Source code for SALib.test_functions.linear_model_2
import numpy as np
[docs]
def evaluate(values):
"""Linear model (#2) used in Li et al., (2010).
y = 5x1 + 4x2 + 3x3 + 2x4 + x5
Parameters
----------
values : np.array
References
----------
.. [1] Genyuan Li, H. Rabitz, P.E. Yelvington, O.O. Oluwole, F. Bacon,
C.E. Kolb, and J. Schoendorf, "Global Sensitivity Analysis for
Systems with Independent and/or Correlated Inputs", Journal of
Physical Chemistry A, Vol. 114 (19), pp. 6022 - 6032, 2010,
https://doi.org/10.1021/jp9096919
"""
Y = np.zeros([values.shape[0]])
Y = (
5 * values[:, 0]
+ 4 * values[:, 1]
+ 3 * values[:, 2]
+ 2 * values[:, 3]
+ values[:, 4]
)
return Y