code: public LinearInterpolatedTimeDiscreteProcess apply(UnivariateFunction function) {
  		Map<Double, RandomVariableInterface> result = new HashMap<Double, RandomVariableInterface>();
  
  		for(double time: timeDiscretization) {
  			result.put(time, realizations.get(time).apply(function));
  		}
  
  		return new LinearInterpolatedTimeDiscreteProcess(timeDiscretization, result);
  	}
docs: Create a new process consisting of the interpolation of the random variables obtained by
  applying the given function to this process discrete set of random variables.
  That is \( t \mapsto Y(t) \)
  where
  \[
  Y(t) = \frac{t_{i+1} - t}{t_{i+1}-t_{i}} f(X(t_{i})) + \frac{t - t_{i}}{t_{i+1}-t_{i}} f(X(t_{i+1}))
  \]
  with \( t_{i} \leq t \leq t_{i+1} \) and a given function \( f \).
  
  @param function The function \( f \), a univariate function.
  @return A new process consisting of the interpolation of the random variables obtained by applying the given function to this process discrete set of random variables.