tmdsimpy.postprocess.continuation.linear_interp¶

tmdsimpy.postprocess.continuation.linear_interp(XlamP_full, new_values, reference_values=None)¶

Linearly interpolate solutions to new points.

Parameters:

XlamP_full(M, N) numpy.ndarray: Solution points calculated with continuation. First dimension corresponds to M individual solutions. Second dimension corresponds to degrees of freedom at each solution point (N).
new_values(Minterp,): New values that XlamP_full should be interpolated to.
reference_values(M,) numpy.ndarray or None, optional: Reference values to compare new_values to corresponding to each row of XlamP_full. If None, then the last column of XlamP_full is used instead. The default is None.

Returns:

XlamP_interp(Minterp,N) numpy.ndarray: Interpolated values. Returns np.nan for rows where new_values is outside of the bounds of reference_values.