benchmarkfcns.multifidelity.bukinn6¶
- benchmarkfcns.multifidelity.bukinn6(arg0: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous']) Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]']¶
Computes the value of the multi-fidelity Bukin N. 6 function. SCORES = bukinn6(X) computes the value of the Bukin N. 6 function at point X. multifidelity.bukinn6 accepts a matrix of size M-by-2 and returns a matrix SCORES of size M-by-2.
Mathematical Definition
\[f(x,y)=100\sqrt{|y-0.01x^2|}+0.01|x+10|\]
Visualization
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