A strongly polynomial algorithm to solve combinatorial linear programs
Operations Research
An Improved Algorithm for the Minimum Manhattan Network Problem
ISAAC '02 Proceedings of the 13th International Symposium on Algorithms and Computation
Approximating Minimum Manhattan Networks
RANDOM-APPROX '99 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization Problems: Randomization, Approximation, and Combinatorial Algorithms and Techniques
The minimum Manhattan network problem: approximations and exact solutions
Computational Geometry: Theory and Applications
Pareto envelopes in R3 under l1 and l∞ distance functions
SCG '07 Proceedings of the twenty-third annual symposium on Computational geometry
The minimum Manhattan network problem: Approximations and exact solutions
Computational Geometry: Theory and Applications
Hi-index | 0.00 |
For a set T of n points (terminals) in the plane, a Manhattan network on T is a network N(T)=(V,E) with the property that its edges are horizontal or vertical segments connecting points in V⊇T and for every pair of terminals, the network N(T) contains a shortest l1-path between them. A minimum Manhattan network on T is a Manhattan network of minimum possible length. The problem of finding minimum Manhattan networks has been introduced by Gudmundsson, Levcopoulos, and Narasimhan (APPROX'99) and it is not known whether this problem is in P or not. Several approximation algorithms (with factors 8,4, and 3) have been proposed; recently Kato, Imai, and Asano (ISAAC'02) have given a factor 2 approximation algorithm, however their correctness proof is incomplete. In this note, we propose a rounding 2-approximation algorithm based on a LP-formulation of the minimum Manhattan network problem.