benchmarkfcns.trigonometricn2¶
- benchmarkfcns.trigonometricn2(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 Trigonometric N. 2 benchmark function. SCORES = trigonometricn2(X) computes the value of the function at point X. trigonometricn2 accepts a matrix of size M-by-N and returns a vector SCORES of size M-by-1. Properties:
Global minimum: 1
Location of global minimum: (0.9, 0.9, …, 0.9)
Number of dimensions: n
Recommended domain: [-500, 500]^n
Modality: multimodal
Mathematical Definition
Visualization