benchmarkfcns.mishran6¶
- benchmarkfcns.mishran6(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 Mishra’s Function No. 6 benchmark function. SCORES = mishran6(X) computes the value of the function at point X. mishran6 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:
Global minimum: ~-2.28395
Location of global minimum: (2.88631, 1.82326)
Number of dimensions: 2
Recommended domain: [-10, 10]^2
Modality: Multimodal
Mathematical Definition
Visualization