Results 261 to 270 of about 165,252 (290)

Multiplication of Polynomials over Finite Fields

SIAM Journal on Computing, 1990
Let GF(q) denote the Galois field on q elements, and let n denote a positive integer. Let \(\mu_ q(n)\) be the number of multiplications/divisions required to compute the coefficients of the product of a polynomial of degree \(n-1\) and a polynomial of degree n over GF(q) by means of linear algorithms.
Bshouty, Nader H., Kaminski, Michael
openaire   +1 more source

On multiple $��_��$-Appell polynomials

2018
15 ...
Sadjang, P. Njionou, Mboutngam, S.
openaire   +1 more source

Bivariate polynomial multiplication patterns

1995
Motivated by multiplication of numerical univariate polynomials with various kinds of truncation we study corresponding bivariate problems A(x, y)·B(x, y) = C(x, y) in the algebraic setting with indeterminate coefficients over suitable ground fields, counting essential multiplications only.
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Solving Multiple-Root Polynomials

IEEE Antennas and Propagation Magazine, 2009
A given polynomial is transformed herein into a rational function. All the roots and multiplicities of the polynomial are then easily obtained from the poles and residues of this rational function, instead of solving for them directly using the original, high-degree multiple-root polynomial.
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Convolution and Polynomial Multiplication

1988
Convolution, or digital filtering, is one of the most common operations used in modern signal processing. Aperiodic convolution can be expressed as a product of polynomials, and cyclic convolution, commonly used in block filtering techniques, is equivalent to a product in a polynomial ring.
openaire   +1 more source

Exceptional points in lossy media lead to deep polynomial wave penetration with spatially uniform power loss

Nature Nanotechnology, 2022
Alexander Yulaev, Sangsik Kim, Qing Li
exaly  

Simple Local Polynomial Density Estimators

Journal of the American Statistical Association, 2020
Matias D Cattaneo, Michael Jansson
exaly  

A Polynomial Kernel Induced Distance Metric to Improve Deep Transfer Learning for Fault Diagnosis of Machines

IEEE Transactions on Industrial Electronics, 2020
Bin Yang, Yaguo Lei, Feng Jia
exaly  

The kernel polynomial method

Reviews of Modern Physics, 2006
Gerhard Wellein, Andreas Alvermann, Holger Fehske   +2 more
exaly  

Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics

Annual Review of Fluid Mechanics, 2009
Habib N Najm
exaly