benchmarkfcns.multifidelity.adjiman

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

Mathematical Definition

Visualization

adjiman landscape