2025/08/28 by Jesse Elliott, Elliott, Jesse, Mark Giesbrecht +7
Computer Science · #FOS: Computer and information sciences #Symbolic Computation (cs.SC) #cs.SC
paper · pdf · doi:10.48550/arxiv.2508.20607
published as Journal of Symbolic Computation, 2026, 138
arxiv created 2026/07/30 · arxiv updated 2026/07/31
We refine the bit complexity analysis of an algorithm for the computation of at least one point per connected component of a smooth real algebraic set, yielding exponential speedup (with respect to the number of variables) compared to prior works. The algorithm which is analyzed is based on the critical point method, reducing the problem to computations of critical points associated to the restriction of generic projections on lines to the studied variety. Our refinement, and the subsequent improved complexity statement, comes from a better utilization of the multi-affine structure of polynomial systems encoding these sets of critical points. The bit-size estimates on the size of the output produced by this algorithm are also improved by this refinement.