benchmarkfcns.multifidelity.schwefel¶
- benchmarkfcns.multifidelity.schwefel(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 Schwefel function. SCORES = schwefel(X) computes the value of the Schwefel function at point X. multifidelity.schwefel accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-2.
Mathematical Definition
Visualization