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pith:2026:BYPZSAE3CU5SLNJMQTWH4TJXXN
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Min-Sum Set Cover on Parallel Machines

Micha{\l} Szyfelbein

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

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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

Aliases

arxiv: 2604.11388 · arxiv_version: 2604.11388v3 · doi: 10.48550/arxiv.2604.11388 · pith_short_12: BYPZSAE3CU5S · pith_short_16: BYPZSAE3CU5SLNJM · pith_short_8: BYPZSAE3
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Canonical record JSON
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