LHS with sudoku constraint
Latin hypercube sampler with a sudoku-like constraint.
The sudoku LHS algorithm is a bit like the first stage in the design of an N-dimensional sudoku puzzle, hence the name: each “sudoku box” must have exactly the same number of samples, and no two samples may occur on the same axis-aligned hyperplane.
This gives coarse stratification in N dimensions with linear runtime.
Supports Python 2.7 and 3.4.
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