{"publication_identifier":{"issn":["0196-6774"],"eissn":["1090-2678"]},"month":"06","year":"1985","intvolume":" 6","citation":{"ista":"Edelsbrunner H. 1985. Computing the extreme distances between two convex polygons. Journal of Algorithms. 6(2), 213–224.","apa":"Edelsbrunner, H. (1985). Computing the extreme distances between two convex polygons. Journal of Algorithms. Academic Press. https://doi.org/10.1016/0196-6774(85)90039-2","chicago":"Edelsbrunner, Herbert. “Computing the Extreme Distances between Two Convex Polygons.” Journal of Algorithms. Academic Press, 1985. https://doi.org/10.1016/0196-6774(85)90039-2.","ama":"Edelsbrunner H. Computing the extreme distances between two convex polygons. Journal of Algorithms. 1985;6(2):213-224. doi:10.1016/0196-6774(85)90039-2","ieee":"H. Edelsbrunner, “Computing the extreme distances between two convex polygons,” Journal of Algorithms, vol. 6, no. 2. Academic Press, pp. 213–224, 1985.","mla":"Edelsbrunner, Herbert. “Computing the Extreme Distances between Two Convex Polygons.” Journal of Algorithms, vol. 6, no. 2, Academic Press, 1985, pp. 213–24, doi:10.1016/0196-6774(85)90039-2.","short":"H. Edelsbrunner, Journal of Algorithms 6 (1985) 213–224."},"extern":"1","date_published":"1985-06-01T00:00:00Z","title":"Computing the extreme distances between two convex polygons","quality_controlled":"1","issue":"2","doi":"10.1016/0196-6774(85)90039-2","page":"213 - 224","type":"journal_article","article_type":"original","oa_version":"None","date_updated":"2022-01-31T10:44:41Z","publist_id":"2007","status":"public","author":[{"first_name":"Herbert","orcid":"0000-0002-9823-6833","last_name":"Edelsbrunner","full_name":"Edelsbrunner, Herbert","id":"3FB178DA-F248-11E8-B48F-1D18A9856A87"}],"day":"01","publisher":"Academic Press","user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","article_processing_charge":"No","publication_status":"published","publication":"Journal of Algorithms","language":[{"iso":"eng"}],"scopus_import":"1","_id":"4115","abstract":[{"text":"A polygon in the plane is convex if it contains all line segments connecting any two of its points. Let P and Q denote two convex polygons. The computational complexity of finding the minimum and maximum distance possible between two points p in P and q in Q is studied. An algorithm is described that determines the minimum distance (together with points p and q that realize it) in O(logm + logn) time, where m and n denote the number of vertices of P and Q, respectively. This is optimal in the worst case. For computing the maximum distance, a lower bound Ω(m + n) is proved. This bound is also shown to be best possible by establishing an upper bound of O(m + n).","lang":"eng"}],"volume":6,"date_created":"2018-12-11T12:07:01Z"}