/external/libopus/silk/fixed/ |
corrMatrix_FIX.c | 108 /* Fill out the diagonal of the correlation matrix */ 127 /* Calculate remaining off diagonal: X[:,j]'*X[:,j + lag] */ 144 /* Calculate remaining off diagonal: X[:,j]'*X[:,j + lag] */
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/sdk/files/ |
devices.xml | 12 <d:diagonal-length>3.7</d:diagonal-length> 87 <d:diagonal-length>4</d:diagonal-length> 200 <d:diagonal-length>4.65</d:diagonal-length> <!-- In inches --> 331 <d:diagonal-length>7.27</d:diagonal-length> 410 <d:diagonal-length>4.7</d:diagonal-length [all...] |
/external/eigen/Eigen/src/Eigenvalues/ |
ComplexEigenSolver.h | 32 * \f$. If \f$ D \f$ is a diagonal matrix with the eigenvalues on 33 * the diagonal, and \f$ V \f$ is a matrix with the eigenvectors as 266 // The eigenvalues are on the diagonal of T. 271 m_eivalues = m_schur.matrixT().diagonal(); 288 // Compute X such that T = X D X^(-1), where D is the diagonal of T.
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EigenSolver.h | 31 * \f$ D \f$ is a diagonal matrix with the eigenvalues on the diagonal, and 39 * matrix \f$ D \f$ is not required to be diagonal, but if it is allowed to 42 * (where \f$ u \f$ and \f$ v \f$ are real numbers) on the diagonal. These 190 * block-diagonal matrix \f$ D \f$ returned by pseudoEigenvalueMatrix() 205 /** \brief Returns the block-diagonal matrix in the pseudo-eigendecomposition. 207 * \returns A block-diagonal matrix. 214 * block-diagonal. The blocks on the diagonal are either 1-by-1 or 2-by-2
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/external/eigen/bench/ |
eig33.cpp | 130 // tmp.diagonal().array() -= evals(0); 134 // tmp.diagonal().array() -= evals(1); 138 // tmp.diagonal().array() -= evals(2); 150 tmp.diagonal ().array () -= evals (2); 154 tmp.diagonal ().array () -= evals (1);
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/external/eigen/blas/fortran/ |
chbmv.f | 55 * column, with the leading diagonal of the matrix in row 56 * ( k + 1 ) of the array, the first super-diagonal starting at 73 * column, with the leading diagonal of the matrix in row 1 of 74 * the array, the first sub-diagonal starting at position 1 in 88 * Note that the imaginary parts of the diagonal elements need
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zhbmv.f | 55 * column, with the leading diagonal of the matrix in row 56 * ( k + 1 ) of the array, the first super-diagonal starting at 73 * column, with the leading diagonal of the matrix in row 1 of 74 * the array, the first sub-diagonal starting at position 1 in 88 * Note that the imaginary parts of the diagonal elements need
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dsbmv.f | 55 * column, with the leading diagonal of the matrix in row 56 * ( k + 1 ) of the array, the first super-diagonal starting at 73 * column, with the leading diagonal of the matrix in row 1 of 74 * the array, the first sub-diagonal starting at position 1 in
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/external/gemmlowp/internal/ |
kernel.h | 73 // There is also a third possibility, "diagonal order", 123 enum class CellOrder { DepthMajor, WidthMajor, Diagonal }; 169 case CellOrder::Diagonal: 170 return "Diagonal"; 185 case CellOrder::Diagonal:
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/external/eigen/Eigen/src/Core/products/ |
CoeffBasedProduct.h | 204 const Diagonal<const LazyCoeffBasedProductType,0> diagonal() const function in class:Eigen::CoeffBasedProduct 208 const Diagonal<const LazyCoeffBasedProductType,DiagonalIndex> diagonal() const function in class:Eigen::CoeffBasedProduct 211 const Diagonal<const LazyCoeffBasedProductType,Dynamic> diagonal(Index index) const function in class:Eigen::CoeffBasedProduct 212 { return reinterpret_cast<const LazyCoeffBasedProductType&>(*this).diagonal(index); }
