imate.InterpolateLogdet.interpolate

InterpolateLogdet.interpolate(t)

Interpolate at the input point t.

Note

You may alternatively, call InterpolateLogdet.__call__() method.

Parameters:

tfloat or array_like[float]

An inquiry point (or list of points) to interpolate.

Returns:

normfloat or numpy.array

Interpolated values. If the input t is a list or array, the output is an array of the same size of t.

See also

imate.InterpolateLogdet.__call__

imate.InterpolateLogdet.eval

Examples

>>> # Generate two sample matrices (symmetric positive-definite)
>>> from imate.sample_matrices import correlation_matrix
>>> A = correlation_matrix(size=20, scale=1e-1)

>>> # Initialize interpolator object
>>> from imate import InterpolateLogdet
>>> ti = [1e-2, 1e-1, 1, 1e1]
>>> f = InterpolateLogdet(A, ti=ti)

>>> # Interpolate at an inquiry point t = 0.4
>>> t = 4e-1
>>> f.interpolate(t)
2.879736857573098

>>> # Array of input points
>>> t = [4e-1, 4, 4e+1]
>>> f.interpolate(t)
array([ 2.87973686, 31.88562138, 74.1393325 ])