benchmarkfcns.easom

benchmarkfcns.easom(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 Easom benchmark function. SCORES = easom(X) computes the value of the Easom function at point X. easom accepts a matrix of size M-by-2 and returns a vector SCORES of size M-by-1 in which each row contains the function value for the corresponding row of X. Properties:

  • Global minimum: -1

  • Location of global minimum: (π, π)

  • Number of dimensions: 2

  • Recommended domain: [-100, 100]^2

  • Number of local minima: many

  • Number of global minima: 1

  • Convexity: non-convex

  • Separability: non-separable

  • Modality: unimodal (but deceptively flat)

  • Differentiable: Yes

For more information, please visit: benchmarkfcns.info/doc/easomfcn

Mathematical Definition

Visualization

easom landscape