{"external_id":{"arxiv":["2011.00977"]},"language":[{"iso":"eng"}],"_id":"11756","publication":"Information and Computation","status":"public","day":"01","date_created":"2022-08-08T10:58:29Z","scopus_import":"1","publication_identifier":{"issn":["0890-5401"]},"article_number":"104805","month":"12","date_published":"2021-12-01T00:00:00Z","article_processing_charge":"No","publication_status":"published","author":[{"last_name":"Henzinger","id":"540c9bbd-f2de-11ec-812d-d04a5be85630","orcid":"0000-0002-5008-6530","full_name":"Henzinger, Monika H","first_name":"Monika H"},{"last_name":"Peng","first_name":"Pan","full_name":"Peng, Pan"}],"publisher":"Elsevier","oa_version":"Preprint","article_type":"original","intvolume":"       281","extern":"1","title":"Constant-time dynamic weight approximation for minimum spanning forest","type":"journal_article","doi":"10.1016/j.ic.2021.104805","citation":{"mla":"Henzinger, Monika H., and Pan Peng. “Constant-Time Dynamic Weight Approximation for Minimum Spanning Forest.” <i>Information and Computation</i>, vol. 281, no. 12, 104805, Elsevier, 2021, doi:<a href=\"https://doi.org/10.1016/j.ic.2021.104805\">10.1016/j.ic.2021.104805</a>.","chicago":"Henzinger, Monika H, and Pan Peng. “Constant-Time Dynamic Weight Approximation for Minimum Spanning Forest.” <i>Information and Computation</i>. Elsevier, 2021. <a href=\"https://doi.org/10.1016/j.ic.2021.104805\">https://doi.org/10.1016/j.ic.2021.104805</a>.","short":"M.H. Henzinger, P. Peng, Information and Computation 281 (2021).","ista":"Henzinger MH, Peng P. 2021. Constant-time dynamic weight approximation for minimum spanning forest. Information and Computation. 281(12), 104805.","ieee":"M. H. Henzinger and P. Peng, “Constant-time dynamic weight approximation for minimum spanning forest,” <i>Information and Computation</i>, vol. 281, no. 12. Elsevier, 2021.","apa":"Henzinger, M. H., &#38; Peng, P. (2021). Constant-time dynamic weight approximation for minimum spanning forest. <i>Information and Computation</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.ic.2021.104805\">https://doi.org/10.1016/j.ic.2021.104805</a>","ama":"Henzinger MH, Peng P. Constant-time dynamic weight approximation for minimum spanning forest. <i>Information and Computation</i>. 2021;281(12). doi:<a href=\"https://doi.org/10.1016/j.ic.2021.104805\">10.1016/j.ic.2021.104805</a>"},"date_updated":"2022-09-12T09:29:29Z","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2011.00977"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","volume":281,"oa":1,"quality_controlled":"1","abstract":[{"lang":"eng","text":"We give two fully dynamic algorithms that maintain a (1 + ε)-approximation of the weight M of a minimum spanning forest (MSF) of an n-node graph G with edges weights in [1, W ], for any ε > 0. (1) Our deterministic algorithm takes O (W 2 log W /ε3) worst-case update time, which is O (1) if both W and ε are constants. (2) Our randomized (Monte-Carlo style) algorithm works with high probability and runs in worst-case O (log W /ε4) update time if W = O ((m∗)1/6/log2/3 n), where m∗ is the minimum number of edges in the graph throughout all the updates. It works even against an adaptive adversary. We complement our algorithmic results with two cell-probe lower bounds for dynamically maintaining an approximation of the weight of an MSF of a graph."}],"issue":"12","year":"2021"}