interpRBF: Apply the trained cubic, MQ or Gaussian RBF interpolation to...
In SACOBRA: Self-Adjusting COBRA

Apply the trained cubic, MQ or Gaussian RBF interpolation to new data for d>1.

1	interpRBF(x, rbf.model)

`x`	vector holding a point of dimension d
`rbf.model`	trained RBF model (or set of models), see `trainCubicRBF` or `trainGaussRBF`

value s(\vec{x}) of the trained model at \vec{x}
- or -
vector s_j( \vec{x}) with values for all trained models j=1,...,m at \vec{x}

SACOBRA documentation built on March 26, 2020, 7:15 p.m.

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