benchmarkfcns.deckkersaarts¶
- benchmarkfcns.deckkersaarts(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 Deckkers-Aarts function. SCORES = deckkersaarts(X) computes the value of the Deckkers-Aarts function at point X. deckkersaarts 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: -24771.09375
Location of global minimum: (0, 15), (0, -15)
Number of dimensions: 2
Recommended domain: [-20, 20]^2
Number of local minima: many
Number of global minima: 2
Convexity: non-convex
Separability: non-separable
Modality: multimodal
Differentiable: Yes
For more information, please visit: benchmarkfcns.info/doc/deckkersaartsfcn
Mathematical Definition
Visualization