benchmarkfcns.multifidelity.gano

benchmarkfcns.multifidelity.gano(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 Gano function. SCORES = gano(X) computes the value of the Gano function at point X. multifidelity.gano accepts a matrix of size M-by-2 and returns a matrix SCORES of size M-by-4 (HF obj, HF constr, LF obj, LF constr).

Mathematical Definition

Visualization