Years and Authors of Summarized Original Work
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1983; Baker
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1994; Baker
Problem Definition
Many NP-hard graph problems become easier to approximate on planar graphs and their generalizations. (A graph is planar if it can be drawn in the plane (or the sphere) without crossings. For definitions of other related graph classes, see the entry on Bidimensionality (2004; Demaine, Fomin, Hajiaghayi, Thilikos).) For example, a maximum independent set asks to find a maximum subset of vertices in a graph that induce no edges. This problem is inapproximable in general graphs within a factor of n1−ε for any ε > 0 unless NP = ZPP (and inapproximable within \(n^{1/2-\epsilon }\) unless P = NP), while for planar graphs, there is a 4-approximation (or simple 5-approximation) by taking the largest color class in a vertex 4-coloring (or 5-coloring). Another is minimum dominating set, where the goal is to find a minimum subset of vertices such that every vertex is either in or adjacent to the subset....
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Baker BS (1994) Approximation algorithms for NP-complete problems on planar graphs. J Assoc Comput Mach 41(1):153–180
Borradaile G, Kenyon-Mathieu C, Klein PN (2007) A polynomial-time approximation scheme for Steiner tree in planar graphs. In: Proceedings of the 18th annual ACM-SIAM symposium on discrete algorithms (SODA’07), New Orleans
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Demaine ED, Hajiaghayi M (2004) Equivalence of local treewidth and linear local treewidth and its algorithmic applications. In: Proceedings of the 15th ACM-SIAM symposium on discrete algorithms (SODA’04), New Orleans, pp 833–842
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Hajiaghayi, M.T., Demaine, E.D. (2016). Approximation Schemes for Planar Graph Problems. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_32
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