/external/ceres-solver/include/ceres/ |
crs_matrix.h | 40 // A compressed row sparse matrix used primarily for communicating the 41 // Jacobian matrix to the user. 48 // A compressed row matrix stores its contents in three arrays, 61 // the matrix. 63 // e.g, consider the 3x4 sparse matrix
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/external/chromium_org/third_party/skia/animations/ |
images#1.xml | 5 <matrix id="initialMatrix" translate="[80,80]" /> 14 <matrix> 16 </matrix> 19 <matrix id="polyMatrix"> 36 </matrix>
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/external/chromium_org/third_party/skia/bench/ |
PictureRecordBench.cpp | 81 // set a matrix on the canvas 82 SkMatrix matrix; variable 83 matrix.setRotate(SkIntToScalar(i % 360)); 84 canvas->setMatrix(matrix); 96 canvas->drawBitmapMatrix(bitmap, matrix);
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/external/chromium_org/third_party/skia/src/core/ |
SkPictureStateTree.h | 32 * A draw call, stores offset into command buffer, a pointer to the matrix, and a pointer to 54 * of offsets into the command buffer to carry out those calls with correct matrix/clip state. 55 * This handles saves/restores, and does all necessary matrix setup. 106 // The matrix of the canvas we're playing back into 109 // Cache of current matrix, so we can avoid redundantly setting it
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SkRecorder.cpp | 136 const SkMatrix& matrix, 138 APPEND(DrawBitmapMatrix, this->copy(paint), delay_copy(bitmap), matrix); 180 const SkMatrix* matrix, const SkPaint& paint) { 186 this->copy(matrix)); 235 void SkRecorder::didConcat(const SkMatrix& matrix) { 236 APPEND(Concat, matrix); 237 INHERITED(didConcat, matrix); 240 void SkRecorder::didSetMatrix(const SkMatrix& matrix) { 241 APPEND(SetMatrix, matrix); 242 INHERITED(didSetMatrix, matrix); [all...] |
/external/eigen/Eigen/src/Cholesky/ |
LLT.h | 23 * \brief Standard Cholesky decomposition (LL^T) of a matrix and associated features 25 * \param MatrixType the type of the matrix of which we are computing the LL^T Cholesky decomposition 30 * matrix A such that A = LL^* = U^*U, where L is lower triangular. 89 LLT(const MatrixType& matrix) 90 : m_matrix(matrix.rows(), matrix.cols()), 93 compute(matrix); 96 /** \returns a view of the upper triangular matrix U */ 103 /** \returns a view of the lower triangular matrix L */ 112 * Since this LLT class assumes anyway that the matrix A is invertible, the solutio [all...] |
LDLT.h | 29 * \brief Robust Cholesky decomposition of a matrix with pivoting 31 * \param MatrixType the type of the matrix of which to compute the LDL^T Cholesky decomposition 36 * matrix \f$ A \f$ such that \f$ A = P^TLDL^*P \f$, where P is a permutation matrix, L 37 * is lower triangular with a unit diagonal and D is a diagonal matrix. 55 Options = MatrixType::Options & ~RowMajorBit, // these are the options for the TmpMatrixType, we need a ColMajor matrix here! 63 typedef Matrix<Scalar, RowsAtCompileTime, 1, Options, MaxRowsAtCompileTime, 1> TmpMatrixType; 98 * This calculates the decomposition for the input \a matrix. 101 LDLT(const MatrixType& matrix) 102 : m_matrix(matrix.rows(), matrix.cols()) [all...] |
/external/eigen/blas/ |
BandTriangularSolver.h | 16 * Solve Ax=b with A a band triangular matrix 25 typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,RowMajor>, 0, OuterStride<> > LhsMap; 26 typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap; 61 typedef Map<const Matrix<LhsScalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > LhsMap; 62 typedef Map<Matrix<RhsScalar,Dynamic,1> > RhsMap;
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ctbmv.f | 13 * CTBMV performs one of the matrix-vector operations 18 * upper or lower triangular band matrix, with ( k + 1 ) diagonals. 24 * On entry, UPLO specifies whether the matrix is an upper or 25 * lower triangular matrix as follows: 27 * UPLO = 'U' or 'u' A is an upper triangular matrix. 29 * UPLO = 'L' or 'l' A is a lower triangular matrix. 57 * On entry, N specifies the order of the matrix A. 63 * super-diagonals of the matrix A. 65 * sub-diagonals of the matrix A. 72 * band part of the matrix of coefficients, supplied column b [all...] |
