Searched refs:jacobian (Results 1 - 16 of 16) sorted by relevance

/external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/
H A DDifferentiableMultivariateVectorialFunction.java31 * Returns the jacobian function.
32 * @return the jacobian function
34 MultivariateMatrixFunction jacobian(); method in interface:DifferentiableMultivariateVectorialFunction
/external/apache-commons-math/src/main/java/org/apache/commons/math/estimation/
H A DLevenbergMarquardtEstimator.java32 * to their jacobian column norm. Only the rank of the matrix and some loop bounds
118 /** Norms of the columns of the jacobian matrix. */
127 /** Rank of the jacobian matrix. */
146 * and the columns of the jacobian. */
212 * between the function vector and the columns of the jacobian
279 // compute the Q.R. decomposition of the jacobian matrix
287 // so let jacobian contain the R matrix with its diagonal elements
290 jacobian[k * cols + pk] = diagR[pk];
296 // of the initial jacobian
314 // check orthogonality between function vector and jacobian column
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H A DAbstractEstimator.java32 * settings, jacobian and error estimation.</p>
58 protected double[] jacobian; field in class:AbstractEstimator
60 /** Number of columns of the jacobian matrix. */
63 /** Number of rows of the jacobian matrix. */
83 /** Number of jacobian evaluations. */
115 * Get the number of jacobian evaluations.
117 * @return number of jacobian evaluations
124 * Update the jacobian matrix.
128 Arrays.fill(jacobian, 0);
134 jacobian[inde
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/external/eigen/unsupported/Eigen/src/AutoDiff/
H A DAutoDiffVector.h73 : m_values(other.values()), m_jacobian(other.jacobian())
77 : m_values(other.values()), m_jacobian(other.jacobian())
84 m_jacobian = other.jacobian();
91 m_jacobian = other.jacobian();
98 inline const JacobianType& jacobian() const { return m_jacobian; } function in class:Eigen::AutoDiffVector
99 inline JacobianType& jacobian() { return m_jacobian; } function in class:Eigen::AutoDiffVector
111 m_jacobian + other.jacobian());
119 m_jacobian += other.jacobian();
133 m_jacobian - other.jacobian());
141 m_jacobian -= other.jacobian();
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/
H A DCurveFitter.java163 public MultivariateMatrixFunction jacobian() { method in class:CurveFitter.TheoreticalValuesFunction
168 final double[][] jacobian = new double[observations.size()][];
172 jacobian[i++] = f.gradient(observed.getX(), point);
175 return jacobian;
/external/tensorflow/tensorflow/python/ops/
H A Dgradient_checker.py71 during the jacobian calculation.
86 # To compute the jacobian, we treat x and y as one-dimensional vectors.
93 jacobian = np.zeros((x_size, dy_size),
111 jacobian[r_begin:r_end, col] += v.flat
116 jacobian[:, col] = backprop.ravel().view(jacobian.dtype)
130 logging.vlog(1, "Theoretical Jacobian =\n%s", jacobian)
131 return jacobian
149 during the jacobian calculation.
166 # To compute the jacobian, w
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/
H A DAbstractLeastSquaresOptimizer.java40 * settings, jacobian and error estimation.</p>
60 protected double[][] jacobian; field in class:AbstractLeastSquaresOptimizer
62 /** Number of columns of the jacobian matrix. */
65 /** Number of rows of the jacobian matrix. */
110 /** Number of jacobian evaluations. */
186 * Update the jacobian matrix.
187 * @exception FunctionEvaluationException if the function jacobian
192 jacobian = jF.value(point);
193 if (jacobian.length != rows) {
195 jacobian
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H A DGaussNewtonOptimizer.java73 // evaluate the objective function and its jacobian
84 final double[] grad = jacobian[i];
/external/tensorflow/tensorflow/cc/framework/
H A Dgradient_checker.cc60 // SetJacobian sets the jacobian value at the provided row and column from a
63 // jacobian type.
68 typename TTypes<JAC_T>::Matrix* jacobian, const int row, const int col,
70 (*jacobian)(row, col) = JAC_T{value};
75 typename TTypes<JAC_T>::Matrix* jacobian, const int row, const int col,
77 (*jacobian)(row, col) = JAC_T{value.real()};
79 (*jacobian)(row + 1, col) = JAC_T{value.imag()};
81 (*jacobian)(row, col + 1) = JAC_T{value.imag()};
139 // x_stride and y_stride are used to calculate the correct jacobian row and
162 auto jacobian local
67 SetJacobian( typename TTypes<JAC_T>::Matrix* jacobian, const int row, const int col, const T& value, const bool expand_by_row) argument
74 SetJacobian( typename TTypes<JAC_T>::Matrix* jacobian, const int row, const int col, const T& value, const bool expand_by_row) argument
251 auto jacobian = (*jacobian_ts)[x_idx * y_num + y_idx].matrix<JAC_T>(); local
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/external/eigen/unsupported/test/
H A Dautodiff.cpp136 void operator() (const T1 &input, T2 *output, T3 *jacobian, const Scalar dt) const argument
144 if (jacobian)
146 T3 &j = *jacobian;
/external/opencv/cv/src/
H A Dcvcalibration.cpp487 cvRodrigues2( const CvMat* src, CvMat* dst, CvMat* jacobian )
516 if( jacobian )
518 if( !CV_IS_MAT(jacobian) )
521 if( !CV_ARE_DEPTHS_EQ(src, jacobian) || CV_MAT_CN(jacobian->type) != 1 )
524 if( (jacobian->rows != 9 || jacobian->cols != 3) &&
525 (jacobian->rows != 3 || jacobian->cols != 9))
558 if( jacobian )
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/external/eigen/unsupported/Eigen/src/LevenbergMarquardt/
H A DLevenbergMarquardt.h196 /** \returns a reference to the diagonal of the jacobian */
205 /** \returns the number of jacobian evaluation */
223 JacobianType& jacobian() {return m_fjac; } function in class:Eigen::LevenbergMarquardt
225 /** \returns a reference to the triangular matrix R from the QR of the jacobian matrix.
226 * \sa jacobian()
250 JacobianType m_rfactor; // The triangular matrix R from the QR of the jacobian matrix m_fjac
302 //FIXME Sparse Case : Allocate space for the jacobian
/external/opencv/cv/include/
H A Dcvcompat.h692 CvMat* jacobian, int conv_type )
695 cvRodrigues2( rotation_vector, rotation_matrix, jacobian );
697 cvRodrigues2( rotation_matrix, rotation_vector, jacobian );
691 cvRodrigues( CvMat* rotation_matrix, CvMat* rotation_vector, CvMat* jacobian, int conv_type ) argument
H A Dcv.h1192 CvMat* jacobian CV_DEFAULT(0) );
/external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/
H A Dcsiszar_divergence_test.py939 def jacobian(x): function in function:CsiszarVIMCOTest.test_vimco_and_gradient
957 jacobian(q.log_prob(x)),
974 # - jacobian[log(q(x))].
/external/conscrypt/benchmark-android/
H A Dvogar.jarMETA-INF/ META-INF/MANIFEST.MF vogar/ vogar/TestProperties.class TestProperties.java package vogar ...

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