lubkoll / fung

A fast and easy to use function generation library that gives provides access to the first three derivatives of a (possibly matrix-valued) function.

FunG - Automatic Differentiation for Biomechanical Modeling

See http://lubkoll.github.io/FunG.

fung's Issues

How to use the matrix class?

In the document there are examples about using matrix
for example at http://lubkoll.github.io/FunG/#examples-two-variables
however, how to define Mat class?

Left Cauchy-Green strain tensor is actually the right Cauchy-Green strain tensor

Simple example using Armadillo C++

Hello

Many thanks for developing this library. Would it be possible to give a simple code snippet, showing how it can be used in combination with Armadillo C++?

Many thanks

John

Add free function 'dot' to represent explicit computation of scalar products

user of std vector<>

Hi I would like to test FunG for vector valued functions. where x[i] is a std defined vector and I want to differentiate for each variable.

In FADBAD you can define a vector<F> x for example and then find the derivatives of the function made up of these variables. Is this possible in FunG?