{"intvolume":" 8125","related_material":{"record":[{"status":"public","id":"11792","relation":"later_version"}]},"language":[{"iso":"eng"}],"quality_controlled":"1","oa":1,"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/1611.05753"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"409 - 420","date_published":"2013-09-01T00:00:00Z","publication_status":"published","day":"01","publication":"21st Annual European Symposium on Algorithms","conference":{"location":"Sophia Antipolis, France","end_date":"2013-09-04","name":"ESA: European Symposium on Algorithms","start_date":"2013-09-02"},"author":[{"last_name":"Dvořák","full_name":"Dvořák, Wolfgang","first_name":"Wolfgang"},{"first_name":"Monika H","orcid":"0000-0002-5008-6530","id":"540c9bbd-f2de-11ec-812d-d04a5be85630","last_name":"Henzinger","full_name":"Henzinger, Monika H"},{"last_name":"Williamson","full_name":"Williamson, David P.","first_name":"David P."}],"doi":"10.1007/978-3-642-40450-4_35","_id":"11792","alternative_title":["LNCS"],"volume":8125,"external_id":{"arxiv":["1611.05753"]},"publisher":"Springer Nature","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"}],"year":"2013","publication_identifier":{"issn":["1611-3349"],"isbn":["9783642404498"]},"oa_version":"Preprint","extern":"1","status":"public","date_created":"2022-08-11T11:18:19Z","citation":{"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","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.","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.","short":"W. Dvořák, M.H. Henzinger, D.P. Williamson, in:, 21st Annual European Symposium on Algorithms, Springer Nature, 2013, pp. 409–420.","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.","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"},"type":"conference","date_updated":"2023-02-21T16:28:24Z","month":"09","title":"Maximizing a submodular function with viability constraints","article_processing_charge":"No","scopus_import":"1"}