/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 [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
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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] [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();
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/external/ceres-solver/internal/ceres/ |
program.cc | 474 int derivatives = 0; local 478 derivatives += residual_block->NumResiduals() * 481 max_derivatives = max(max_derivatives, derivatives);
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/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
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