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Python Source Code - 9.5 KB -
MD5: 464ef8b8cea593ddf8fb886c828f4e3b
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Markdown Text - 1.7 KB -
MD5: ca2bcbdb38750969780ecacb1489f77b
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Python Source Code - 4.2 KB -
MD5: 0ccfffc9651327e5ee352ba88e71a347
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Mar 4, 2024
Held, Stephan, 2024, "Minimum Mean Cycle Instances", https://doi.org/10.60507/FK2/1DGUVE, bonndata, V1
This data set contains some large real-world instances of the minimum mean cycle problem. They are reported as the bonn01 to bonn09 instances in the paper: Georgiadis, L., Goldberg, A. V., Tarjan, R. E., & Werneck, R. F. "An experimental study of minimum mean cycle algorithms", in 2009 Proceedings of the Eleventh Workshop on Algorithm Engineering a... |
Mar 4, 2024 -
Minimum Mean Cycle Instances
Plain Text - 3.8 KB -
MD5: cb88362d49622f3677adc43b03cf9f7f
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Mar 4, 2024 -
Minimum Mean Cycle Instances
TAR Archive - 642.7 MB -
MD5: 204f7799f46c32af563064ea6325a8e2
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Feb 16, 2024
Ferrari, Patrik; Liu, Min, 2024, "Numerical calculation for persistence probability of Airy1 process", https://doi.org/10.60507/FK2/ANX3PQ, bonndata, V1
Via Bornemann's method (arxiv: 0804.2543), we provide a numerical calculation for persistence probability of Airy1 process. |
Plain Text - 151 B -
MD5: a270601e46277092d9692602aa91f2e9
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Plain Text - 474 B -
MD5: 6b06078f8002227e3007bc3933bfd09b
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MD5: a2e2341a3a347194780a745ea62fbbf5
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