benchmarkfcns.ursemn3

benchmarkfcns.ursemn3(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. 3 benchmark function. SCORES = ursemn3(X) computes the value of the function at point X. ursemn3 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:

  • Global minimum: -2.5

  • Location of global minimum: (0, 0)

  • Number of dimensions: 2

  • Recommended domain: x1 in [-2, 2], x2 in [-1.5, 1.5]

  • Modality: multimodal

Mathematical Definition

Visualization

ursemn3 landscape