gram {CompModels} | R Documentation |
The Gramacy et. al 2016 test function
Description
The computer model test function introduced in Gramacy et. al 2016.
Usage
gram(x1, x2)
Arguments
x1 |
A scalar value between 0 and 1, inclusive |
x2 |
A scalar value between 0 and 1, inclusive |
Value
The evaluation of running the Gramacy et. al 2016 test function at input (x1, x2).
obj: A scalar objective function value
con: A vector of constraint function values
Note
A solution is feasible only if of all of the constraint functions values are less than or equal to 0.
References
Gramacy, R.B., Gray, G.A., Digabel, S.L., Lee, H.K.H., Ranjan, P., Wells, G., and Wild, S.M. (2016). Modeling an augmented Lagrangian for blackbox constrained optimization. Technometrics, 58(1):1-11.
Examples
### Running the function at x1 = 0.2 and x2 = 0.2
### obj = 0.4 and con = (1.29,-1.42)
### (x1,x2) = (0.2,0.2) is not a feasible solution
gram(0.2,0.2)
[Package CompModels version 0.3.0 Index]