benchmarkfcns.pricen1¶
- benchmarkfcns.pricen1(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 Price’s Function No. 1 benchmark function. SCORES = pricen1(X) computes the value of the function at point X. pricen1 accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1. Properties:
Global minimum: 0
Location of global minimum: (+/- 5, +/- 5)
Number of dimensions: 2
Recommended domain: [-500, 500]^2
Modality: Multimodal
Mathematical Definition
Visualization