Years and Authors of Summarized Original Work
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1986; Du, Pan, Shing
Problem Definition
Adaptive partition is one of major techniques to design polynomial-time approximation algorithms, especially polynomial-time approximation schemes for geometric optimization problems. The framework of this technique is to put the input data into a rectangle and partition this rectangle into smaller rectangles by a sequence of cuts so that the problem is also partitioned into smaller ones. Associated with each adaptive partition, a feasible solution can be constructed recursively from solutions in smallest rectangles to bigger rectangles. With dynamic programming, an optimal adaptive partition is computed in polynomial time.
Historical Note
The adaptive partition was first introduced to the design of an approximation algorithm by Du et al. [4] with a guillotine cut while they studied the minimum edge-length rectangular partition (MELRP) problem. They found that if the partition is performed by a...
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Recommended Reading
Arora S (1996) Polynomial-time approximation schemes for Euclidean TSP and other geometric problems. In: Proceedings of the 37th IEEE symposium on foundations of computer science, pp 2–12
Arora S (1997) Nearly linear time approximation schemes for Euclidean TSP and other geometric problems. In: Proceedings of the 38th IEEE symposium on foundations of computer science, pp 554–563
Arora S (1998) Polynomial-time approximation schemes for Euclidean TSP and other geometric problems. J ACM 45:753–782
Du D-Z, Pan, L-Q, Shing, M-T (1986) Minimum edge length guillotine rectangular partition. Technical report 0241886, Math. Sci. Res. Inst., Univ. California, Berkeley
Du D-Z, Hsu DF, Xu K-J (1987) Bounds on guillotine ratio. Congressus Numerantium 58:313–318
Du DZ, Hwang FK, Shing MT, Witbold T (1988) Optimal routing trees. IEEE Trans Circuits 35:1335–1337
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Mitchell JSB (1996) Guillotine subdivisions approximate polygonal subdivisions: a simple new method for the geometric k-MST problem. In: Proceedings of the 7th ACM-SIAM symposium on discrete algorithms, pp 402–408
Mitchell JSB (1997) Guillotine subdivisions approximate polygonal subdivisions: part III – faster polynomial-time approximation scheme for geometric network optimization, manuscript, State University of New York, Stony Brook
Mitchell JSB (1999) Guillotine subdivisions approximate polygonal subdivisions: part II – a simple polynomial-time approximation scheme for geometric k-MST, TSP, and related problem. SIAM J Comput 29(2):515–544
Mitchell JSB, Blum A, Chalasani P, Vempala S (1999) A constant-factor approximation algorithm for the geometric k-MST problem in the plane. SIAM J Comput 28(3):771–781
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Deng, P., Wu, W., Shragowitz, E., Du, DZ. (2016). Adaptive Partitions. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_2
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