benchmarkfcns.zirilli¶
- benchmarkfcns.zirilli(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 Zirilli function. SCORES = zirilli(X) computes the value of the Zirilli function at point X. zirilli 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: -0.3523
Location of global minimum: (-1.0465, 0)
Number of dimensions: 2
Recommended domain: [-10, 10]^2
Number of local minima: 2 (one global minimum and one local minimum)
Number of global minima: 1
Convexity: non-convex
Separability: separable
Modality: multimodal
Symmetry: non-symmetric
Differentiable: Yes
Mathematical Definition
Visualization