An Implicit Cover Problem in Wild Population Study
Computational Complexity
2015-03-19 v1 Data Structures and Algorithms
Populations and Evolution
Abstract
In an implicit combinatorial optimization problem, the constraints are not enumerated explicitly but rather stated implicitly through equations, other constraints or auxiliary algorithms. An important subclass of such problems is the implicit set cover (or, equivalently, hitting set) problem in which the sets are not given explicitly but rather defined implicitly For example, the well-known minimum feedback arc set problem is such a problem. In this paper, we consider such a cover problem that arises in the study of wild populations in biology in which the sets are defined implicitly via the Mendelian constraints and prove approximability results for this problem.
Keywords
Cite
@article{arxiv.1102.5471,
title = {An Implicit Cover Problem in Wild Population Study},
author = {Mary V. Ashley and Tanya Y. Berger-Wolf and Wanpracha Chaovalitwongse and Bhaskar DasGupta and Ashfaq Khokhar and Saad Sheikh},
journal= {arXiv preprint arXiv:1102.5471},
year = {2015}
}
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11 pages