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Titlebook: Combinatorial Optimization and Applications; 12th International C Donghyun Kim,R. N. Uma,Alexander Zelikovsky Conference proceedings 2018 S

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楼主: Aggrief
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Relaxation and Matrix Randomized Rounding for the Maximum Spectral Subgraph Problemnodes. We combine this algorithm with a maximum matching algorithm to obtain a . approximation algorithm for all values of .. We also describe how the mathematical programming formulation we give has several advantages over previous approaches which attempted at finding a subgraph with minimum spectral radius given an edge removal budget.
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Bipartizing with a Matchingets, and .-free graphs. Additionally, we show that this problem is fixed-parameter tractable when parameterized by the clique-width, which implies that it is polynomial-time solvable for many interesting graph classes, such as distance-hereditary, outerplanar, and chordal graphs.
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Practical and Easy-to-Understand Card-Based Implementation of Yao’s Millionaire Protocolttack (for example, he/she could exchange some of the cards stealthily when doing such a private action). In contrast, our implementation relies on a familiar shuffling operation called a random cut, and hence, it can be conducted completely publicly so as to avoid any active attack.
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Combinatorial Optimization and Applications978-3-030-04651-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
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https://doi.org/10.1007/978-3-030-69136-3lution graphs may contain branchings and, thus, they may not be uniquely convertible into sequences. Having introduced various ways of extracting the unique parts of such solutions, we extend previously known NP-hardness results to the case that the solution graph is planar, bipartite, and subcubic, and show that there is no PTAS in this case.
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https://doi.org/10.1007/978-3-030-04651-4approximation algorithms; computational geometry; data mining; data security; graph theory; heuristic met
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