benchmarkfcns.multifidelity.branin

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

  • Dimensions: 2

  • Recommended domain: [-5, 10] x [0, 15]

Mathematical Definition

Visualization

branin landscape