Abstract
In this paper, we develop a simple and novel method for determining a sharp upper bound on the distance of a given approximate zero from an exact zero of a univariate polynomial. The computed bounds are scalable in the sense that we can compute sharper error bounds for better given approximations of zeros. We analyse the convergence of our method. We use requisite high precision computations for computing our bounds correctly and robustly.
Acknowledgement
Sudebkumar Prasant Pal acknowledges the partial support of a research grant from All India Council for Technical Education, New Delhi, India.