benchmarkfcns.multifidelity.bohachevskyn1

benchmarkfcns.multifidelity.bohachevskyn1(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 Bohachevsky N. 1 function. SCORES = bohachevskyn1(X) computes the value of the Bohachevsky N. 1 function at point X. multifidelity.bohachevskyn1 accepts a matrix of size M-by-2 and returns a matrix SCORES of size M-by-2.

Mathematical Definition

Visualization

bohachevskyn1 landscape