benchmarkfcns.multifidelity.crossintray

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

Mathematical Definition

Visualization

crossintray landscape