dtbmv.f | 13 * DTBMV performs one of the matrix-vector operations 18 * upper or lower triangular band matrix, with ( k + 1 ) diagonals. 24 * On entry, UPLO specifies whether the matrix is an upper or 25 * lower triangular matrix as follows: 27 * UPLO = 'U' or 'u' A is an upper triangular matrix. 29 * UPLO = 'L' or 'l' A is a lower triangular matrix. 57 * On entry, N specifies the order of the matrix A. 63 * super-diagonals of the matrix A. 65 * sub-diagonals of the matrix A. 72 * band part of the matrix of coefficients, supplied column b [all...] |
stbmv.f | 13 * STBMV performs one of the matrix-vector operations 18 * upper or lower triangular band matrix, with ( k + 1 ) diagonals. 24 * On entry, UPLO specifies whether the matrix is an upper or 25 * lower triangular matrix as follows: 27 * UPLO = 'U' or 'u' A is an upper triangular matrix. 29 * UPLO = 'L' or 'l' A is a lower triangular matrix. 57 * On entry, N specifies the order of the matrix A. 63 * super-diagonals of the matrix A. 65 * sub-diagonals of the matrix A. 72 * band part of the matrix of coefficients, supplied column b [all...] |
ztbmv.f | 13 * ZTBMV performs one of the matrix-vector operations 18 * upper or lower triangular band matrix, with ( k + 1 ) diagonals. 24 * On entry, UPLO specifies whether the matrix is an upper or 25 * lower triangular matrix as follows: 27 * UPLO = 'U' or 'u' A is an upper triangular matrix. 29 * UPLO = 'L' or 'l' A is a lower triangular matrix. 57 * On entry, N specifies the order of the matrix A. 63 * super-diagonals of the matrix A. 65 * sub-diagonals of the matrix A. 72 * band part of the matrix of coefficients, supplied column b [all...] |
/external/eigen/test/ |
cholesky.cpp | 33 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 48 // we are doing some downdates, so it might be the case that the matrix is not SPD anymore 72 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType; 73 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 79 // let's make sure the matrix is not singular or near singular 140 symm = -symm; // test a negative matrix 204 Matrix<Scalar,Dynamic,Dynamic> a = Matrix<Scalar,Dynamic,Dynamic>::Random(rows,r); 220 Matrix<Scalar,Dynamic,Dynamic> a = Matrix<Scalar,Dynamic,Dynamic>::Random(rows,rows) [all...] |
product_trsolve.cpp | 34 Matrix<Scalar,Size,Size,ColMajor> cmLhs(size,size); 35 Matrix<Scalar,Size,Size,RowMajor> rmLhs(size,size); 39 Matrix<Scalar,Size,Cols,colmajor> cmRhs(size,cols); 40 Matrix<Scalar,Size,Cols,rowmajor> rmRhs(size,cols); 41 Matrix<Scalar,Dynamic,Dynamic,colmajor> ref(size,cols);
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/external/eigen/test/eigen2/ |
eigen2_adjoint.cpp | 20 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 21 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType; 91 CALL_SUBTEST_1( adjoint(Matrix<float, 1, 1>()) ); 98 // test a large matrix only once 99 CALL_SUBTEST_7( adjoint(Matrix<float, 100, 100>()) );
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/external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
dogleg.h | 7 const Matrix< Scalar, Dynamic, Dynamic > &qrfac, 8 const Matrix< Scalar, Dynamic, 1 > &diag, 9 const Matrix< Scalar, Dynamic, 1 > &qtb, 11 Matrix< Scalar, Dynamic, 1 > &x) 30 Matrix< Scalar, Dynamic, 1 > wa1(n), wa2(n);
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/external/skia/bench/ |
PictureRecordBench.cpp | 81 // set a matrix on the canvas 82 SkMatrix matrix; variable 83 matrix.setRotate(SkIntToScalar(i % 360)); 84 canvas->setMatrix(matrix); 96 canvas->drawBitmapMatrix(bitmap, matrix);
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/external/skia/src/core/ |
SkPictureStateTree.h | 32 * A draw call, stores offset into command buffer, a pointer to the matrix, and a pointer to 54 * of offsets into the command buffer to carry out those calls with correct matrix/clip state. 55 * This handles saves/restores, and does all necessary matrix setup. 106 // The matrix of the canvas we're playing back into 109 // Cache of current matrix, so we can avoid redundantly setting it
