benchmarkfcns.multifidelity.shubert

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

Mathematical Definition

Visualization

shubert landscape