benchmarkfcns.stepn1

benchmarkfcns.stepn1(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. 1 benchmark function. SCORES = stepn1(X) computes the value of the function at point X. stepn1 accepts a matrix of size M-by-N and returns a vector SCORES of size M-by-1. Properties:

  • Global minimum: 0

  • Location of global minimum: (0, 0, …, 0)

  • Number of dimensions: n

  • Recommended domain: [-100, 100]^n

  • Modality: unimodal

Mathematical Definition

Visualization

stepn1 landscape