退出可食用 发表于 2025-3-23 10:23:46
Rigidity of Frameworks on Spheres, on a single sphere is equivalent to Euclidean rigidity and this equivalence extends to the case where the spheres are concentric. We consider the case when the spheres have distinct centres and give coloured sparsity conditions, analogous to the Euclidean case, necessary for a generic framework onCoterminous 发表于 2025-3-23 16:28:23
http://reply.papertrans.cn/39/3882/388157/388157_12.pngpester 发表于 2025-3-23 21:00:45
-Slow Burning: Complexity and Upper Bounds,the problem, .-slow burning, in which every burning vertex can only ignite up to . of its neighbours in each step of the burning process. We consider the complexity of computing the corresponding graph parameter, the .-slow burning number .. We prove .-hardness on multiple graph classes, most notablCommission 发表于 2025-3-24 00:57:49
http://reply.papertrans.cn/39/3882/388157/388157_14.pngOnerous 发表于 2025-3-24 03:58:28
http://reply.papertrans.cn/39/3882/388157/388157_15.png不连贯 发表于 2025-3-24 09:55:24
http://reply.papertrans.cn/39/3882/388157/388157_16.png愤慨一下 发表于 2025-3-24 12:16:36
Handling Sub-symmetry in Integer Programming using Activation Handlers,approach is flexible, with applications in the multiple-knapsack and unit commitment problems. Numerical results show a substantial performance improvement on the existing sub-symmetry-handling methods.可卡 发表于 2025-3-24 14:57:25
http://reply.papertrans.cn/39/3882/388157/388157_18.pngInfuriate 发表于 2025-3-24 20:16:38
https://doi.org/10.1007/978-3-476-04294-1approach is flexible, with applications in the multiple-knapsack and unit commitment problems. Numerical results show a substantial performance improvement on the existing sub-symmetry-handling methods.Genistein 发表于 2025-3-24 23:45:04
Musik in der Emigration 1933-1945e Cover. Second, we describe a simple branch and bound algorithm for the CVC problem. Finally, we implement our algorithm and compare its performance against our best extended formulation: contrary to what usually happens for the classical Vertex Cover problem, our formulation outperforms the branch and bound algorithm.