benchmarkfcns.ursemn4

benchmarkfcns.ursemn4(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 Ursem N. 4 benchmark function. SCORES = ursemn4(X) computes the value of the function at point X. ursemn4 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:

  • Global minimum: -3

  • Location of global minimum: (0, 0)

  • Number of dimensions: 2

  • Recommended domain: [-2, 2]^2

  • Modality: multimodal

Mathematical Definition

Visualization

ursemn4 landscape