benchmarkfcns.multifidelity.griewank¶
- benchmarkfcns.multifidelity.griewank(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 Griewank function. SCORES = griewank(X) computes the value of the Griewank function at point X. multifidelity.griewank accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-2.
Mathematical Definition
\[f(\textbf{x}) = f(x_1, ..., x_n) = 1 + \sum_{i=1}^{n} \frac{x_i^{2}}{4000} - \prod_{i=1}^{n}cos(\frac{x_i}{\sqrt{i}})\]
Visualization
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