benchmarkfcns.multifidelity.dixonprice

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

Mathematical Definition

Visualization

dixonprice landscape