benchmarkfcns.multifidelity.matyas¶
- benchmarkfcns.multifidelity.matyas(arg0: Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]', 'flags.c_contiguous']) Annotated[numpy.typing.NDArray[numpy.float64], '[m, n]']¶
Computes the value of the multi-fidelity Matyas function. SCORES = matyas(X) computes the value of the Matyas function at point X. multifidelity.matyas accepts a matrix of size M-by-2 and returns a matrix SCORES of size M-by-2.
Mathematical Definition
\[f(x, y)=0.26(x^2+y^2) -0.48xy\]
Visualization
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