$darkmode
#include <unsupported/Eigen/src/AutoDiff/AutoDiffScalar.h>
A scalar type replacement with automatic differentiation capability.
| DerivativeType | 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 DerivativeType can also be a reference (e.g., VectorXf&) to wrap a existing vector into an AutoDiffScalar. Finally, DerivativeType 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 Eigen::internal::auto_diff_special_op< DerivativeType, Enable >.
Public Member Functions | |
| AutoDiffScalar () | |
| AutoDiffScalar (const Scalar &value, int nbDer, int derNumber) | |
| AutoDiffScalar (const Real &value) | |
| AutoDiffScalar (const Scalar &value, const DerType &der) | |
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Default constructor without any initialization.
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Constructs an active scalar from its value, and initializes the nbDer derivatives such that it corresponds to the derNumber -th variable
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Conversion from a scalar constant to an active scalar. The derivatives are set to zero.
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Constructs an active scalar from its value and derivatives der