| /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();
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| 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
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| /external/ceres-solver/internal/ceres/ |
| program.cc | 189 int derivatives = 0; local
193 derivatives += residual_block->NumResiduals() *
196 max_derivatives = max(max_derivatives, derivatives);
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| /external/eigen/unsupported/test/ |
| autodiff.cpp | 138 << res.derivatives().transpose() << "\n\n";
147 p.x().derivatives() = Vector2f::UnitX();
148 p.y().derivatives() = Vector2f::UnitY();
152 << res.derivatives().transpose() << "\n\n";
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| /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
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| /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]
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| /external/eigen/unsupported/Eigen/src/Splines/ |
| Spline.h | 94 * \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(Scalar u, DenseIndex order) cons 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/dnsmasq/contrib/dnslist/ |
| dnslist.pl | 523 of preserving the free status of all derivatives of our free software and
|
| /external/e2fsprogs/lib/et/ |
| texinfo.tex | 97 %all derivatives of our free software and of promoting the sharing and reuse of
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