AbstractWe present a new practicable method for approximating all real zeros of polynomial systems using the resultants method. It is based on the theory of multi-resultants. We build a sparse linear system. Then, we solve it by the quasi-minimal residual method. Once our test function changes its sign, we apply the secant method to approximate the root. The unstable calculation of the determinant of the large sparse matrix is replaced by solving a sparse linear system. This technique will be able to take advantage of the sparseness of the resultant matrix. Theoretical and numerical results are presented
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
Multivariate systems of polynomial equations find their applications in various fields of science an...
AbstractA globally convergent matrix algorithm is presented for finding the real and complex zeros o...
AbstractWe present a new practicable method for approximating all real zeros of polynomial systems u...
AbstractResultants characterize the existence of roots of systems of multivariate nonlinear polynomi...
Resultants characterize the existence of roots of systems of multivariate nonlinear polynomial equat...
Resultants characterize the existence of roots of systems of multivariate nonlinear polynomial equat...
The resultant matrix of a polynomial system depends on the geometry of its input Newton polytopes. T...
AbstractThis paper deals with some ideas of Bézout and his successors Poisson, Netto and Laurent for...
The method of finding the solutions of a system of non-linear polynomial equations has received a lo...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
AbstractWe create a new resultant for determining the presence and number of reciprocal zeros in a g...
Multivariate systems of polynomial equations find their applications in various fields of science an...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
Multivariate systems of polynomial equations find their applications in various fields of science an...
AbstractA globally convergent matrix algorithm is presented for finding the real and complex zeros o...
AbstractWe present a new practicable method for approximating all real zeros of polynomial systems u...
AbstractResultants characterize the existence of roots of systems of multivariate nonlinear polynomi...
Resultants characterize the existence of roots of systems of multivariate nonlinear polynomial equat...
Resultants characterize the existence of roots of systems of multivariate nonlinear polynomial equat...
The resultant matrix of a polynomial system depends on the geometry of its input Newton polytopes. T...
AbstractThis paper deals with some ideas of Bézout and his successors Poisson, Netto and Laurent for...
The method of finding the solutions of a system of non-linear polynomial equations has received a lo...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
AbstractWe create a new resultant for determining the presence and number of reciprocal zeros in a g...
Multivariate systems of polynomial equations find their applications in various fields of science an...
AbstractWe propose a new and efficient algorithm for computing the sparse resultant of a system of n...
Multivariate systems of polynomial equations find their applications in various fields of science an...
AbstractA globally convergent matrix algorithm is presented for finding the real and complex zeros o...