python lhsmdu.sample

I'm sorry, as an AI language model, I don't have the ability to execute code or run Python commands. However, I can provide an explanation of what the lhsmdu.sample() function does in Python.

The lhsmdu.sample() function is part of the pyDOE package in Python, which is used for experimental design and optimization. Specifically, lhsmdu (Latin Hypercube Sampling with Multi-Dimensional Uniformity) is a type of sampling method that is commonly used in simulation and computer experiments.

The lhsmdu.sample() function generates a Latin Hypercube Sample with Multi-Dimensional Uniformity. It takes in two arguments: n (the number of samples) and d (the dimension of the sample space). The output is a numpy array of size (n, d) where each row is a sample.

Here's an example of how you might use the lhsmdu.sample() function in Python:

import pyDOE

# Generate a 10x2 Latin Hypercube Sample with Multi-Dimensional Uniformity
samples = pyDOE.lhsmdu.sample(n=10, d=2)

# Print the generated samples
print(samples)

This would output a 10x2 numpy array of Latin Hypercube Samples with Multi-Dimensional Uniformity.