| /external/eigen/unsupported/test/ |
| autodiff_scalar.cpp | 32 VERIFY_IS_APPROX(res.derivatives(), x.derivatives());
36 VERIFY_IS_APPROX(res.derivatives(), x.derivatives());
52 VERIFY_IS_APPROX(res1.derivatives().x(), Scalar(1.0) / (cosh_px * cosh_px));
56 VERIFY_IS_APPROX(res2.derivatives().x(), cosh_px);
60 VERIFY_IS_APPROX(res3.derivatives().x(), std::sinh(p.x()));
66 VERIFY_IS_APPROX(res1.derivatives().x(), Scalar(0.896629559604914));
69 VERIFY_IS_APPROX(res2.derivatives().x(), Scalar(1.056071867829939));
72 VERIFY_IS_APPROX(res3.derivatives().x(), Scalar(0.339540557256150))
[all...] |
| autodiff.cpp | 214 // TODO also check actual derivatives!
227 // TODO also check actual derivatives!
235 ap.x().derivatives() = Vector2f::UnitX();
236 ap.y().derivatives() = Vector2f::UnitY();
268 //set unit vectors for the derivative directions (partial derivatives of the input vector)
269 x(0).derivatives().resize(2);
270 x(0).derivatives().setZero();
271 x(0).derivatives()(0)= 1;
272 x(1).derivatives().resize(2);
273 x(1).derivatives().setZero()
[all...] |
| splines.cpp | 251 ArrayXXd derivatives = ArrayXXd::Random(dimension, numPoints); local
258 points, derivatives, derivativeIndices, degree);
265 PointType derivative = spline.derivatives(knots(i), 1).col(1);
266 PointType referenceDerivative = derivatives.col(i);
|
| /external/eigen/unsupported/Eigen/src/AutoDiff/ |
| AutoDiffScalar.h | 43 * \param _DerType the vector type used to store/represent the derivatives. The base scalar type
44 * as well as the number of derivatives to compute are determined from this type.
45 * Typical choices include, e.g., \c Vector4f for 4 derivatives, or \c VectorXf
46 * if the number of derivatives is not known at compile time, and/or, the number
47 * of derivatives is large.
52 * This class represents a scalar value while tracking its respective derivatives using Eigen's expression
62 * while derivatives are computed right away.
87 and initializes the \a nbDer derivatives such that it corresponds to the \a derNumber -th variable */
95 * The derivatives are set to zero. */
103 /** Constructs an active scalar from its \a value and derivatives \a der *
157 inline const DerType& derivatives() const { return m_derivatives; } function in class:Eigen::AutoDiffScalar
158 inline DerType& derivatives() { return m_derivatives; } function in class:Eigen::AutoDiffScalar
[all...] |
| AutoDiffJacobian.h | 87 av[j].derivatives().resize(x.rows());
90 ax[i].derivatives() = DerivativeType::Unit(x.rows(),i);
101 jac.row(i) = av[i].derivatives();
|
| /external/eigen/unsupported/Eigen/src/Splines/ |
| SplineFitting.h | 243 * derivatives.
246 * \param derivatives The desired derivatives of the interpolating spline at interpolation
249 * must be the same size as @a derivatives.
252 * \returns A spline interpolating @a points with @a derivatives at those points.
260 const PointArrayType& derivatives,
265 * \brief Fits an interpolating spline to the given data points and derivatives.
268 * \param derivatives The desired derivatives of the interpolating spline at interpolation points.
270 * must be the same size as @a derivatives
[all...] |
| Spline.h | 54 /** \brief The data type used to store the values of the basis function derivatives. */
115 * \brief Evaluation of spline derivatives of up-to given order.
124 * \param order The order up to which the derivatives are computed.
127 derivatives(Scalar u, DenseIndex order) const;
130 * \copydoc Spline::derivatives
136 derivatives(Scalar u, DenseIndex order = DerivativeOrder) const;
158 * \brief Computes the non-zero spline basis function derivatives up to given order.
167 * derivatives are computed.
168 * \param order The order up to which the basis function derivatives are computes.
330 // Retrieve the basis function derivatives up to the desired order...
344 Spline<_Scalar, _Dim, _Degree>::derivatives(Scalar u, DenseIndex order) const function in class:Eigen::Spline
354 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
|
| /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...] |
| /prebuilts/go/darwin-x86/src/syscall/ |
| types_solaris.go | 20 // OpenSolaris-based derivatives.
|
| /prebuilts/go/linux-x86/src/syscall/ |
| types_solaris.go | 20 // OpenSolaris-based derivatives.
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| bijector_impl.py | 142 derivatives of the inverse function."\
|
| /external/deqp/external/openglcts/modules/gl/ |
| gl3cTextureSwizzleTests.cpp | 3303 std::string derivatives = "TYPE(VAL_LIST)"; local
[all...] |
| /prebuilts/jdk/jdk9/darwin-x86/legal/jdk.crypto.ec/ |
| ecc.md | 506 of all derivatives of our free software and of promoting the sharing
|
| /prebuilts/jdk/jdk9/linux-x86/legal/jdk.crypto.ec/ |
| ecc.md | 506 of all derivatives of our free software and of promoting the sharing
|
