Adaptive Data Structures for 2D Dominance Colored Range Counting
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38906-1_30
Reference20 articles.
1. Chan, T.M., He, Q., Nekrich, Y.: Further results on colored range searching. In: 36th International Symposium on Computational Geometry, SoCG 2020, vol. 164, pp. 1–15. Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020). https://doi.org/10.4230/LIPICS.SOCG.2020.28
2. Chan, T.M., Larsen, K.G., Pătraşcu, M.: Orthogonal range searching on the RAM, revisited. In: 27th International Symposium on Computational Geometry, SoCG 2011, pp. 1–10. ACM (2011). https://doi.org/10.1145/1998196.1998198
3. Chan, T.M., Nekrich, Y.: Better data structures for colored orthogonal range reporting. In: Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pp. 627–636. Society for Industrial and Applied Mathematics (2020). https://doi.org/10.1137/1.9781611975994.38
4. Chan, T.M., Wilkinson, B.T.: Adaptive and approximate orthogonal range counting. ACM Trans. Algorithms 12(4), 1–15 (2016). https://doi.org/10.1145/2830567
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