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Releases: sahilm89/lhsmdu

Speed Boost minor compatibility fixes

03 Jul 14:10
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Small compatibility fixes between Python 2 and 3.

Speed-boost

11 May 20:54
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The lhsmdu library is now much faster (e.g.15-20 times faster for 500 samples). The code has been refactored and optimized for speed. No backward-compatibility problems expected, and no other functionality has been added in this release.

Runtimes_dims=16

First release for this code

27 Feb 09:16
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This is a package for generating latin hypercube samples with multi-dimensional uniformity. This allows you to also sample from arbitrary CDFs.

To cite, please cite both the original paper: http://dx.doi.org/10.1016%2Fj.jspi.2011.09.016.
and the repository: https://doi.org/10.5281/zenodo.2578781