benchmarkfcns.multifidelity.park91a

benchmarkfcns.multifidelity.park91a(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 Park91a function. SCORES = park91a(X) computes the value of the Park91a function at point X. multifidelity.park91a accepts a matrix of size M-by-4 and returns a matrix SCORES of size M-by-2. Properties (High-fidelity):

  • Dimensions: 4

  • Recommended domain: [0, 1]^4

Mathematical Definition

Visualization

park91a landscape