Abstract: We propose an algorithm to compute a greatest common divisor (GCD) of univariate polynomials with large integer coefficients on Graphics Processing Units (GPUs). At the highest level, our ...
Polynomials defined on Rings with FLINT has gcd/xgcd method function well implemented, and internally uses half-gcd algorithm as well for fast calculation. However, if the modulus exceeds 2^63 - 1, ...
Abstract: The paper presents a new numerical method for the computation of the greatest common divisor (GCD) of an m-set of polynomials of R[s], P/sub m,d/, of maximal degree d. It is based on a ...
This issue is to keep track of making improvements to gcd calculations with sparse polynomials. Currently sparse polynomial gcd is slow particularly when there are many generators. You can read more ...
Structured low-rank approximation (SLRA) is a mathematical framework that seeks to approximate a given data matrix by another matrix of lower rank while preserving intrinsic structural properties.
ABSTRACT: The task of determining the greatest common divisors (GCD) for several polynomials which arises in image compression, computer algebra and speech encoding can be formulated as a low rank ...
ABSTRACT: The task of determining the greatest common divisors (GCD) for several polynomials which arises in image compression, computer algebra and speech encoding can be formulated as a low rank ...
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