Conceptual

Efficient Algorithms for Unit-Disk-Graph Problems on Convex-Position Points

Polynomial-time exact algorithms for classically NP-hard optimization problems on the unit-disk graph of planar points — minimum dominating set, maximum independent set, discrete k-center, and dispersion — obtained by restricting the points to convex position. The convex ordering induces geometric monotonicity that dynamic programming and geometric data structures exploit to beat prior bounds (e.g. O(kn log n) dominating set, O(n^7/2) maximum independent set).