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In computational geometry, the Bentley–Ottmann algorithm is a sweep line algorithm for listing all crossings in a set of line segments, i.e. it finds the intersection points (or, simply, intersections) of line segments. It extends the , a similar previous algorithm for testing whether or not a set of line segments has any crossings. For an input consisting of line segments with crossings (or intersections), the Bentley–Ottmann algorithm takes time . In cases where , this is an improvement on a naïve algorithm that tests every pair of segments, which takes .

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  • Bentley–Ottmann algorithm (en)
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  • In computational geometry, the Bentley–Ottmann algorithm is a sweep line algorithm for listing all crossings in a set of line segments, i.e. it finds the intersection points (or, simply, intersections) of line segments. It extends the , a similar previous algorithm for testing whether or not a set of line segments has any crossings. For an input consisting of line segments with crossings (or intersections), the Bentley–Ottmann algorithm takes time . In cases where , this is an improvement on a naïve algorithm that tests every pair of segments, which takes . (en)
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  • In computational geometry, the Bentley–Ottmann algorithm is a sweep line algorithm for listing all crossings in a set of line segments, i.e. it finds the intersection points (or, simply, intersections) of line segments. It extends the , a similar previous algorithm for testing whether or not a set of line segments has any crossings. For an input consisting of line segments with crossings (or intersections), the Bentley–Ottmann algorithm takes time . In cases where , this is an improvement on a naïve algorithm that tests every pair of segments, which takes . The algorithm was initially developed by Jon Bentley and Thomas Ottmann; it is described in more detail in the textbooks , , and . Although asymptotically faster algorithms are now known by and , the Bentley–Ottmann algorithm remains a practical choice due to its simplicity and low memory requirements. (en)
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