A baby steps/giant steps Monte Carlo algorithm for computing roadmaps in smooth compact real hypersurfaces

dc.creatorDin, Mohab Safey El
dc.creatorSchost, Éric
dc.date2009-02-10
dc.date.accessioned2026-07-07T13:05:31Z
dc.date.available2026-07-07T13:05:31Z
dc.descriptionWe consider the problem of constructing roadmaps of real algebraic sets. The problem was introduced by Canny to answer connectivity questions and solve motion planning problems. Given $s$ polynomial equations with rational coefficients, of degree $D$ in $n$ variables, Canny's algorithm has a Monte Carlo cost of $s^n\log(s) D^{O(n^2)}$ operations in $\mathbb{Q}$; a deterministic version runs in time $s^n \log(s) D^{O(n^4)}$. The next improvement was due to Basu, Pollack and Roy, with an algorithm of deterministic cost $s^{d+1} D^{O(n^2)}$ for the more general problem of computing roadmaps of semi-algebraic sets ($d \le n$ is the dimension of an associated object). We give a Monte Carlo algorithm of complexity $(nD)^{O(n^{1.5})}$ for the problem of computing a roadmap of a compact hypersurface $V$ of degree $D$ in $n$ variables; we also have to assume that $V$ has a finite number of singular points. Even under these extra assumptions, no previous algorithm featured a cost better than $D^{O(n^2)}$.
dc.identifierhttps://arxiv.org/abs/0902.1612
dc.identifierhttp://arxiv.org/abs/0902.1612
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/227513
dc.subjectSymbolic Computation
dc.titleA baby steps/giant steps Monte Carlo algorithm for computing roadmaps in smooth compact real hypersurfaces
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