benchmarkfcns.kulnevich

benchmarkfcns.kulnevich(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 Kulnevich benchmark function. SCORES = kulnevich(X) computes the value of the function at point X. kulnevich accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:

  • Global minimum: -1.0 (approx)

  • Location of global minimum: (0, 0)

  • Number of dimensions: 2

  • Recommended domain: [-5, 5]^2

  • Modality: multimodal

Mathematical Definition

Visualization

kulnevich landscape