**NEW Sharing area**

User documentation

Admin documentation

Development resources

Download

Private area

Download Flash Player 9 or better for full experience.

Draws a Latin Hypercube Sample from a set of uniform distributions for use in creating a Latin Hypercube Design.
The following parameters are available for fine tuning of the algorithm:

- Random LHS:
- “Number of experiments”

- OptimumLHS:
- “Number of experiments”
- “Maximum applications of the CP algorithm”
- “Optimal stopping criterion”

- Improved LHS:
- “Number of experiments”
- “Number of candidate points used in the search”

- Maximin LHS
- “Number of experiments”
- “Number of candidate points used in the search”

- Stocki, R. (2005) A method to improve design reliability using optimal Latin hypercube sampling _Computer Assisted Mechanics and Engineering Sciences_ *12*, 87-105.
- Beachkofski, B., Grandhi, R. (2002) Improved Distributed Hypercube Sampling _American Institute of Aeronautics and Astronautics Paper_ *1274*. This function is based on the MATLAB program written by John Burkardt and modified 16 Feb 2005 http://www.csit.fsu.edu/~burkardt/m_src/ihs/ihs.m
- Stein, M. (1987) Large Sample Properties of Simulations Using Latin Hypercube Sampling. _Technometrics_. *29*, 143-151.

This LHS algorithms are wrapped from the [R] package LHS .

- copy in “
**Promethee_Install_Path**/plugins/doe directory”, - restart Promethee GUI.