{"language":[{"iso":"eng"}],"type":"journal_article","_id":"3965","citation":{"chicago":"Wang, Bei, Herbert Edelsbrunner, and Dmitriy Morozov. “Computing Elevation Maxima by Searching the Gauss Sphere.” <i>Journal of Experimental Algorithmics</i>. ACM, 2011. <a href=\"https://doi.org/10.1145/1963190.1970375\">https://doi.org/10.1145/1963190.1970375</a>.","apa":"Wang, B., Edelsbrunner, H., &#38; Morozov, D. (2011). Computing elevation maxima by searching the Gauss sphere. <i>Journal of Experimental Algorithmics</i>. ACM. <a href=\"https://doi.org/10.1145/1963190.1970375\">https://doi.org/10.1145/1963190.1970375</a>","mla":"Wang, Bei, et al. “Computing Elevation Maxima by Searching the Gauss Sphere.” <i>Journal of Experimental Algorithmics</i>, vol. 16, no. 2.2, ACM, 2011, pp. 1–13, doi:<a href=\"https://doi.org/10.1145/1963190.1970375\">10.1145/1963190.1970375</a>.","short":"B. Wang, H. Edelsbrunner, D. Morozov, Journal of Experimental Algorithmics 16 (2011) 1–13.","ieee":"B. Wang, H. Edelsbrunner, and D. Morozov, “Computing elevation maxima by searching the Gauss sphere,” <i>Journal of Experimental Algorithmics</i>, vol. 16, no. 2.2. ACM, pp. 1–13, 2011.","ista":"Wang B, Edelsbrunner H, Morozov D. 2011. Computing elevation maxima by searching the Gauss sphere. Journal of Experimental Algorithmics. 16(2.2), 1–13.","ama":"Wang B, Edelsbrunner H, Morozov D. Computing elevation maxima by searching the Gauss sphere. <i>Journal of Experimental Algorithmics</i>. 2011;16(2.2):1-13. doi:<a href=\"https://doi.org/10.1145/1963190.1970375\">10.1145/1963190.1970375</a>"},"publist_id":"2161","author":[{"first_name":"Bei","full_name":"Wang, Bei","last_name":"Wang"},{"orcid":"0000-0002-9823-6833","id":"3FB178DA-F248-11E8-B48F-1D18A9856A87","full_name":"Edelsbrunner, Herbert","last_name":"Edelsbrunner","first_name":"Herbert"},{"last_name":"Morozov","full_name":"Morozov, Dmitriy","first_name":"Dmitriy"}],"abstract":[{"lang":"eng","text":"The elevation function on a smoothly embedded 2-manifold in R-3 reflects the multiscale topography of cavities and protrusions as local maxima. The function has been useful in identifying coarse docking configurations for protein pairs. Transporting the concept from the smooth to the piecewise linear category, this paper describes an algorithm for finding all local maxima. While its worst-case running time is the same as of the algorithm used in prior work, its performance in practice is orders of magnitudes superior. We cast light on this improvement by relating the running time to the total absolute Gaussian curvature of the 2-manifold."}],"date_published":"2011-05-01T00:00:00Z","intvolume":"        16","oa_version":"None","year":"2011","quality_controlled":"1","volume":16,"status":"public","doi":"10.1145/1963190.1970375","page":"1 - 13","publication_status":"published","day":"01","department":[{"_id":"HeEd"}],"date_updated":"2021-01-12T07:53:31Z","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87","month":"05","publication":"Journal of Experimental Algorithmics","publisher":"ACM","title":"Computing elevation maxima by searching the Gauss sphere","issue":"2.2","date_created":"2018-12-11T12:06:09Z","scopus_import":1}