This post records a variant to the question asked in this post: Finding the point within a convex n-gon that maximizes the least angle subtended there by an edge of the n-gon
- Given a convex n-gon, how does one algorithmically find the interior point that minimizes the maximum angle subtended at the point by an edge of the polygon? Is the optimal point always unique?
Remark 1: It is easy to see that the answers to the present question and the above linked one of trying to maximize the least angle subtended could be different. For example, consider a regular n-gon - for which both questions have the centroid as the optimal point - and make it a convex n+1-gon by adding a vertex close to one of the n pre-existing vertices. Now, for sufficiently large n, the interior point minimizing the max subtended angle remains at the centroid but the point maximizing the smallest subtended angle moves towards the newly added short edge.
Remark 2: If the convex point is a triangle, the interior point that minimizes the largest angle subtended there by an edge is unique and is the Steiner point.
Remark 3: Further variants that seek interior point(s) minimizing the range of angles subtended there by the edges or the standard deviation among the angles subtended there by the edges could also be considered.