{"_id":"11792","extern":"1","conference":{"name":"ESA: European Symposium on Algorithms","start_date":"2013-09-02","end_date":"2013-09-04","location":"Sophia Antipolis, France"},"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"conference","date_updated":"2023-02-21T16:28:24Z","oa_version":"Preprint","doi":"10.1007/978-3-642-40450-4_35","publication":"21st Annual European Symposium on Algorithms","external_id":{"arxiv":["1611.05753"]},"publisher":"Springer Nature","publication_status":"published","alternative_title":["LNCS"],"month":"09","date_created":"2022-08-11T11:18:19Z","scopus_import":"1","quality_controlled":"1","date_published":"2013-09-01T00:00:00Z","volume":8125,"publication_identifier":{"issn":["1611-3349"],"isbn":["9783642404498"]},"article_processing_charge":"No","title":"Maximizing a submodular function with viability constraints","related_material":{"record":[{"id":"11792","status":"public","relation":"later_version"}]},"intvolume":" 8125","citation":{"mla":"Dvořák, Wolfgang, et al. “Maximizing a Submodular Function with Viability Constraints.” 21st Annual European Symposium on Algorithms, vol. 8125, Springer Nature, 2013, pp. 409–20, doi:10.1007/978-3-642-40450-4_35.","ista":"Dvořák W, Henzinger MH, Williamson DP. 2013. Maximizing a submodular function with viability constraints. 21st Annual European Symposium on Algorithms. ESA: European Symposium on Algorithms, LNCS, vol. 8125, 409–420.","ieee":"W. Dvořák, M. H. Henzinger, and D. P. Williamson, “Maximizing a submodular function with viability constraints,” in 21st Annual European Symposium on Algorithms, Sophia Antipolis, France, 2013, vol. 8125, pp. 409–420.","short":"W. Dvořák, M.H. Henzinger, D.P. Williamson, in:, 21st Annual European Symposium on Algorithms, Springer Nature, 2013, pp. 409–420.","chicago":"Dvořák, Wolfgang, Monika H Henzinger, and David P. Williamson. “Maximizing a Submodular Function with Viability Constraints.” In 21st Annual European Symposium on Algorithms, 8125:409–20. Springer Nature, 2013. https://doi.org/10.1007/978-3-642-40450-4_35.","apa":"Dvořák, W., Henzinger, M. H., & Williamson, D. P. (2013). Maximizing a submodular function with viability constraints. In 21st Annual European Symposium on Algorithms (Vol. 8125, pp. 409–420). Sophia Antipolis, France: Springer Nature. https://doi.org/10.1007/978-3-642-40450-4_35","ama":"Dvořák W, Henzinger MH, Williamson DP. Maximizing a submodular function with viability constraints. In: 21st Annual European Symposium on Algorithms. Vol 8125. Springer Nature; 2013:409-420. doi:10.1007/978-3-642-40450-4_35"},"main_file_link":[{"url":"https://arxiv.org/abs/1611.05753","open_access":"1"}],"page":"409 - 420","language":[{"iso":"eng"}],"day":"01","author":[{"full_name":"Dvořák, Wolfgang","last_name":"Dvořák","first_name":"Wolfgang"},{"orcid":"0000-0002-5008-6530","last_name":"Henzinger","first_name":"Monika H","id":"540c9bbd-f2de-11ec-812d-d04a5be85630","full_name":"Henzinger, Monika H"},{"full_name":"Williamson, David P.","first_name":"David P.","last_name":"Williamson"}],"year":"2013","oa":1,"abstract":[{"text":"We study the problem of maximizing a monotone submodular function with viability constraints. This problem originates from computational biology, where we are given a phylogenetic tree over a set of species and a directed graph, the so-called food web, encoding viability constraints between these species. These food webs usually have constant depth. The goal is to select a subset of k species that satisfies the viability constraints and has maximal phylogenetic diversity. As this problem is known to be NP-hard, we investigate approximation algorithm. We present the first constant factor approximation algorithm if the depth is constant. Its approximation ratio is (1−1𝑒√). This algorithm not only applies to phylogenetic trees with viability constraints but for arbitrary monotone submodular set functions with viability constraints. Second, we show that there is no (1 − 1/e + ε)-approximation algorithm for our problem setting (even for additive functions) and that there is no approximation algorithm for a slight extension of this setting.","lang":"eng"}]}