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TriangularMatrixMatrix_MKL.h | 167 a_tmp.diagonal().setZero(); \ 169 a_tmp.diagonal().setOnes();\ 281 a_tmp.diagonal().setZero(); \ 283 a_tmp.diagonal().setOnes();\
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/external/eigen/Eigen/src/Core/util/ |
Constants.h | 137 * outerStride(), innerStride(), and the RowMajorBit. This rules out expressions such as Diagonal, whose coefficients, 170 /** %Matrix has ones on the diagonal; to be used in combination with #Lower or #Upper. */ 172 /** %Matrix has zeros on the diagonal; to be used in combination with #Lower or #Upper. */ 174 /** View matrix as a lower triangular matrix with ones on the diagonal. */ 176 /** View matrix as an upper triangular matrix with ones on the diagonal. */ 178 /** View matrix as a lower triangular matrix with zeros on the diagonal. */ 180 /** View matrix as an upper triangular matrix with zeros on the diagonal. */
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/external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
MatrixFunction.h | 240 VectorType diag = m_T.diagonal(); // contains eigenvalues of A 290 VectorType diag = m_T.diagonal(); 360 /** \brief Compute block diagonal part of #m_fT. 362 * This routine computes the matrix function applied to the block diagonal part of #m_T, with the blocking 363 * given by #m_blockStart. The matrix function of each diagonal block is computed by #m_atomic. The 364 * off-diagonal parts of #m_fT are set to zero. 383 /** \brief Compute part of #m_fT above block diagonal. 385 * This routine assumes that the block diagonal part of #m_fT (which 387 * the part above the block diagonal. The part below the diagonal i [all...] |
/external/opencv3/3rdparty/openexr/Imath/ |
ImathMatrixAlgo.cpp | 150 // Compute the SVD: C = U D V^T (U,V rotations, D diagonal). 332 // since if the matrix is already diagonal we'll end up with the identity 393 // We've decided that the off-diagonal entries are already small 473 // since if the matrix is already diagonal we'll end up with the identity 534 // We've decided that the off-diagonal entries are already small 667 // off-diagonal entries of the matrix, 2 at a time. Basically, 682 // However, if we keep doing this, we'll find that the off-diagonal entries 684 // result is a diagonal A matrix and a bunch of orthogonal transforms: 714 // The off-diagonal entries are (effectively) 0, so whatever's left on the 715 // diagonal are the singular values [all...] |
/external/ImageMagick/ImageMagick/script/ |
gradient.html | 143 top/bottom/left/right or diagonal corners.</td> 147 <td><code>-define gradient:extent=<em>{Circle, Diagonal, Ellipse, Maximum, Minimum}</code></td> 154 half-width and half-height of the image. The Diagonal option draws a 156 to the half-diagonal of the image. The Ellipse options draws an elliptical 187 <p>Examples of radial gradients going from black in the center to white at the boundary for the cases of "maximum/circle/default", "minimum", "diagonal", "ellipse" and 45 degree rotated ellipse, respectively, follow below.</p> 203 convert -size 256x128 -define gradient:extent=diagonal radial-gradient:black-white radial_gradient_diagonal.png
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/external/ImageMagick/www/ |
gradient.html | 147 top/bottom/left/right or diagonal corners.</td> 151 <td><code>-define gradient:extent=<em>{Circle, Diagonal, Ellipse, Maximum, Minimum}</code></td> 158 half-width and half-height of the image. The Diagonal option draws a 160 to the half-diagonal of the image. The Ellipse options draws an elliptical 191 <p>Examples of radial gradients going from black in the center to white at the boundary for the cases of "maximum/circle/default", "minimum", "diagonal", "ellipse" and 45 degree rotated ellipse, respectively, follow below.</p> 207 convert -size 256x128 -define gradient:extent=diagonal radial-gradient:black-white radial_gradient_diagonal.png
