we give a formula for the inverse of a symmetric circulant tridiagonal matrix as a product of a circulant matrix and its transpose, and discuss the utility of this approach for solving the associated system.
TL;DR: Orthonormal Hermite-Gaussian-like eigenvectors for F are rigorously derived by a detailed analysis of an almost tridiagonal matrix, S, which commutes with F.
Abstract: The development of the discrete fractional Fourier transform (DFRFT) necessitates having orthonormal eigenvectors for the DFT matrix, F. The objective of having the DFRFT approximate its continuous counterpart can be met if the eigenvectors of F approximate samples of the Hermite-Gaussian functions. Orthonormal Hermite-Gaussian-like eigenvectors for F are rigorously derived by a detailed analysis of an almost tridiagonal matrix, S, which commutes with F. By an appropriate similarity transformation, S is reduced to a 2/spl times/2 block diagonal form and the elements of the two exactly tridiagonal matrices forming the two diagonal blocks are explicitly derived in terms of the elements of matrix S.
TL;DR: Interestingly, the serial arithmetical operations count for the present algorithm is 0(1612;N); this makes it faster than the quadrant interlocking factorization method of Chawla and Passi, the partitioning method of Wang and cyclic reduction, each of which has a serial count of 0(17N).
Abstract: We present a parallel algorithm for the solution of tridiagonal linear systems based on the method of partitioning and backward elimination. A given N × N system is partitioned into r blocks each of size n × n (N = rn n even). Within each block the system is rewritten by collecting pairs of equations from the top and bottom (written backwards); this makes it suitable to solve the subsystem by a UL-factorization of its coefficient matrix. Once a core system of size 2r × 2r has been solved, solutions of the r subsystems can be computed in parallel. Interestingly, the serial arithmetical operations count for the present algorithm is 0(1612;N); this makes it faster than the quadrant interlocking factorization method of Chawla and Passi [1], the partitioning method of Wang [7] and cyclic reduction (see Hockney and Jesshope [6, p. 479]), each of which has a serial count of 0(17N).
TL;DR: A finite volume, time-marching for solving time-dependent viscoelastic flow in two space dimensions for Oldroyd-B and Phan Thien-Tanner fluids, is presented in this paper.