| /external/eigen/unsupported/Eigen/src/AutoDiff/ |
| 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();
|
| 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...] |
| /packages/apps/Gallery2/src/com/android/gallery3d/filtershow/filters/ |
| SplineMath.java | 26 double[] derivatives = solveSystem(points); local
55 // Use the second derivatives to apply the cubic spline
63 double tc = (a * a * a - a) * derivatives[pivot];
64 double td = (b * b * b - b) * derivatives[pivot + 1];
96 // Use the second derivatives to apply the cubic spline
|
| /packages/apps/Gallery2/src/com/android/gallery3d/filtershow/imageshow/ |
| Spline.java | 155 double[] derivatives = solveSystem(points); local
188 // Use the second derivatives to apply the cubic spline
196 double tc = (a * a * a - a) * derivatives[pivot];
197 double td = (b * b * b - b) * derivatives[pivot + 1];
257 // To find the second derivatives y", we can rearrange the equation as:
266 // We can now easily solve the equation to find the second derivatives:
272 double[] derivatives = solveSystem(points); local
283 // Use the second derivatives to apply the cubic spline
291 double tc = (a * a * a - a) * derivatives[i];
292 double td = (b * b * b - b) * derivatives[i + 1]
[all...] |
| /external/eigen/unsupported/test/ |
| autodiff.cpp | 131 // TODO also check actual derivatives!
142 // TODO also check actual derivatives!
149 ap.x().derivatives() = Vector2f::UnitX();
150 ap.y().derivatives() = Vector2f::UnitY();
|
| /external/ceres-solver/internal/ceres/ |
| program.cc | 474 int derivatives = 0; local
478 derivatives += residual_block->NumResiduals() *
481 max_derivatives = max(max_derivatives, derivatives);
|
| /external/eigen/unsupported/Eigen/src/Splines/ |
| Spline.h | 109 * \brief Evaluation of spline derivatives of up-to given order.
118 * \param order The order up to which the derivatives are computed.
121 derivatives(Scalar u, DenseIndex order) const;
124 * \copydoc Spline::derivatives
130 derivatives(Scalar u, DenseIndex order = DerivativeOrder) const;
152 * \brief Computes the non-zero spline basis function derivatives up to given order.
161 * derivatives are computed.
162 * \param order The order up to which the basis function derivatives are computes.
309 // Retrieve the basis function derivatives up to the desired order...
323 Spline<_Scalar, _Dim, _Degree>::derivatives(Scalar u, DenseIndex order) cons function in class:Eigen::Spline
333 Spline<_Scalar, _Dim, _Degree>::derivatives(Scalar u, DenseIndex order) const function in class:Eigen::Spline
[all...] |
| /external/dnsmasq/contrib/dnslist/ |
| dnslist.pl | 523 of preserving the free status of all derivatives of our free software and
|
