benchmarkfcns.multifidelity.robotarm

benchmarkfcns.multifidelity.robotarm(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 Robot Arm function. SCORES = robotarm(X) computes the value of the Robot Arm function at point X. multifidelity.robotarm accepts a matrix of size M-by-8 and returns a matrix SCORES of size M-by-2. Properties (High-fidelity):

  • Dimensions: 8

  • Recommended domain: L in [0, 1], theta in [0, 2pi]

Mathematical Definition

Visualization

robotarm landscape