splinebox.basis_functions.Exponential.

call#

Exponential.__call__(t, derivative=0)#

Evaluate the function at position(s) t. You can optionally pass derivative=1 or 2 to obtain the respective derivative(s).

Evaluate the function at position(s) t.

Parameters:

tfloat or numpy.array: The points where the function should be evaluated.
derivative[0, 1, 2], default = 0: Whether to evaluate the function (0) or its first (1) or second (2) derivative.

Returns:

ynumpy.array: Values of the function or its first or second derivative at position(s) t.

Examples

>>> basis_function = splinebox.basis_functions.B1()
>>> basis_function(0.5)
0.5

>>> t = np.array([-0.2, 0.5])
>>> basis_function(t, derivative=1)
array([ 1., -1.])

__call__#