Results 311 to 320 of about 5,896,098 (374)
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PLZT matrix-type block-data composers
IEEE Journal of Quantum Electronics, 1973The characteristics of PLZT matrix-type block data composers operated in the strain-biased, scattering, differential phase and edge-effect modes are described, and a comparison is given of these four modes of operation.
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Block matrix approximation via entropy loss function
Applications of Mathematics, 2020The covariance matrix is one of the most important elements of probability calculation, it is a symmetric, positive-definite matrix. The question of how to approximate well has been raised many times. A solution to this problem is answered in this article. Symmetric, positive-definite matrices can be approximated by symmetric block partitioned matrices
Janiszewska, Malwina +2 more
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Sparse matrix block-cyclic redistribution
Proceedings 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing. IPPS/SPDP 1999, 2003Run-time support for the CYCLIC(k) redistribution on the SPMD computation model is presently very relevant for the scientific community. This work is focused to the characterization of the sparse matrix redistribution and its associate problematic due to the use of compressed representations.
G. Bandera, E.L. Zapata
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Block ILU Preconditioners for a Nonsymmetric Block-Tridiagonal M-Matrix
BIT Numerical Mathematics, 2000The paper is directed to preconditioning linear equations that arise from finite difference methods or finite elements. It is assumed that the matrix elements outside of the diagonal blocks are not positive. The assumption holds for finite difference methods and for some finite element methods of lowest order. Comparison theorems for \(M\)-matrices can
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Matrix Multipliers for a Block Schur Product
Results in Mathematics, 2021The paper is a continuation of the author's research started in [Khayyam J. Math. 5, No. 2, 40--50 (2019; Zbl 1438.15051); Bull. Iran. Math. Soc. 46, No. 6, 1775--1789 (2020; Zbl 07290394)]. Here he considers the generalization of the classical Schur product of matrices to the case when the entries come from a space of operators.
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Block Band Matrix Subspace Iteration
Computer-Aided Civil and Infrastructure Engineering, 1991Abstract: For a microcomputer user in civil engineering, the. major factor of concern is not necessarily the computing time but the incore memory. It is particularly important for dynamic and nonlinear analyses. Solution techniques employing secondary memory to extend the capacity of a microcomputer in solving engineering problems are active research ...
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The inverse of a block-circulant matrix
IEEE Transactions on Antennas and Propagation, 1983The inverse A^{-1} of a block-circulant matrix (BCM) A is given in a closed form, by using the fact that a BCM is a combination of permutation matrices, whose eigenvalues and eigenvectors are found with the help of the complex roots of unity. Special results are also given when A is block symmetric or symmetric.
De Mazancourt, T., Gerlic, D.
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On the Similarity of Block Matrix
Advances in Applied Mathematics, 2021宇 程
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Inverse Spectrum Problems for Block Jacobi Matrix
1993A spectrum function for the block Jacobi matrix is defined which allows to determine conditions for existence and uniqueness for the corresponding inverse spectrum problem. Two numerical algorithms for solving the inverse spectrum problem are proposed and their behaviour is illustrated on several examples of order up to 15.
Zhu, Benren +2 more
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Matrix Measures and Random Walks with a Block Tridiagonal Transition Matrix
SIAM Journal on Matrix Analysis and Applications, 2007Summary: We study the connection between matrix measures and random walks with a block tridiagonal transition matrix. We derive sufficient conditions such that the blocks of the \(n\)-step block tridiagonal transition matrix of the Markov chain can be represented as integrals with respect to a matrix valued spectral measure.
Dette, Holger +3 more
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