benchmarkfcns.mishran7¶
- benchmarkfcns.mishran7(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. 7 benchmark function. SCORES = mishran7(X) computes the value of the function at point X. mishran7 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: prod(x_i) = n!
Number of dimensions: Any
Recommended domain: [-10, 10]^N
Modality: Multimodal
Mathematical Definition
Visualization