Given a planar convex set C, we give sublinear approximation algorithms to determine approximations of the largest axially symmetric convex set S contained in C, and the smallest such set S′ that contains C. More precisely, for any ε>0, we find an axially symmetric convex polygon Q⊂C with area |Q|>(1-ε)|S| and we find an axially symmetric convex polygon Q′ containing C with area |Q′|<(1+ε)|S′|. We assume that C is given in a data structure that allows to answer the following two types of query in time C T: given a direction u, find an extreme point of C in direction u, and given a line ℓ, find C∩ℓ. For instance, if C is a convex n-gon and its vertices are given in a sorted array, then C T=O(logn). Then we can find Q and Q′ in time O(ε -1/2C T+ε -3/2). Using these techniques, we can also find approximations to the perimeter, area, diameter, width, smallest enclosing rectangle and smallest enclosing circle of C in time O(ε -1/2C T). © 2005 Elsevier B.V.
Ahn, H. K., Brass, P., Cheong, O., Na, H. S., Shin, C. S., & Vigneron, A. (2006). Inscribing an axially symmetric polygon and other approximation algorithms for planar convex sets. Computational Geometry: Theory and Applications, 33(3), 152–164. https://doi.org/10.1016/j.comgeo.2005.06.001