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

Visualization