Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/118385
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Title: Partial interval multicover : approximation and complexity
Authors: Tu, X
Zhang, Z
Cao, Y 
Li, P
Issue Date: 15-Jun-2026
Source: Theoretical computer science, 15 June 2026, v. 1075, 115958
Abstract: We study a variant of set cover on the real line, where elements are points, sets are intervals, and each point has an integer demand; a point is fully covered when it is contained in at least its demand many chosen intervals. The objective is to select the fewest intervals that fully cover at least a specified number of points. We present the first polynomial-time approximation scheme (PTAS) for the unweighted version of this problem and show that a natural weighted generalization is NP-complete.
Keywords: Theoretical computer science
Multicover
NP-completeness
Partial cover
Polynomial-time approximation scheme
Publisher: Elsevier BV
Journal: Theoretical computer science 
ISSN: 0304-3975
DOI: 10.1016/j.tcs.2026.115958
Rights: © 2026 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ ).
The following publication Li, P., Tu, X., Zhang, Z., & Cao, Y. (2026). Partial interval multicover: Approximation and complexity. Theoretical Computer Science, 1075, 115958 is available at https://doi.org/10.1016/j.tcs.2026.115958.
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