Covering problems

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In combinatorics and computer science, covering problems are computational problems that ask whether a certain combinatorial structure 'covers' another, or how large the structure has to be to do that. Covering problems are minimization problems and usually integer linear programs, whose dual problems are called packing problems.

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The most prominent examples of covering problems are the set cover problem, which is equivalent to the hitting set problem, and its special cases, the vertex cover problem and the edge cover problem.

Covering problems allow the covering primitives to overlap; the process of covering something with non-overlapping primitives is called decomposition.

General linear programming formulation

In the context of linear programming, one can think of any minimization linear program as a covering problem if the coefficients in the constraint matrix, the objective function, and right-hand side are nonnegative. [1] More precisely, consider the following general integer linear program:

minimize
subject to
.

Such an integer linear program is called a covering problem if for all and .

Intuition: Assume having types of object and each object of type has an associated cost of . The number indicates how many objects of type we buy. If the constraints are satisfied, it is said that is a covering (the structures that are covered depend on the combinatorial context). Finally, an optimal solution to the above integer linear program is a covering of minimal cost.

Kinds of covering problems

There are various kinds of covering problems in graph theory, computational geometry and more; see Category:Covering problems. Other stochastic related versions of the problem can be found. [2]

The covering problem of Rado, where a series of squares with parallel edges needs to cover an area of 1. For any set meeting these conditions, a subset of these squares is selected (indicated by the red coloring) in which no two squares overlap, and the total area is maximized. The goal is to make an arrangement of squares so that the total area of the optimal subset is minimized. The examples each have maximal areas of 1/4, but there are some which have slightly lower. Covering problem of Rado.gif
The covering problem of Rado, where a series of squares with parallel edges needs to cover an area of 1. For any set meeting these conditions, a subset of these squares is selected (indicated by the red coloring) in which no two squares overlap, and the total area is maximized. The goal is to make an arrangement of squares so that the total area of the optimal subset is minimized. The examples each have maximal areas of 1/4, but there are some which have slightly lower.
The disk covering problem, which asks what the smallest real number
r
(
n
)
{\displaystyle r(n)}
is such that
n
{\displaystyle n}
disks of radius
r
(
n
)
{\displaystyle r(n)}
can be arranged in such a way as to cover the unit disk. DiscCoveringExample.svg
The disk covering problem, which asks what the smallest real number is such that disks of radius can be arranged in such a way as to cover the unit disk.

Covering in Petri nets

For Petri nets, the covering problem is defined as the question if for a given marking, there exists a run of the net, such that some larger (or equal) marking can be reached. Larger means here that all components are at least as large as the ones of the given marking and at least one is properly larger.

Rainbow covering

In some covering problems, the covering should satisfy some additional requirements. In particular, in the rainbow covering problem, each of the original objects has a "color", and it is required that the covering contains exactly one (or at most one) object of each color. Rainbow covering was studied e.g. for covering points by intervals: [5]

The problem is NP-hard (by reduction from linear SAT).

Conflict-free covering

A more general notion is conflict-free covering. [6] In this problem:

Conflict-free set cover is the problem of finding a conflict-free subset of O that is a covering of P. Banik, Panolan, Raman, Sahlot and Saurabh [7] prove the following for the special case in which the conflict-graph has bounded arboricity:

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References

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  2. Douek-Pinkovich, Y., Ben-Gal, I., & Raviv, T. (2022). "The Stochastic Test Collection Problem: Models, Exact and Heuristic Solution Approaches" (PDF). European Journal of Operational Research, 299 (2022), 945–959}.{{cite web}}: CS1 maint: multiple names: authors list (link) CS1 maint: numeric names: authors list (link)
  3. Ajtai, Miklós (1973), "The solution of a problem of T. Radó", Bulletin de l'Académie Polonaise des Sciences, Série des Sciences Mathématiques, Astronomiques et Physiques, 21: 61–63, MR   0319053
  4. Bereg, Sergey; Dumitrescu, Adrian; Jiang, Minghui (2010), "On covering problems of Rado", Algorithmica, 57 (3): 538–561, doi:10.1007/s00453-009-9298-z, MR   2609053 ; preliminary announcement in SWAT 2008, doi : 10.1007/978-3-540-69903-3_27
  5. Arkin, Esther M.; Banik, Aritra; Carmi, Paz; Citovsky, Gui; Katz, Matthew J.; Mitchell, Joseph S. B.; Simakov, Marina (2018-12-11). "Selecting and covering colored points". Discrete Applied Mathematics. 250: 75–86. doi: 10.1016/j.dam.2018.05.011 . ISSN   0166-218X.
  6. Banik, Aritra; Sahlot, Vibha; Saurabh, Saket (2020-08-01). "Approximation algorithms for geometric conflict free covering problems". Computational Geometry. 89: 101591. doi:10.1016/j.comgeo.2019.101591. ISSN   0925-7721. S2CID   209959954.
  7. Banik, Aritra; Panolan, Fahad; Raman, Venkatesh; Sahlot, Vibha; Saurabh, Saket (2020-01-01). "Parameterized Complexity of Geometric Covering Problems Having Conflicts". Algorithmica. 82 (1): 1–19. doi:10.1007/s00453-019-00600-w. ISSN   1432-0541. S2CID   254027914.