benchmarkfcns.multifidelity.otlcircuit

benchmarkfcns.multifidelity.otlcircuit(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 OTL circuit function. SCORES = otlcircuit(X) computes the value of the OTL circuit function at point X. multifidelity.otlcircuit accepts a matrix of size M-by-6 and returns a matrix SCORES of size M-by-2. Properties (High-fidelity):

  • Dimensions: 6

  • Recommended domain: [50, 150] x [25, 70] x [0.5, 3] x [1.2, 2.5] x [0.25, 1.2] x [50, 300]

Mathematical Definition

Visualization

otlcircuit landscape