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Large-scale Complete Graph Instances for Max-Cut Problem

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DataCite Commons2025-06-10 更新2026-05-05 收录
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https://dataverse.tdl.org/citation?persistentId=doi:10.18738/T8/VLTIVC
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There are 180 large-scale high-density (97-99%) instances for Max-Cut problems with Q matrix from 1000 by 1000 to 90000 by 90000. For 90000 by 90000, the file are broken to multiple 2GB pieces such as MC90000_*.txt.gz_a, ...MC90000_*.txt.gz.d .<br> To recover the large data file after you download the pieces, use<br> copy /b file1 + file2 + file3 + file4 filetogether <br> for example, for MC90000_1.txt data<br> copy /b MC90000_1.txt.gz_a +....+ MC90000_1.txt.gz_e MC90000_1.txt.gz<br> gunzip MC90000_1.txt.gz <br> There are three different types of weights on the instances. The MCxx_yy_a.txt.xz instance has 1 and -1 weight. The MCxx_yy_b.txt.xz instance has random value between -10 and 10. The MCxx_yy_c.txt.xz instance has random value between -1000 and 1000. All data files are compressed with XZ tool. <br> For each instance, there is a text-file in the following format (rudy-output format): <br> n m<br> h_1 t_1 c_{h_1,t_1}<br> h_2 t_2 c_{h_2,t_2}<br> ...<br> h_n t_n c_{h_n,t_n}<br> <br> where n is the number of nodes, m the number of edges and for each edge, h_i and t_i are the end-nodes and c_{h_i,t_i} the weight. Nodes are numbered from 1 up to n. All instances are generated as complete graph
提供机构:
Texas Data Repository
创建时间:
2020-08-18
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