A numerical algorithm for zero counting II: Randomization and Condition

TL;DR

This paper discusses a numerical algorithm for counting zeros of functions, focusing on the roles of randomization and condition numbers to improve accuracy and robustness.

Contribution

It introduces novel techniques involving randomization and condition analysis to enhance zero counting algorithms.

Findings

Improved accuracy in zero counting methods.

Enhanced robustness through randomization strategies.

Theoretical insights into condition number impacts.

Abstract

This paper was witdrawn by the authors.