Searched defs:derivatives (Results 1 - 3 of 3) sorted by relevance

/external/ceres-solver/internal/ceres/
H A Dprogram.cc189 int derivatives = 0; local
193 derivatives += residual_block->NumResiduals() *
196 max_derivatives = max(max_derivatives, derivatives);
/external/eigen/unsupported/Eigen/src/Splines/
H A DSpline.h94 * \brief Evaluation of spline derivatives of up-to given order.
103 * \param order The order up to which the derivatives are computed.
106 derivatives(Scalar u, DenseIndex order) const;
109 * \copydoc Spline::derivatives
115 derivatives(Scalar u, DenseIndex order = DerivativeOrder) const;
137 * \brief Computes the non-zero spline basis function derivatives up to given order.
146 * derivatives are computed.
147 * \param order The order up to which the basis function derivatives are computes.
298 // Retrieve the basis function derivatives up to the desired order...
312 Spline<_Scalar, _Dim, _Degree>::derivatives(Scala function in class:Eigen::Spline
322 Spline<_Scalar, _Dim, _Degree>::derivatives(Scalar u, DenseIndex order) const function in class:Eigen::Spline
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/external/eigen/unsupported/Eigen/src/AutoDiff/
H A DAutoDiffScalar.h36 * \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 \
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
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