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发表于 2025-3-25 05:52:17
Michael M. Gruneberg,David J. Oborne assignment which satisfies as many of the clauses as possible. While there are many polynomial-time approximation algorithms for this problem, we take the viewpoint of space complexity following and design sublinear-space approximation algorithms for the problem..
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发表于 2025-3-25 09:55:11
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发表于 2025-3-25 12:50:58
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发表于 2025-3-25 18:02:13
Michael M. Gruneberg,David J. Obornees not exceed 2. The . of . is the sum ∑ ..(.). If {. ∈ .(.) ≠ 0} contains no triangles then . is called ...Cornuéjols and Pulleyblank devised a combinatorial .(.)-algorithm that finds a triangle free 2-matching of maximum size (hereinafter . : = |.|, . : = |.|) and also established a min-max theore
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发表于 2025-3-25 20:53:22
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发表于 2025-3-26 04:09:09
Michael M. Gruneberg,David J. Oborne. In ., a threshold . is given and the goal is to partition . into a minimum number of subsets such that the projected vectors on each subset of indices have multiplicity at least ., where the multiplicity is the number of times a vector repeats in the (projected) multi-set. In ., a target number .
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发表于 2025-3-26 06:11:46
Michael M. Gruneberg,David J. Oborne. In ., a threshold . is given and the goal is to partition . into a minimum number of subsets such that the projected vectors on each subset of indices have multiplicity at least ., where the multiplicity is the number of times a vector repeats in the (projected) multi-set. In ., a target number .
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发表于 2025-3-26 09:23:34
Michael M. Gruneberg,David J. Oborne. In ., a threshold . is given and the goal is to partition . into a minimum number of subsets such that the projected vectors on each subset of indices have multiplicity at least ., where the multiplicity is the number of times a vector repeats in the (projected) multi-set. In ., a target number .
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发表于 2025-3-26 15:38:33
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发表于 2025-3-26 18:40:07
. In ., a threshold . is given and the goal is to partition . into a minimum number of subsets such that the projected vectors on each subset of indices have multiplicity at least ., where the multiplicity is the number of times a vector repeats in the (projected) multi-set. In ., a target number .