HomeSort by relevance Sort by last modified time
    Searched full:derivatives (Results 1 - 25 of 277) sorted by null

1 2 3 4 5 6 7 8 91011>>

  /external/eigen/unsupported/Eigen/src/AutoDiff/
AutoDiffScalar.h 36 * \param _DerType the vector type used to store/represent the derivatives. The base scalar type
37 * as well as the number of derivatives to compute are determined from this type.
38 * Typical choices include, e.g., \c Vector4f for 4 derivatives, or \c VectorXf
39 * if the number of derivatives is not known at compile time, and/or, the number
40 * of derivatives is large.
45 * This class represents a scalar value while tracking its respective derivatives using Eigen's expression
55 * while derivatives are computed right away.
80 and initializes the \a nbDer derivatives such that it corresponds to the \a derNumber -th variable */
88 * The derivatives are set to zero. */
96 /** Constructs an active scalar from its \a value and derivatives \a der *
136 inline const DerType& derivatives() const { return m_derivatives; } function in class:Eigen::AutoDiffScalar
137 inline DerType& derivatives() { return m_derivatives; } function in class:Eigen::AutoDiffScalar
    [all...]
AutoDiffJacobian.h 64 av[j].derivatives().resize(this->inputs());
67 ax[i].derivatives() = DerivativeType::Unit(this->inputs(),i);
74 jac.row(i) = av[i].derivatives();
AutoDiffVector.h 18 * \param DerType the vector type used to store/represent the derivatives (e.g. Vector3f)
20 * This class represents a scalar value while tracking its respective derivatives.
29 * while derivatives are computed right away.