benchmarkfcns.multifidelity.zakharov

benchmarkfcns.multifidelity.zakharov(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 Zakharov function. SCORES = zakharov(X) computes the value of the Zakharov function at point X. multifidelity.zakharov accepts a matrix of size M-by-N and returns a matrix SCORES of size M-by-2.

Mathematical Definition

\[\sum_{i=1}^n x_i^{2}+(\sum_{i=1}^n 0.5ix_i)^2 + (\sum_{i=1}^n 0.5ix_i)^4\]

Visualization