刺耳 发表于 2025-3-25 05:01:14
,A First Order Method for Linear Programming Parameterized by Circuit Imbalance,e constraint matrix is totally unimodular, we obtain polynomial-time algorithms, whereas the convergence guarantees for approaches based on primal-dual formulations may have arbitrarily slow convergence rates for this class. Our approach is based on a fast gradient method due to Necoara, Nesterov, aaggravate 发表于 2025-3-25 09:10:18
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http://reply.papertrans.cn/47/4683/468257/468257_23.png丰满中国 发表于 2025-3-25 18:50:49
,Adaptivity Gaps in Two-Sided Assortment Optimization,nts one by one is exactly 1/2. Finally, we observe that the worst policies are those who simultaneously show assortments to all the agents, in fact, we show that the adaptivity gap with respect to one-sided policies can be arbitrarily small. These results showcase the benefit of each class of polici喊叫 发表于 2025-3-25 22:15:03
http://reply.papertrans.cn/47/4683/468257/468257_25.pngfulcrum 发表于 2025-3-26 02:52:42
Integer Programming and Combinatorial Optimization25th International CInstrumental 发表于 2025-3-26 05:29:22
,Sparsity and Integrality Gap Transference Bounds for Integer Programs, study the additive integrality gap of the integer linear programs ., where . is a polyhedron in the standard form determined by an integer . matrix . and an integer vector .. The main result of the paper gives an upper bound for the integrality gap that drops exponentially in the size of support of榨取 发表于 2025-3-26 12:26:30
,Separating , from the Supplier Version, ratio 2.613 holds for the more general . where an additional set . is given with the restriction ., the best known hardness for these two versions are . and . respectively, using the same reduction from .. We prove the following two results separating them..Our upper bound and lower bound are derivJingoism 发表于 2025-3-26 16:13:21
,A Better-Than-1.6-Approximation for Prize-Collecting TSP,ties. The quality of a solution is then measured by adding the length of the tour and the sum of all penalties of vertices that are not visited. We present a polynomial-time approximation algorithm with an approximation guarantee slightly below 1.6, where the guarantee is with respect to the naturalconstruct 发表于 2025-3-26 18:26:23
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