benchmarkfcns.multifidelity.goldsteinprice

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

Mathematical Definition

Visualization

goldsteinprice landscape