AbstractIn this paper, we consider computations involving polynomials with inexact coefficients, i.e. with bounded coefficient errors. The presence of input errors changes the nature of questions traditionally asked in computer algebra. For instance, given two polynomials, instead of trying to compute their greatest common divisor, one might now try to compute a pair of polynomials with a non-trivial common divisor close to the input polynomials. We consider the problem of finding approximate common divisors in the context of inexactly specified polynomials. We develop efficient algorithms for the so-called nearest common divisor problem and several of its variants
We study a variant of the univariate approximate GCD problem, where the coefficients of one polynomi...
This paper presents an algorithm and its implementation for computing the approximate GCD (greatest ...
The computation of the greatest common divisor (GCD) of a set of polynomials has interested the math...
AbstractIn this paper, we consider computations involving polynomials with inexact coefficients, i.e...
We present an iterative algorithm for calculating approximate greatest common divisor (GCD) of univa...
AbstractWe study the approximate GCD of two univariate polynomials given with limited accuracy or, e...
summary:The computation of polynomial greatest common divisor (GCD) ranks among basic algebraic prob...
summary:The computation of polynomial greatest common divisor (GCD) ranks among basic algebraic prob...
AbstractWe describe two algorithms of approximate GCD (greatest common divisor) for polynomials with...
AbstractWe present some results on approximate GCD for univariate polynomials: given n polynomials P...
AbstractThe computation of the greatest common divisor (GCD) of many polynomials is a nongeneric pro...
AbstractSymbolic numeric algorithms for polynomials are very important, especially for practical com...
summary:The computation of polynomial greatest common divisor (GCD) ranks among basic algebraic prob...
Computing the greatest common divisor (GCD) for two polynomials in floating point arithmetic is comp...
We study a variant of the univariate approximate GCD problem, where the coefficients of one polynomi...
We study a variant of the univariate approximate GCD problem, where the coefficients of one polynomi...
This paper presents an algorithm and its implementation for computing the approximate GCD (greatest ...
The computation of the greatest common divisor (GCD) of a set of polynomials has interested the math...
AbstractIn this paper, we consider computations involving polynomials with inexact coefficients, i.e...
We present an iterative algorithm for calculating approximate greatest common divisor (GCD) of univa...
AbstractWe study the approximate GCD of two univariate polynomials given with limited accuracy or, e...
summary:The computation of polynomial greatest common divisor (GCD) ranks among basic algebraic prob...
summary:The computation of polynomial greatest common divisor (GCD) ranks among basic algebraic prob...
AbstractWe describe two algorithms of approximate GCD (greatest common divisor) for polynomials with...
AbstractWe present some results on approximate GCD for univariate polynomials: given n polynomials P...
AbstractThe computation of the greatest common divisor (GCD) of many polynomials is a nongeneric pro...
AbstractSymbolic numeric algorithms for polynomials are very important, especially for practical com...
summary:The computation of polynomial greatest common divisor (GCD) ranks among basic algebraic prob...
Computing the greatest common divisor (GCD) for two polynomials in floating point arithmetic is comp...
We study a variant of the univariate approximate GCD problem, where the coefficients of one polynomi...
We study a variant of the univariate approximate GCD problem, where the coefficients of one polynomi...
This paper presents an algorithm and its implementation for computing the approximate GCD (greatest ...
The computation of the greatest common divisor (GCD) of a set of polynomials has interested the math...