{"day":"01","status":"public","year":"2015","publisher":"Springer Nature","date_published":"2015-01-01T00:00:00Z","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","department":[{"_id":"HeEd"}],"article_processing_charge":"No","month":"01","date_created":"2018-12-11T11:52:46Z","citation":{"chicago":"Edelsbrunner, Herbert. “Shape, Homology, Persistence, and Stability.” In <i>23rd International Symposium</i>, Vol. 9411. Springer Nature, 2015.","ista":"Edelsbrunner H. 2015. Shape, homology, persistence, and stability. 23rd International Symposium. GD: Graph Drawing and Network Visualization, LNCS, vol. 9411.","apa":"Edelsbrunner, H. (2015). Shape, homology, persistence, and stability. In <i>23rd International Symposium</i> (Vol. 9411). Los Angeles, CA, United States: Springer Nature.","short":"H. Edelsbrunner, in:, 23rd International Symposium, Springer Nature, 2015.","ama":"Edelsbrunner H. Shape, homology, persistence, and stability. In: <i>23rd International Symposium</i>. Vol 9411. Springer Nature; 2015.","mla":"Edelsbrunner, Herbert. “Shape, Homology, Persistence, and Stability.” <i>23rd International Symposium</i>, vol. 9411, Springer Nature, 2015.","ieee":"H. Edelsbrunner, “Shape, homology, persistence, and stability,” in <i>23rd International Symposium</i>, Los Angeles, CA, United States, 2015, vol. 9411."},"scopus_import":"1","quality_controlled":"1","alternative_title":["LNCS"],"title":"Shape, homology, persistence, and stability","_id":"1567","author":[{"orcid":"0000-0002-9823-6833","first_name":"Herbert","full_name":"Edelsbrunner, Herbert","id":"3FB178DA-F248-11E8-B48F-1D18A9856A87","last_name":"Edelsbrunner"}],"conference":{"start_date":"2015-09-24","end_date":"2015-09-26","location":"Los Angeles, CA, United States","name":"GD: Graph Drawing and Network Visualization"},"abstract":[{"text":"My personal journey to the fascinating world of geometric forms started more than 30 years ago with the invention of alpha shapes in the plane. It took about 10 years before we generalized the concept to higher dimensions, we produced working software with a graphics interface for the three-dimensional case. At the same time, we added homology to the computations. Needless to say that this foreshadowed the inception of persistent homology, because it suggested the study of filtrations to capture the scale of a shape or data set. Importantly, this method has fast algorithms. The arguably most useful result on persistent homology is the stability of its diagrams under perturbations.","lang":"eng"}],"oa_version":"None","publication":"23rd International Symposium","publication_status":"published","type":"conference","date_updated":"2022-01-28T08:25:00Z","publist_id":"5604","volume":9411,"language":[{"iso":"eng"}],"intvolume":"      9411"}