Divide and Conquer Roadmap for Algebraic Sets
Saugata Basu, Marie-Francoise Roy

TL;DR
This paper introduces a new algorithm for constructing roadmaps of algebraic sets with improved complexity bounds, enabling efficient connectivity analysis of real algebraic varieties.
Contribution
It presents a divide-and-conquer algorithm for roadmap computation with significantly better complexity bounds than previous methods.
Findings
Algorithm computes roadmaps with complexity depending on degrees and number of points
Provides upper bounds on path length and complexity in real algebraic sets
Improves upon previous algorithms by reducing dependence on the number of points
Abstract
Let be a real closed field, and an ordered domain. We describe an algorithm that given as input a polynomial , and a finite set, , of points contained in described by real univariate representations, computes a roadmap of containing . The complexity of the algorithm, measured by the number of arithmetic operations in is bounded by , where , and is the degree of the real univariate representation describing the point . The best previous algorithm for this problem had complexity due to Basu, Roy,…
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