benchmarkfcns.kowalik¶
- benchmarkfcns.kowalik(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 Kowalik benchmark function. SCORES = kowalik(X) computes the value of the function at point X. kowalik accepts a matrix of size M-by-4 and returns a vector SCORES of size M-by-1. Properties:
Global minimum: 0.0003075
Location of global minimum: (0.1928, 0.1928, 0.1231, 0.1358)
Number of dimensions: 4
Recommended domain: [-5, 5]^4
Modality: multimodal
Mathematical Definition
Visualization