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/external/libhevc/common/ |
ihevc_common_tables.c | 233 /* Upright diagonal */ 273 /* Upright diagonal */ 301 /* Upright diagonal */ 324 /* Upright diagonal */ 364 /* Upright diagonal */ 392 /* Upright diagonal */
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/external/apache-commons-math/src/main/java/org/apache/commons/math/estimation/ |
LevenbergMarquardtEstimator.java | 115 /** Diagonal elements of the R matrix in the Q.R. decomposition. */ 287 // so let jacobian contain the R matrix with its diagonal elements 492 * @param diag diagonal matrix 668 * @param diag diagonal matrix 669 * @param lmDiag diagonal elements associated with lmDir 676 // in particular, save the diagonal elements of R in lmDir 686 // eliminate the diagonal matrix d using a Givens rotation 690 // diagonal element using p from the Q.R. factorization 722 // compute the modified diagonal element of R and 740 // store the diagonal element of s and restor [all...] |
/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/ |
LevenbergMarquardtOptimizer.java | 112 /** Diagonal elements of the R matrix in the Q.R. decomposition. */ 287 // so let jacobian contain the R matrix with its diagonal elements 499 * @param diag diagonal matrix 669 * @param diag diagonal matrix 670 * @param lmDiag diagonal elements associated with lmDir 677 // in particular, save the diagonal elements of R in lmDir 687 // eliminate the diagonal matrix d using a Givens rotation 691 // diagonal element using p from the Q.R. factorization 723 // compute the modified diagonal element of R and 741 // store the diagonal element of s and restor [all...] |
/external/autotest/client/site_tests/firmware_TouchMTB/ |
firmware_constants.py | 68 GV.DIAGONAL = 'diagonal' 87 GV.DIAGONAL_DIRECTIONS = [GV.DIAGONAL, GV.BLTR, GV.BRTL, GV.TRBL, GV.TLBR,
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test_conf.py | 429 GV.BLTR: ('diagonal', 'from bottom left to top right',), 430 GV.TRBL: ('diagonal', 'from top right to bottom left',), 485 GV.BLTR: ('diagonal', 'from bottom left to top right',), 486 GV.TRBL: ('diagonal', 'from top right to bottom left',), 616 variations=(GV.HORIZONTAL, GV.VERTICAL, GV.DIAGONAL), 622 GV.DIAGONAL: ('diagonally',), 773 GV.TLBR: ('diagonal', 'from the top left to the bottom right',), [all...] |
/external/ceres-solver/internal/ceres/ |
schur_eliminator_test.cc | 127 void EliminateSolveAndCompare(const VectorRef& diagonal, 157 eliminator->Eliminate(A.get(), b.get(), diagonal.data(), &lhs, rhs.data()); 172 diagonal.data(),
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cgnr_solver.h | 50 // block diagonal preconditioning is supported.
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/external/eigen/test/ |
product_notemporary.cpp | 110 VERIFY_EVALUATION_COUNT( Scalar tmp = 0; tmp += Scalar(RealScalar(1)) / (m3.transpose().lazyProduct(m3)).diagonal().sum(), 0 ); 113 VERIFY_EVALUATION_COUNT( Scalar tmp = 0; tmp += Scalar(RealScalar(1)) / (m3.transpose() * m3).diagonal().sum(), 0 ); 114 VERIFY_EVALUATION_COUNT( Scalar tmp = 0; tmp += Scalar(RealScalar(1)) / (m3.transpose() * m3).diagonal().array().abs().sum(), 0 );
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/cts/tests/tests/graphics/src/android/graphics/drawable/shapes/cts/ |
ArcShapeTest.java | 68 // count number of pixels with TEST_COLOR_2 along diagonal
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