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Eigen-unsupported
3.2.8
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A scalar type replacement with automatic differentation capability.
| _DerType | the vector type used to store/represent the derivatives. The base scalar type as well as the number of derivatives to compute are determined from this type. Typical choices include, e.g., Vector4f for 4 derivatives, or VectorXf if the number of derivatives is not known at compile time, and/or, the number of derivatives is large. Note that _DerType can also be a reference (e.g., VectorXf&) to wrap a existing vector into an AutoDiffScalar. Finally, _DerType can also be any Eigen compatible expression. |
This class represents a scalar value while tracking its respective derivatives using Eigen's expression template mechanism.
It supports the following list of global math function:
AutoDiffScalar can be used as the scalar type of an Eigen::Matrix object. However, in that case, the expression template mechanism only occurs at the top Matrix level, while derivatives are computed right away.
Inherits auto_diff_special_op< _DerType,!internal::is_same< internal::traits< internal::remove_all< _DerType >::type >::Scalar, NumTraits< internal::traits< internal::remove_all< _DerType >::type >::Scalar >::Real >::value >.
Public Member Functions | |
| AutoDiffScalar () | |
| AutoDiffScalar (const Scalar &value, int nbDer, int derNumber) | |
| AutoDiffScalar (const Real &value) | |
| AutoDiffScalar (const Scalar &value, const DerType &der) | |
| AutoDiffScalar | ( | ) | [inline] |
Default constructor without any initialization.
| AutoDiffScalar | ( | const Scalar & | value, |
| int | nbDer, | ||
| int | derNumber | ||
| ) | [inline] |
Constructs an active scalar from its value, and initializes the nbDer derivatives such that it corresponds to the derNumber -th variable
| AutoDiffScalar | ( | const Real & | value | ) | [inline] |
Conversion from a scalar constant to an active scalar. The derivatives are set to zero.
| AutoDiffScalar | ( | const Scalar & | value, |
| const DerType & | der | ||
| ) | [inline] |
Constructs an active scalar from its value and derivatives der