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LHS with sudoku constraint

Project description

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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Files for sudoku-lhs, version 0.1.1
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