benchmarkfcns.pathological

benchmarkfcns.pathological(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 Pathological function. SCORES = pathological(X) computes the value of the function at point X. pathological 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: Any

  • Recommended domain: [-100, 100]^N

  • Modality: Multimodal

Mathematical Definition

Visualization

pathological landscape