An iterative method is described which finds all the roots of a square-free polynomial at once, using the original coefficients in each step (thus minimizing round off error). Since the iteration is basically Newton's, the usual convergence criteria and quadratic-convergence behavior obtain. Except for the facts about polynomial coefficients and contraction mappings, the paper is self-contained.Technical report DCS-TR-1
We study the relaxed Newton's method applied to polynomials. In particular, we give a technique such...
Abstract Two new iterative methods for the simultaneous determination of all multiple as well as dis...
AbstractThree methods of terminating polynomial root-finding iterations are compared, one based on e...
AbstractWe give new proofs of some known results concerning an iterative method of Newton type for t...
summary:In this paper the method for simultaneous finding of all the roots of a polynomial is derive...
Computing the real roots of a polynomial is a fundamental problem of computational algebra. We descr...
This program uses Bairstow's method to find the real and complex roots of a polynomial with real co...
Computing the real roots of a polynomial is a fundamental problem of computational algebra. We descr...
A more robust root finding technique using the fixed point theory is developed. This is based on the...
AbstractWe derive a local geometric property of an analytic function ƒ, and, in the case where ƒ is ...
AbstractThe square-root iteration as presented by Ostrowski ([1], p. 110) for the real case can be e...
The place of numerical approaches in determining the roots of polynomials cannot be overlooked. This...
We investigate Newton's method for complex polynomials of arbitrary degree d, normalized so that all...
We introduce a new iterative root-finding method for complex polynomials, dubbed Newton-Ellipsoid me...
Abstract A highly efficient new three-step derivative-free family of numerical iterative schemes for...
We study the relaxed Newton's method applied to polynomials. In particular, we give a technique such...
Abstract Two new iterative methods for the simultaneous determination of all multiple as well as dis...
AbstractThree methods of terminating polynomial root-finding iterations are compared, one based on e...
AbstractWe give new proofs of some known results concerning an iterative method of Newton type for t...
summary:In this paper the method for simultaneous finding of all the roots of a polynomial is derive...
Computing the real roots of a polynomial is a fundamental problem of computational algebra. We descr...
This program uses Bairstow's method to find the real and complex roots of a polynomial with real co...
Computing the real roots of a polynomial is a fundamental problem of computational algebra. We descr...
A more robust root finding technique using the fixed point theory is developed. This is based on the...
AbstractWe derive a local geometric property of an analytic function ƒ, and, in the case where ƒ is ...
AbstractThe square-root iteration as presented by Ostrowski ([1], p. 110) for the real case can be e...
The place of numerical approaches in determining the roots of polynomials cannot be overlooked. This...
We investigate Newton's method for complex polynomials of arbitrary degree d, normalized so that all...
We introduce a new iterative root-finding method for complex polynomials, dubbed Newton-Ellipsoid me...
Abstract A highly efficient new three-step derivative-free family of numerical iterative schemes for...
We study the relaxed Newton's method applied to polynomials. In particular, we give a technique such...
Abstract Two new iterative methods for the simultaneous determination of all multiple as well as dis...
AbstractThree methods of terminating polynomial root-finding iterations are compared, one based on e...