Constant-Factor Approximation Algorithms for Convex Cover and Hidden Set in a Simple Polygon
Consider a simple polygon P. What is the minimum number of convex subsets of P are required to completely cover P? This fundamental problem (called Convex Cover) in computational geometry has proven to be frustratingly hard to solve exactly and/or to approximate for over fifty years. In this work, we provide the first constant-factor approximation for Convex Cover. This algorithm runs in (nearly) quadratic time. En route, we also provide a constant-factor approximation algorithm for the Hidden Set problem, where we need to find the maximum number of points inside P which do not see each other. This is the first approximation algorithm for Hidden Set in literature.