CGAL 4.11  2D Intersection of Curves

Let \( {\mathcal C} = \{C_1, C_2, \ldots, C_n\}\) be a set of curves. We wish to compute all intersection points between two curves in the set in an outputsensitive manner, without having to go over all \( O(n^2)\) curve pairs. To this end, we sweep an imaginary line \( l\) from \( x = \infty\) to \( x = \infty\) over the plane. While sweeping the plane, we keep track of the order of curves intersecting it. This order changes at a finite number of event points, such that we only have to calculate the intersection points between two curves when they become contiguous. For more details on the sweepline algorithm see, for example, [1], Chapter 2.
This chapter describes three functions implemented using the sweepline algorithm: given a collection of input curves, compute all intersection points, compute the set of subcurves that are pairwise interiordisjoint induced by them, and checking whether there is at least one pair of curves among them that intersect in their interior.
The implementation is robust. It supports general curves and handles all degenerate cases, including overlapping curves, vertical segments, and tangency between curves. The robustness of the algorithm is guaranteed if the functions are instantiated with a traits class that employs certified computations. This traits class must be a model of the ArrangementTraits_2
concept  see the Chapter 2D Arrangements for more details.
The complexity of the sweepline algorithm is \( O((n + k)\log{n})\) where \( n\) is the number of the input curves and \( k\) is the number of intersection points induced by these curves.
The simple program listed below computes intersection points induced by a set of four input segments illustrated in Figure 34.1.
File Sweep_line_2/sweep_line.cpp
The current version of the sweepline algorithm was written by Baruch Zukerman, based on previous implementations by Ester Ezra and Tali Zvi.