benchmarkfcns.bukinn6

benchmarkfcns.bukinn6(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 Bukin N. 6 benchmark function. SCORES = bukinn6(X) computes the value of the Bukin N. 6 function at point X. bukinn6 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1 in which each row contains the function value for the corresponding row of X. Properties:

  • Global minimum: 0

  • Location of global minimum: (-10, 1)

  • Number of dimensions: 2

  • Recommended domain: x in [-15, -5], y in [-3, 3]

  • Number of local minima: many

  • Number of global minima: 1

  • Convexity: non-convex

  • Separability: non-separable

  • Modality: multimodal

  • Differentiable: No

For more information, please visit: benchmarkfcns.info/doc/bukinn6fcn

Mathematical Definition

Visualization

bukinn6 landscape