{"language":[{"iso":"eng"}],"ec_funded":1,"day":"28","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","quality_controlled":"1","month":"08","page":"104 - 116","_id":"1375","main_file_link":[{"url":"http://arxiv.org/abs/1307.4473","open_access":"1"}],"publist_id":"5836","publication_status":"published","date_updated":"2022-09-09T11:50:58Z","doi":"10.1016/j.tcs.2014.06.031","article_type":"original","title":"Approximating the minimum cycle mean","department":[{"_id":"KrCh"}],"external_id":{"arxiv":["1307.4473"]},"article_processing_charge":"No","author":[{"full_name":"Chatterjee, Krishnendu","orcid":"0000-0002-4561-241X","last_name":"Chatterjee","first_name":"Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Henzinger","orcid":"0000-0002-5008-6530","full_name":"Henzinger, Monika H","id":"540c9bbd-f2de-11ec-812d-d04a5be85630","first_name":"Monika H"},{"first_name":"Sebastian","full_name":"Krinninger, Sebastian","last_name":"Krinninger"},{"first_name":"Veronika","last_name":"Loitzenbauer","full_name":"Loitzenbauer, Veronika"},{"first_name":"Michael","last_name":"Raskin","full_name":"Raskin, Michael"}],"publisher":"Elsevier","intvolume":" 547","date_created":"2018-12-11T11:51:40Z","oa":1,"abstract":[{"text":"We consider directed graphs where each edge is labeled with an integer weight and study the fundamental algorithmic question of computing the value of a cycle with minimum mean weight. Our contributions are twofold: (1) First we show that the algorithmic question is reducible to the problem of a logarithmic number of min-plus matrix multiplications of n×n-matrices, where n is the number of vertices of the graph. (2) Second, when the weights are nonnegative, we present the first (1+ε)-approximation algorithm for the problem and the running time of our algorithm is Õ(nωlog3(nW/ε)/ε),1 where O(nω) is the time required for the classic n×n-matrix multiplication and W is the maximum value of the weights. With an additional O(log(nW/ε)) factor in space a cycle with approximately optimal weight can be computed within the same time bound.","lang":"eng"}],"citation":{"ista":"Chatterjee K, Henzinger MH, Krinninger S, Loitzenbauer V, Raskin M. 2014. Approximating the minimum cycle mean. Theoretical Computer Science. 547(C), 104–116.","ama":"Chatterjee K, Henzinger MH, Krinninger S, Loitzenbauer V, Raskin M. Approximating the minimum cycle mean. Theoretical Computer Science. 2014;547(C):104-116. doi:10.1016/j.tcs.2014.06.031","ieee":"K. Chatterjee, M. H. Henzinger, S. Krinninger, V. Loitzenbauer, and M. Raskin, “Approximating the minimum cycle mean,” Theoretical Computer Science, vol. 547, no. C. Elsevier, pp. 104–116, 2014.","mla":"Chatterjee, Krishnendu, et al. “Approximating the Minimum Cycle Mean.” Theoretical Computer Science, vol. 547, no. C, Elsevier, 2014, pp. 104–16, doi:10.1016/j.tcs.2014.06.031.","chicago":"Chatterjee, Krishnendu, Monika H Henzinger, Sebastian Krinninger, Veronika Loitzenbauer, and Michael Raskin. “Approximating the Minimum Cycle Mean.” Theoretical Computer Science. Elsevier, 2014. https://doi.org/10.1016/j.tcs.2014.06.031.","short":"K. Chatterjee, M.H. Henzinger, S. Krinninger, V. Loitzenbauer, M. Raskin, Theoretical Computer Science 547 (2014) 104–116.","apa":"Chatterjee, K., Henzinger, M. H., Krinninger, S., Loitzenbauer, V., & Raskin, M. (2014). Approximating the minimum cycle mean. Theoretical Computer Science. Elsevier. https://doi.org/10.1016/j.tcs.2014.06.031"},"date_published":"2014-08-28T00:00:00Z","volume":547,"type":"journal_article","publication":"Theoretical Computer Science","year":"2014","status":"public","scopus_import":"1","issue":"C","oa_version":"Preprint","project":[{"grant_number":"P 23499-N23","name":"Modern Graph Algorithmic Techniques in Formal Verification","call_identifier":"FWF","_id":"2584A770-B435-11E9-9278-68D0E5697425"},{"grant_number":"S11407","name":"Game Theory","_id":"25863FF4-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"call_identifier":"FP7","_id":"2581B60A-B435-11E9-9278-68D0E5697425","name":"Quantitative Graph Games: Theory and Applications","grant_number":"279307"},{"name":"Microsoft Research Faculty Fellowship","_id":"2587B514-B435-11E9-9278-68D0E5697425"}]}