benchmarkfcns.stepn2¶
- benchmarkfcns.stepn2(arg0: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous']) Annotated[numpy.typing.NDArray[numpy.float64], '[m, 1]']¶
Computes the value of the Step N. 2 benchmark function. stepn2 is an alias for step (De Jong N. 3). Properties:
Global minimum: 0
Location of global minimum: [-0.5, 0.5)^n
Number of dimensions: n
Recommended domain: [-5.12, 5.12]^n
Modality: unimodal (plateau)
Mathematical Definition
Visualization