benchmarkfcns.ursemwaves

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

  • Global minimum: -7.306999

  • Location of global minimum: (-0.605689, -1.177562)

  • Number of dimensions: 2

  • Recommended domain: x1 in [-0.9, 1.2], x2 in [-1.2, 1.2]

  • Modality: multimodal

Mathematical Definition

Visualization

ursemwaves landscape