{"ID":2824350,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.23468","arxiv_id":"2512.23468","title":"Pseudodeterministic Algorithms for Minimum Cut Problems","abstract":"In this paper, we present efficient pseudodeterministic algorithms for both the global minimum cut and minimum s-t cut problems. The running time of our algorithm for the global minimum cut problem is asymptotically better than the fastest sequential deterministic global minimum cut algorithm (Henzinger, Li, Rao, Wang; SODA 2024). Furthermore, we implement our algorithm in sequential, streaming, PRAM, and cut-query models, where no efficient deterministic global minimum cut algorithms are known.","short_abstract":"In this paper, we present efficient pseudodeterministic algorithms for both the global minimum cut and minimum s-t cut problems. The running time of our algorithm for the global minimum cut problem is asymptotically better than the fastest sequential deterministic global minimum cut algorithm (Henzinger, Li, Rao, Wang;...","url_abs":"https://arxiv.org/abs/2512.23468","url_pdf":"https://arxiv.org/pdf/2512.23468v1","authors":"[\"Aryan Agarwala\",\"Nithin Varma\"]","published":"2025-12-29T13:49:58Z","proceeding":"cs.DS","tasks":"[\"cs.DS\",\"cs.CC\"]","methods":"[]","has_code":false}
