benchmarkfcns.multifidelity.piston

benchmarkfcns.multifidelity.piston(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 Piston function. SCORES = piston(X) computes the value of the Piston function at point X. multifidelity.piston accepts a matrix of size M-by-7 and returns a matrix SCORES of size M-by-2. Properties (High-fidelity):

  • Dimensions: 7

  • Recommended domain: [30, 60] x [0.005, 0.020] x [0.002, 0.010] x [1000, 5000] x [90000, 110000] x [290, 296] x [340, 360]

Mathematical Definition

Visualization

piston landscape