| /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();
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| 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.
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| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| StemFunction.h | 23 /** \brief The exponential function (and its derivatives). */
29 /** \brief Cosine (and its derivatives). */
50 /** \brief Sine (and its derivatives). */
71 /** \brief Hyperbolic cosine (and its derivatives). */
86 /** \brief Hyperbolic sine (and its derivatives). */
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| /external/replicaisland/src/com/replica/replicaisland/ |
| AllocationGuard.java | 22 * allocation of AllocationGuard or its derivatives will cause an error log entry. Note
23 * that AllocationGuard requires all of its derivatives to call super() in their constructor.
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| CollisionVolume.java | 27 * its derivatives is safe to share amongst many game object instances.
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| /external/eigen/unsupported/Eigen/src/Splines/ |
| SplineFwd.h | 33 enum { NumOfDerivativesAtCompileTime = OrderAtCompileTime /*!< The number of derivatives defined for the current spline. */ };
38 /** \brief The data type used to store the values of the basis function derivatives. */
64 enum { NumOfDerivativesAtCompileTime = _DerivativeOrder==Dynamic ? Dynamic : _DerivativeOrder+1 /*!< The number of derivatives defined for the current spline. */ };
66 /** \brief The data type used to store the values of the basis function derivatives. */
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| 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
[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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| /external/ceres-solver/include/ceres/ |
| gradient_checker.h | 33 // that it is computing reasonable derivatives. It compares the Jacobians
54 // gives with derivatives estimated using finite differencing.
80 // Derivatives as computed by the cost function.
83 // Derivatives as computed by finite differencing.
191 LOG(INFO) << "========== term-computed derivatives ==========";
197 LOG(INFO) << "========== finite-difference derivatives ==========";
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| cost_function.h | 39 // shorter code and faster execution than hand-coded derivatives. However,
92 // If jacobians is NULL, then no derivatives are returned; this is
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| loss_function.h | 90 // is required to fill in the value and derivatives of the loss
145 // The first and second derivatives are:
263 // In addition, all derivatives are continuous, and the curvature is
300 // The first and second derivatives are, not surprisingly
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| /external/ceres-solver/internal/ceres/ |
| gradient_checker_test.cc | 84 // in the derivatives.
87 // Accumulate 1st order derivatives.
137 // in the derivatives.
140 // Accumulate 1st order derivatives.
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| program.cc | 189 int derivatives = 0; local
193 derivatives += residual_block->NumResiduals() *
196 max_derivatives = max(max_derivatives, derivatives);
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| corrector.h | 52 // second derivatives of the LossFunction. It precalculates some of
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| gradient_checking_cost_function.h | 69 // which checks its derivatives against estimates from numeric
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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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| /external/javasqlite/ |
| NOTICE | 18 DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE
|
| /packages/apps/Gallery2/src/com/android/gallery3d/filtershow/ui/ |
| Spline.java | 133 double[] derivatives = solveSystem(points); local
166 // Use the second derivatives to apply the cubic spline
174 double tc = (a * a * a - a) * derivatives[pivot];
175 double td = (b * b * b - b) * derivatives[pivot + 1];
235 // To find the second derivatives y", we can rearrange the equation as:
244 // We can now easily solve the equation to find the second derivatives:
250 double[] derivatives = solveSystem(points); local
261 // Use the second derivatives to apply the cubic spline
269 double tc = (a * a * a - a) * derivatives[i];
270 double td = (b * b * b - b) * derivatives[i + 1]
[all...] |
| /external/apache-xml/src/main/java/org/apache/xpath/ |
| XPathFactory.java | 28 * Factory class for creating an XPath. Implementors of XPath derivatives
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| /bootable/recovery/fonts/ |
| OFL.txt | 23 names are not used by derivative works. The fonts and derivatives,
26 to any document created using the fonts or their derivatives.
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| /external/naver-fonts/ |
| NOTICE | 25 names are not used by derivative works. The fonts and derivatives,
28 to any document created using the fonts or their derivatives.
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| /external/ceres-solver/examples/ |
| quadratic_auto_diff.cc | 49 // around it to generate its derivatives.
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| /external/opencv/cv/src/ |
| cvoptflowhs.cpp | 78 // 2.For calculating spatial derivatives we use 3x3 Sobel operator.
119 /* buffers derivatives product */
232 * begin scan image, calc derivatives *
241 /*Here we calculate derivatives for line of image */
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| /external/valgrind/main/ |
| AUTHORS | 24 created a set of ppc-linux derivatives of the 2.X release line.
|
