pith:BYPZSAE3
Min-Sum Set Cover on Parallel Machines
A bicriteria LP-based algorithm for parallel maximum coverage yields O(log m / log log m) approximations for min-sum set cover on unrelated machines and a constant-factor guarantee on related machines.
arxiv:2604.11388 v3 · 2026-04-13 · cs.DS
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Claims
We give a randomized bicriteria (1-1/e-ε, O(log m/log log m))-approximation algorithm for Parallel Maximum Coverage based on a natural LP relaxation. This can be then used to obtain O(log m/log log m)-approximation algorithm for the Min-Sum Set Cover problem on unrelated machines. For related machines we obtain an 8e/(e+1)+ε <12.66-approximation.
That the stated bicriteria approximation for the Parallel Maximum Coverage subproblem holds via the LP relaxation and can be leveraged without additional hidden factors that would invalidate the derived ratios for the main Min-Sum Set Cover problems.
Approximation algorithms are given for the Parallel Min-Sum Set Cover problem, including a bicriteria (1-1/e-ε, O(log m/log log m)) result for a key subproblem leading to O(log m/log log m) for unrelated machines and <12.66 for related machines.
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| First computed | 2026-05-29T02:05:44.801361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0e1f99009b153b25b52c84ec7e4d37bb5a57d2bbb6e07331065ca51c5a7dc75e
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| jq -c '.canonical_record' \
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Canonical record JSON
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