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• W2962753098 abstract "The densest k-subgraph problem is the problem of finding a k-vertex subgraph of a graph with the maximum number of edges. In order to solve large instances of the densest k-subgraph problem, we introduce two algorithms that are based on the random coordinate descent approach. Although it is common use to update at most two random coordinates simultaneously in each iteration of an algorithm, our algorithms may simultaneously update many coordinates. We show the benefit of updating more than two coordinates simultaneously for solving the densest k-subgraph problem, and solve large problem instances with up to 215 vertices." @default.
• W2962753098 created "2019-07-30" @default.
• W2962753098 creator A5082314475 @default.
• W2962753098 date "2019-03-25" @default.
• W2962753098 modified "2023-10-18" @default.
• W2962753098 title "On solving the densest<i>k</i>-subgraph problem on large graphs" @default.
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• W2962753098 doi "https://doi.org/10.1080/10556788.2019.1595620" @default.
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