Results 71 to 80 of about 440,251 (233)
A Taylor matrix method is developed to find an approximate solution of the most general linear Fredholm integrodifferential-difference equations with variable coefficients under the mixed conditions in terms of Taylor polynomials.
Mehmet Sezer, Mustafa Gülsu
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Privacy Protection by Matrix Transformation
Privacy preserving is indispensable in data mining. In this paper, we present a novel clustering method for distributed multi-party data sets using orthogonal transformation and data randomization techniques. Our method can not only protect privacy in face of collusion, but also achieve a higher level of accuracy compared to the existing methods.
openaire +2 more sources
Improved matrix algorithms via the Subsampled Randomized Hadamard Transform [PDF]
Christos Boutsidis, Alex Gittens
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The matrix function $e^{tA+B}$ is representable as the Laplace transform\n of a matrix measure [PDF]
Victor Katsnelson
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An asynchronous matrix-vector multiplier for discrete cosine transform [PDF]
Kyeounsoo Kim +2 more
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A STUDY ON THE STRUCTURE OF MATRICES RELATED TO THE VECH*, VECP*, AND VEC OPERATORS
The vec operator is an essential tool in matrix algebra that transforms a matrix into a column vector based on specific rules. This paper introduces two new operators, namely and , which take the main diagonal and supra-diagonal elements of the matrix ...
Nurul Hidayah, Yanita Yanita, Admi Nazra
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Generalized Laplace transform with matrix variables
In the present paper we have extended generalized Laplace transforms of Joshi to the space of m×m symmetric matrices using the confluent hypergeometric function of matrix argument defined by Herz as kernel.
R. M. Joshi, J. M. C. Joshi
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Stable matrices, the Cayley transform, and convergent matrices
The main result is that a square matrix D is convergent (limn→∞Dn=0) if and only if it is the Cayley transform CA=(I−A)−1(I+A) of a stable matrix A, where a stable matrix is one whose characteristic values all have negative real parts.
Tyler Haynes
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