Full-factorial sampling

Usage

import numpy as np
import matplotlib.pyplot as plt

from smt.sampling_methods import FullFactorial

xlimits = np.array([[0.0, 4.0], [0.0, 3.0]])
sampling = FullFactorial(xlimits=xlimits)

num = 50
x = sampling(num)

print(x.shape)

plt.plot(x[:, 0], x[:, 1], "o")
plt.xlabel("x")
plt.ylabel("y")
plt.show()

(50, 2)

Options

List of options

Option	Default	Acceptable values	Acceptable types	Description
xlimits	None	None	[‘ndarray’]	The interval of the domain in each dimension with shape nx x 2 (required)
weights	None	None	[‘list’, ‘ndarray’]	relative sampling weights for each nx dimensions
clip	False	None	[‘bool’]	round number of samples to the sampling number product of each nx dimensions (> asked nt)