benchmarkfcns.schwefel223

benchmarkfcns.schwefel223(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 Schwefel 2.23 function. SCORES = schwefel223fcn(X) computes the value of the Schwefel 2.23 function at point X. schwefel223fcn accepts a matrix of size M-by-N 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: (0, 0, …, 0)

  • Number of dimensions: n

  • Recommended domain: [-10, 10]^n

  • Number of local minima: 0 (unimodal)

  • Number of global minima: 1

  • Convexity: convex

  • Separability: separable

  • Modality: unimodal

  • Symmetry: symmetric

  • Differentiable: Yes

For more information, please visit: benchmarkfcns.info/doc/schwefel223fcn

Mathematical Definition

Visualization

schwefel223 landscape