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Given a set P of n points in the plane, the maximum triangle problem asks for finding a triangle with three vertices in P that encloses the maximum number of points from P. While the problem is easily solvable in O (n³) time, it has been open whether a subcubic solution is possible. In this paper, we show that the problem can be solved in o (n³) time, using a reduction to min-plus matrix multiplication. We also provide some improved approximation algorithms for the problem, including a 4-approximation algorithm running in O (n n h) time, and a 3-approximation algorithm with O (nh n + nh²) runtime, where h is the size of the convex hull of P.
Ameli et al. (Sun,) studied this question.
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