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class Hungarian extends AnyRef

The Hungarian is an O(n^3) implementation of the Hungarian algorithm (or Kuhn-Munkres algorithm). Find the maximum cost set of pairings between 'm' x-nodes (workers) and 'n' y-nodes (jobs) such that each worker is assigned to one job and each job has at most one worker assigned. It solves the maximum-weighted bipartite graph matching problem.

maximize sum i = 0 .. m-1 { cost(x_i, y_i) }

Caveat: only works if 'm <= n' (i.e., there is at least one job for every worker).

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  1. new Hungarian(cost: MatrixD)

    cost

    the cost matrix: cost(x, y) = cost of assigning worker to job

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  14. def solve(): Double

    The main procedure to solve an assignment problem by finding initial pairings and then finding augmenting paths to improve the pairings/assignments.

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