/external/apache-commons-math/src/main/java/org/apache/commons/math/analysis/ |
H A D | DifferentiableMultivariateVectorialFunction.java | 31 * Returns the jacobian function. 32 * @return the jacobian function 34 MultivariateMatrixFunction jacobian(); method in interface:DifferentiableMultivariateVectorialFunction
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/external/apache-commons-math/src/main/java/org/apache/commons/math/estimation/ |
H A D | LevenbergMarquardtEstimator.java | 32 * 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 [all...] |
H A D | AbstractEstimator.java | 32 * 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 [all...] |
/external/eigen/unsupported/Eigen/src/AutoDiff/ |
H A D | AutoDiffVector.h | 73 : 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(); [all...] |
/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/ |
H A D | CurveFitter.java | 163 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;
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/external/tensorflow/tensorflow/python/ops/ |
H A D | gradient_checker.py | 71 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 [all...] |
/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/ |
H A D | AbstractLeastSquaresOptimizer.java | 40 * 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 [all...] |
H A D | GaussNewtonOptimizer.java | 73 // evaluate the objective function and its jacobian 84 final double[] grad = jacobian[i];
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/external/tensorflow/tensorflow/cc/framework/ |
H A D | gradient_checker.cc | 60 // 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 [all...] |
/external/eigen/unsupported/test/ |
H A D | autodiff.cpp | 136 void operator() (const T1 &input, T2 *output, T3 *jacobian, const Scalar dt) const argument 144 if (jacobian) 146 T3 &j = *jacobian;
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/external/opencv/cv/src/ |
H A D | cvcalibration.cpp | 487 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 ) [all...] |
/external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
H A D | LevenbergMarquardt.h | 196 /** \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
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/external/opencv/cv/include/ |
H A D | cvcompat.h | 692 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
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H A D | cv.h | 1192 CvMat* jacobian CV_DEFAULT(0) );
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/external/tensorflow/tensorflow/contrib/bayesflow/python/kernel_tests/ |
H A D | csiszar_divergence_test.py | 939 def jacobian(x): function in function:CsiszarVIMCOTest.test_vimco_and_gradient 957 jacobian(q.log_prob(x)), 974 # - jacobian[log(q(x))].
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/external/conscrypt/benchmark-android/ |
H A D | vogar.jar | META-INF/ META-INF/MANIFEST.MF vogar/ vogar/TestProperties.class TestProperties.java package vogar ... |