The multipolynomial resultant of a set of equations is fundamental in quantifier elimination over the elementary theory of real and algebraically closed fields. Earlier algorithms for resultant computation and symbolic elimination are considered slow in practice. In this paper we present efficient algorithms to compute multipolynomial resultants and demonstrates their use for polynomial manipulation and symbolic applications. The algorithms utilize the linear algebra formulation of the resultants and combines it multivariate interpolation and modular arithmetic for fast computation. It is currently been implemented as part of a package and we discuss its performance as well
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
Abstract: The problem of eliminating variables from a set of polynomial equations arises in many sym...
A resultant is a purely algebraic criterion for determining when a finite collection of polynomials...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
AbstractResultants characterize the existence of roots of systems of multivariate nonlinear polynomi...
AbstractWe present a new algorithm for the computation of resultants associated with multihomogeneou...
AbstractThis paper deals with some ideas of Bézout and his successors Poisson, Netto and Laurent for...
AbstractWe present a new algorithm for the computation of resultants associated with multihomogeneou...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
Abstract: The problem of eliminating variables from a set of polynomial equations arises in many sym...
A resultant is a purely algebraic criterion for determining when a finite collection of polynomials...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
AbstractResultants characterize the existence of roots of systems of multivariate nonlinear polynomi...
AbstractWe present a new algorithm for the computation of resultants associated with multihomogeneou...
AbstractThis paper deals with some ideas of Bézout and his successors Poisson, Netto and Laurent for...
AbstractWe present a new algorithm for the computation of resultants associated with multihomogeneou...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
AbstractA new algorithm for sparse multivariate polynomial interpolation is presented. It is a multi...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...
In elimination theory, the matrix method of computing resultant remains the most popular due to its ...