Create an Stf representing the identity function, f(t) = t.
An Stf representing the identity function.
Create a batch of constant Stfs.
Discretize an Stf into a Pwc.
Sample an Stf at given times.
For more information on Stf nodes see the Working with time-dependent functions in
Boulder Opal topic.
Create Gaussian pulse.
>>> time = graph.identity_stf()
<Stf: operation_name="identity_stf", value_shape=(), batch_shape=()>
>>> gaussian = graph.exp(- time ** 2)
<Stf: operation_name="exp", value_shape=(), batch_shape=()>
Refer to the How to perform model-based optimization with user-defined basis functions
user guide to find the example in context.