[ADMB Users] df3_one_variable

[dave fournier]

What is a df3_one_variable?
thanks,
Mollie


To understand this you need to understand the difference between forward and reverse model automatic differentiation.

This type is for forward model AD with one independent variable.  The normal ADMB stuff for random effects involves
one forward sweep of AD followed by 2 reverse sweeps.  If you have a fairly complicated function of one variable
it is more efficient to get its derivatives contribution by forward mode AD.  The forward model stuff gets
embedded into the code with some "glue" by declaring the correct types.  There must be a good example somewhere.