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In mathematics, the map segmentation problem is a kind of optimization problem. It involves a certain geographic region that has to be partitioned into smaller sub-regions in order to achieve a certain goal. Typical optimization objectives include:[1]
Fair division of land has been an important issue since ancient times, e.g. in ancient Greece.[2]
There is a geographic region denoted by C ("cake").
A partition of C, denoted by X, is a list of disjoint subregions whose union is C:
There is a certain set of additional parameters (such as: obstacles, fixed points or probability density functions), denoted by P.
There is a real-valued function denoted by G ("goal") on the set of all partitions.
The map segmentation problem is to find:
where the minimization is on the set of all partitions of C.
Often, there are geometric shape constraints on the partitions, e.g., it may be required that each part be a convex set or a connected set or at least a measurable set.
1. Red-blue partitioning: there is a set of blue points and a set of red points. Divide the plane into regions such that each region contains approximately a fraction of the blue points and of the red points. Here:
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