Input |
Output |

**Input Description:** A set of lines and line segments \(l_1,...,\l_n\). **Problem:** What is the decomposition of the plane defined by \(l_1,...,\l_n\)?

**Excerpt from** The Algorithm Design Manual: One of the most fundamental problems in computational geometry is constructing arrangements of lines, that is, explicitly building the regions formed by the intersections of a set of \(n\) lines. Algorithms for a surprising number of problems are based on constructing and analyzing the arrangement of a specific set of lines:

*Degeneracy testing*-- Given a set of \(n\) lines in the plane, do any three of them pass through the same point? Brute-force testing of all triples takes \(O(n^{3})\) time. Instead, we can construct the arrangement of the lines and then walk over each vertex and explicitly count its degree, all in quadratic time.*Satisfying the maximum number of linear constraints*-- Suppose that we are given a set of \(n\) linear constraints, each of the form \(y less and or equal to a_{i}x + b_{i}\). Which point in the plane satisfies the largest number of them? Construct the arrangement of the lines. All points in any region or*cell*of this arrangement satisfy exactly the same set of constraints, so we need to test only one point per cell in order to find the global maximum.

cgal (rating 10) |
Topological Sweep in Degenerate Cases (rating 9) |

CGAL (rating 8) |
Arrange (rating 7) |

LEDA (rating 4) |

Davenport-Schinzel sequences and their geometric applications by M. Sharir and P. Agarwal | Computational Geometry in C by Joseph O'Rourke | Algorithms in Combinatorial Geometry by Herbert Edelsbrunner |

Robust Geometric Primitives |
Intersection Detection |
Point Location |

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