exp_decay_log

mdtools.functions.exp_decay_log(t, k=1)

Logarithm of an exponential decay function:

\[f(t) = -k \cdot t\]

Parameters:

• t (scalar or array_like) – Value(s) at which to evaluate \(f(t)\).

• k (scalar or array_like, optional) – Rate constant(s).

See also

mdtools.functions.exp_decay()

Exponential decay function

mdtools.functions.fit_exp_decay_log()

Fit an exponential decay function

Returns:

decay (scalar or numpy.ndarray) – The outcome of \(f(t)\). \(f(t)\) is evaluated element-wise if t and/or k are arrays.

Notes

If more than one input argument is an array, all arrays must be broadcastable.