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Reference documentation for deal.II version 9.6.0
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Namespaces | |
namespace | internal |
Classes | |
struct | ADNumberTraits |
class | CellLevelBase |
class | EnergyFunctional |
class | HelperBase |
struct | is_ad_number |
struct | is_adolc_number |
struct | is_adolc_taped_number |
struct | is_adolc_tapeless_number |
struct | is_complex_valued_ad_number |
struct | is_real_valued_ad_number |
struct | is_sacado_dfad_number |
struct | is_sacado_number |
struct | is_sacado_rad_number |
struct | is_taped_ad_number |
struct | is_tapeless_ad_number |
struct | Numbers |
struct | NumberTraits |
class | PointLevelFunctionsBase |
class | ResidualLinearization |
class | ScalarFunction |
struct | TapedDrivers |
struct | TapelessDrivers |
struct | Types |
class | VectorFunction |
Enumerations | |
enum class | NumberTypes { none , adolc_taped , adolc_tapeless , sacado_dfad , sacado_dfad_dfad , sacado_rad , sacado_rad_dfad } |
Functions | |
static ::ExceptionBase & | ExcRequiresADNumberSpecialization () |
static ::ExceptionBase & | ExcRequiresADOLC () |
static ::ExceptionBase & | ExcSupportedDerivativeLevels (std::size_t arg1, std::size_t arg2) |
Wrappers for automatic differentiation libraries. Currently there is support for the following libraries:
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strong |
An enumeration to indicate which type of auto-differentiable number is to be used for computations. If a type that is selected for use is not available in the library, a run-time error will be thrown.
Enumerator | |
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none | A dummy type for floating point numbers (i.e., non-differentiable scalar types). This option exists to facilitate the use of template meta-programming techniques to select, based on this enumeration, which auto-differentiable number type will be used to perform calculations. It will not permit any computations because the underlying number types resulting from its selection are floating point types, rather than auto-differentiable numbers. |
adolc_taped | Taped forward and reverse-mode ADOL-C number type (n-differentiable). First derivatives will be computed using reverse mode, while the second derivatives will be computed using forward mode. Even higher-order derivatives can be computed using ADOL-C's own driver functions. |
adolc_tapeless | Tapeless dynamic forward-mode ADOL-C number type (once differentiable). |
sacado_dfad | Tapeless dynamic forward-mode Sacado number type (once differentiable). |
sacado_dfad_dfad | Tapeless nested dynamic forward-mode Sacado number type (twice differentiable). Both the first and second derivatives will be computed using forward mode. |
sacado_rad | Tapeless reverse-mode Sacado number type (once differentiable). |
sacado_rad_dfad | Tapeless nested reverse-mode and dynamic forward-mode Sacado number type (twice differentiable). First derivatives will be computed using reverse mode, while the second derivatives will be computed using forward mode. Note that the repeated use of the nested reverse-forward mode results in a memory leak described in this Trilinos issue. |
Definition at line 33 of file ad_number_types.h.