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/frameworks/base/tests/Camera2Tests/SmartCamera/SimpleCamera/src/androidx/media/filterfw/geometry/ |
Quad.java | 20 import android.graphics.Matrix; 119 * The transform is applied by multiplying each point (x, y, 1) by the matrix. 122 * @param matrix the transformation matrix 123 * @return the Quad representing the source rectangle transformed by the matrix 125 public static Quad fromTransformedRect(RectF rect, Matrix matrix) { 126 return Quad.fromRect(rect).transformed(matrix); 130 * Returns the transformation matrix to transform the source Quad to the target Quad. 134 * @return the transformation matrix to map source to target [all...] |
/frameworks/base/tests/HwAccelerationTest/src/com/android/test/hwui/ |
AdvancedBlendActivity.java | 28 import android.graphics.Matrix; 71 Matrix m2 = new Matrix(); 77 Matrix m3 = new Matrix();
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/packages/apps/Gallery2/src/com/android/gallery3d/filtershow/imageshow/ |
GeometryMathUtils.java | 21 import android.graphics.Matrix; 217 private static void concatMirrorMatrix(Matrix m, GeometryHolder holder) { 317 Matrix m = getCropSelectionToScreenMatrix(null, holder, width, height, frame.width(), 331 public static Matrix getImageToScreenMatrix(Collection<FilterRepresentation> geometry, 338 public static Matrix getPartialToScreenMatrix(Collection<FilterRepresentation> geometry, 349 Matrix compensation = new Matrix(); 372 public static Matrix getOriginalToScreen(GeometryHolder holder, boolean rotate, 380 Matrix m = getCropSelectionToScreenMatrix(null, holder, (int) originalWidth, 407 Matrix m = getCropSelectionToScreenMatrix(crop, holder, photo.getWidth(), photo.getHeight() [all...] |
/packages/apps/Gallery2/src/com/android/gallery3d/util/ |
MotionEventHelper.java | 19 import android.graphics.Matrix; 29 public static MotionEvent transformEvent(MotionEvent e, Matrix m) { 40 private static MotionEvent transformEventNew(MotionEvent e, Matrix m) { 47 private static MotionEvent transformEventOld(MotionEvent e, Matrix m) { 102 private static float transformAngle(Matrix m, float angleRadians) {
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/packages/apps/LegacyCamera/src/com/android/camera/ui/ |
FaceView.java | 24 import android.graphics.Matrix; 43 private Matrix mMatrix = new Matrix(); 123 // Prepare the matrix. 126 // Focus indicator is directional. Rotate the matrix and the canvas
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/external/eigen/Eigen/src/Eigen2Support/ |
SVD.h | 20 * \brief Standard SVD decomposition of a matrix and associated features 22 * \param MatrixType the type of the matrix of which we are computing the SVD decomposition 24 * This class performs a standard SVD decomposition of a real matrix A of size \c M x \c N 42 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> ColVector; 43 typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> RowVector; 45 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MinSize> MatrixUType; 46 typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAtCompileTime> MatrixVType; 47 typedef Matrix<Scalar, MinSize, 1> SingularValuesType; 53 SVD(const MatrixType& matrix) 54 : m_matU(matrix.rows(), (std::min)(matrix.rows(), matrix.cols())) [all...] |
/external/ceres-solver/internal/ceres/ |
visibility_based_preconditioner.h | 73 // structure of the preconditioner matrix is determined by analyzing 79 // entries in the Schur complement matrix corresponding to these 91 // the same cluster occur contiguously, the preconditioner matrix will 92 // be a block diagonal matrix with blocks corresponding to the 110 // preconditioner matrix is a block tridiagonal matrix, and thus the 131 // to determine the sparsity structure of the preconditioner matrix. 178 // Non-zero camera pairs from the schur complement matrix that are 188 // Preconditioner matrix. 192 // implemented using CHOLMOD's sparse triangular matrix solv [all...] |