Module that contains the automatic differentiation logic for an Ge model.
All that is needed to define an Ge model that uses automatic
differentiation with hyperdual numbers is to define a new derived type
that overloads the method to the Ge function that you want to use.
Abstract Interfaces
-
public function hyperdual_Ge(self, n, t)
Arguments
Return Value
type(hyperdual)
Derived Types
Components
Type |
Visibility | Attributes |
|
Name |
| Initial | |
type(Substances),
|
public |
|
:: |
components |
|
|
Substances contained in the module
|
Type-Bound Procedures
Subroutines
Arguments
Type |
Intent | Optional | Attributes |
|
Name |
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class(GeModelAdiff),
|
intent(in) |
|
|
:: |
self |
|
real(kind=pr),
|
intent(in) |
|
|
:: |
n(:) |
|
real(kind=pr),
|
intent(in) |
|
|
:: |
t |
|
real(kind=pr),
|
intent(out), |
optional |
|
:: |
Ge |
|
real(kind=pr),
|
intent(out), |
optional |
|
:: |
GeT |
|
real(kind=pr),
|
intent(out), |
optional |
|
:: |
GeT2 |
|
real(kind=pr),
|
intent(out), |
optional, |
dimension(size(n))
|
:: |
Gen |
|
real(kind=pr),
|
intent(out), |
optional, |
dimension(size(n))
|
:: |
GeTn |
|
real(kind=pr),
|
intent(out), |
optional |
|
:: |
Gen2(size(n),size(n)) |
|