benchmarkfcns.alpine5¶
- benchmarkfcns.alpine5(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 Alpine N. 5 benchmark function. SCORES = alpine5(X) computes the value of the function at point X. alpine5 accepts a matrix of size M-by-N and returns a vector SCORES of size M-by-1. Properties:
Global minimum: 0
Location of global minimum: (0, 0, …, 0)
Number of dimensions: n
Recommended domain: [-10, 10]^n
Modality: multimodal
Mathematical Definition
Visualization