Results 81 to 90 of about 62,500 (93)

Bidiagonal factorization of Fourier matrices and systolic algorithms for computing discrete Fourier transforms

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
An algorithm is presented for factoring Fourier matrices into products of bidiagonal matrices. These factorizations have the same structure for every n and make possible discrete Fourier transform (DFT) computation via a sequence of local, regular computations. A parallel pipeline technique for computing sequences of k-point DFTs, for every k >
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A New Bidiagonal Factorization of Totally Nonnegative Matrices

Journal of Computational and Theoretical Nanoscience, 2016
Mohamed Ramadan
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Chapter Two. Bidiagonal Factorization

2011
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Bidiagonal Factorizations of Totally Nonnegative Matrices

The American Mathematical Monthly, 2001
(2001). Bidiagonal Factorizations of Totally Nonnegative Matrices. The American Mathematical Monthly: Vol. 108, No. 8, pp. 697-712.
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Positive Bidiagonal Factorizations for Banded Markov Processes

An ordered positive bidiagonal factorization (PBF) is used to develop a spectral and probabilistic theory for Markov transition matrices of arbitrary finite bandwidth. The factors determine two families of mixed-type multiple orthogonal polynomials, an entrywise positive $q\times p$ matrix of measures, and a sequence of elementary death-or-stay and ...
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Erratum: Successively Ordered Elementary Bidiagonal Factorization

SIAM Journal on Matrix Analysis and Applications, 2003
Charles R. Johnson, D. Dale Olesky, Pauline van den Driessche   +2 more
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Bidiagonal Factorization of Totally Nonnegative Rectangular Matrices

2006
Maite Gassó, Juan R. Torregrosa
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Accurate computations of matrices with bidiagonal decomposition using methods for totally positive matrices

Numerical Linear Algebra With Applications, 2013
Alvaro Barreras, Juan Manuel Pena
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Accurate Singular Values of Bidiagonal Matrices

SIAM Journal on Scientific and Statistical Computing, 1990
James Demmel, W Kahan
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Bidiagonal triads and the tetrahedron algebra

Communications in Algebra, 2022
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