Man pages for torekleppe/RAutoDiff
Easy to use first and second order Automatic Differentiation
| AD_matrix-class | matrix class populated by AD types |
| ADtype-class | Union of available AD types |
| chol-AD_matrix-method | overload of the built in (upper-triangular) Cholesky |
| det-AD_matrix-method | Deterimant of AD_matrix type |
| determinant-AD_matrix-method | Deterimant of AD_matrix type |
| fAD2-class | class representing a numeric vector, it's Jacobian matrix and... |
| fAD-class | class representing a numeric vector and it's Jacobian matrix |
| gradient | Get gradient from scalar AD type |
| independent | Set independent variable for first order derivatives |
| independent2 | Set independent variable for first and second order... |
| solve-AD_matrix-ANY-method | Overload of the solve()-function for AD-types |
| solve-matrix-AD_matrix-method | Overload of the solve()-function for AD-types |
| solve-matrix-ADtype-method | Overload of the solve()-function for AD-types |
| value | Get value from AD type |
