Results 261 to 270 of about 2,519,766 (293)
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1987
Turning back to the correlation matrix Σ = (σαβ) associated, in the previous chapter, with the primitive and aperiodic substitution ζ of length q, we shall prove that Σ is the weak-star limit point of a product of matrices whose entries are trigonometric polynomials, in a way similar to the case of generalized Riesz products.
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Turning back to the correlation matrix Σ = (σαβ) associated, in the previous chapter, with the primitive and aperiodic substitution ζ of length q, we shall prove that Σ is the weak-star limit point of a product of matrices whose entries are trigonometric polynomials, in a way similar to the case of generalized Riesz products.
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Computing roots of matrix products
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik, 2001AbstractThe problem of computing a kth root of a matrix product W = Πki=1 Ai is considered. The explicit computation of W may produce a highly inaccurate result due to rounding errors, such that the computed root W1/k is far from the actual root W1/k. An algorithm for computing the square root of W is presented which avoids the explicit computation of ...
Benner, P. ; https://orcid.org/0000-0003-3362-4103 +1 more
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A CCD matrix matrix product parallel processor
1984 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1984The design of a CCD matrix-matrix device operating up to 10MHz clock rates, performing the serial-in parallel-out and Fourier transform functions required in radar doppler filtering, will be reported. The chip contains 32 multipliers and 1024 accumulators.
A. Chiang +3 more
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The Global Productivity Matrix:
Journal of Global Marketing, 1992Global sales force allocation decisions are among the most important and most difficult decisions facing the multinational enterprise. While much has been written about sales force deployment in general, the literature is void of specific deployment approaches for the global sales force.
Joel Herche, Michael J Swenson
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2012
The term ‘matrix-product state’ (MPS) is introduced in quantum physics (see, e.g., Verstraete-Cirac [190], [105, Eq. (2)]). The related tensor representation can be found already in Vidal [191] without a special naming of the representation. The method has been reinvented by Oseledets and Tyrtyshnikov ([152], [155], [159]) and called ‘TT decomposition’.
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The term ‘matrix-product state’ (MPS) is introduced in quantum physics (see, e.g., Verstraete-Cirac [190], [105, Eq. (2)]). The related tensor representation can be found already in Vidal [191] without a special naming of the representation. The method has been reinvented by Oseledets and Tyrtyshnikov ([152], [155], [159]) and called ‘TT decomposition’.
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Matrix-product neural network based on sequence block matrix product
The Journal of Supercomputing, 2022Chuanhui Shan, Jun Ou, Xiumei Chen
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The biofilm matrix: multitasking in a shared space
Nature Reviews Microbiology, 2022Hans-Curt Flemming +2 more
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Cell–extracellular matrix mechanotransduction in 3D
Nature Reviews Molecular Cell Biology, 2023Aashrith Saraswathibhatla +2 more
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Extracellular vesicle–matrix interactions
Nature Reviews Materials, 2023Ambar Rivera, Jae-won Shin
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