benchmarkfcns.multifidelity.wingweight

benchmarkfcns.multifidelity.wingweight(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 Wing Weight function. SCORES = wingweight(X) computes the value of the Wing Weight function at point X. multifidelity.wingweight accepts a matrix of size M-by-10 and returns a matrix SCORES of size M-by-2.

Mathematical Definition

Visualization

wingweight landscape