| /external/autotest/client/deps/webgl_mpd/src/resources/ |
| D | J3DIMath.js | 31 J3DIMatrix4 - A 4x4 Matrix
37 This class implements a 4x4 matrix. It has functions which duplicate the
38 functionality of the OpenGL matrix stack and glut functions. On browsers
44 … Constructor(in J3DIMatrix4 matrix), // copy passed matrix into new J3DIMatrix4
46 … Constructor() // create new J3DIMatrix4 with identity matrix
49 … void load(in J3DIMatrix4 matrix); // copy the values from the passed matrix
50 void load(in sequence<float> array); // copy 16 floats into the matrix
51 … sequence<float> getAsArray(); // return the matrix as an array of 16 floats
52 …Float32Array getAsFloat32Array(); // return the matrix as a Float32Array with 16 values
53 …void setUniform(in WebGLRenderingContext ctx, // Send the matrix to the passed uniform locat…
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| /external/robolectric-shadows/robolectric/src/test/java/org/robolectric/shadows/ |
| D | ShadowMatrixTest.java | 7 import android.graphics.Matrix;
23 Matrix m = new Matrix(); in preOperationsAreStacked()
37 Matrix m = new Matrix(); in postOperationsAreQueued()
51 Matrix m = new Matrix(); in setOperationsOverride()
65 final Matrix matrix = new Matrix(); in set_shouldAddOpsToMatrix() local
66 matrix.setScale(1, 1); in set_shouldAddOpsToMatrix()
67 matrix.preScale(2, 2, 2, 2); in set_shouldAddOpsToMatrix()
68 matrix.postScale(3, 3, 3, 3); in set_shouldAddOpsToMatrix()
70 final ShadowMatrix shadow = shadowOf(matrix); in set_shouldAddOpsToMatrix()
78 final Matrix matrix = new Matrix(); in setScale_shouldAddOpsToMatrix() local
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| /external/deqp/framework/common/ |
| D | tcuMatrix.hpp | 23 * \brief Templatized matrix class.
33 // Templated matrix class.
35 class Matrix class
48 Matrix (void);
49 explicit Matrix (const T& src);
50 explicit Matrix (const T src[Rows*Cols]);
51 Matrix (const Vector<T, Rows>& src);
52 Matrix (const Matrix<T, Rows, Cols>& src);
53 ~Matrix (void);
55 Matrix<T, Rows, Cols>& operator= (const Matrix<T, Rows, Cols>& src);
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| /external/skqp/docs/ |
| D | SkMatrix_Reference.bmh | 1 #Topic Matrix
13 Matrix holds a 3x3 matrix for transforming coordinates. This allows mapping
17 Matrix elements are in row major order. Matrix does not have a constructor,
18 so it must be explicitly initialized. setIdentity initializes Matrix
20 initializes all Matrix elements with the corresponding mapping.
22 Matrix includes a hidden variable that classifies the type of matrix to
23 improve performance. Matrix is not thread safe unless getType is called first.
42 Sets Matrix to scale by (sx, sy). Returned matrix is:
54 #Return Matrix with scale ##
70 Sets Matrix to scale by (scale, scale). Returned matrix is:
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| /external/swiftshader/src/Renderer/ |
| D | Matrix.hpp | 24 struct Matrix struct
26 Matrix();
27 Matrix(const int i);
28 Matrix(const float m[16]);
29 Matrix(const float m[4][4]);
30 Matrix(float m11, float m12, float m13,
33 Matrix(float m11, float m12, float m13, float m14,
37 Matrix(const Vector &v1, const Vector &v2, const Vector &v3); // Column vectors
39 Matrix &operator=(const Matrix &N);
44 static Matrix diag(float m11, float m22, float m33, float m44);
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| /external/vulkan-validation-layers/libs/glm/gtc/ |
| D | matrix_integer.hpp | 60 /// High-precision signed integer 2x2 matrix.
64 /// High-precision signed integer 3x3 matrix.
68 /// High-precision signed integer 4x4 matrix.
72 /// High-precision signed integer 2x2 matrix.
76 /// High-precision signed integer 2x3 matrix.
80 /// High-precision signed integer 2x4 matrix.
84 /// High-precision signed integer 3x2 matrix.
88 /// High-precision signed integer 3x3 matrix.
92 /// High-precision signed integer 3x4 matrix.
96 /// High-precision signed integer 4x2 matrix.
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| /external/skia/docs/ |
| D | SkMatrix_Reference.bmh | 1 #Topic Matrix
13 Matrix holds a 3x3 matrix for transforming coordinates. This allows mapping
17 Matrix elements are in row major order. Matrix does not have a constructor,
18 so it must be explicitly initialized. setIdentity initializes Matrix
20 initializes all Matrix elements with the corresponding mapping.
22 Matrix includes a hidden variable that classifies the type of matrix to
23 improve performance. Matrix is not thread safe unless getType is called first.
41 Sets Matrix to scale by (sx, sy). Returned matrix is:
53 #Return Matrix with scale ##
69 Sets Matrix to scale by (scale, scale). Returned matrix is:
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| /external/tensorflow/tensorflow/contrib/boosted_trees/lib/utils/ |
| D | example_test.cc | 28 // Create the following matrix (FC is feature column): in TEST_F()
38 std::vector<SparseFloatFeatureColumn<float>> matrix; in TEST_F() local
39 matrix.resize(6); in TEST_F()
40 matrix[0].SetDimension(3); in TEST_F()
41 matrix[1].SetDimension(3); in TEST_F()
42 matrix[2].SetDimension(3); in TEST_F()
43 matrix[3].SetDimension(3); in TEST_F()
44 matrix[4].SetDimension(1); in TEST_F()
45 matrix[5].SetDimension(1); in TEST_F()
47 matrix[0].Add(1, 0.4f); in TEST_F()
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| /external/eigen/Eigen/src/LU/ |
| D | InverseImpl.h | 26 static inline void run(const MatrixType& matrix, ResultType& result) in run()
28 result = matrix.partialPivLu().inverse(); in run()
43 static inline void run(const MatrixType& matrix, ResultType& result)
46 internal::evaluator<MatrixType> matrixEval(matrix);
56 const MatrixType& matrix,
64 determinant = matrix.coeff(0,0);
77 const MatrixType& matrix, const typename ResultType::Scalar& invdet,
80 result.coeffRef(0,0) = matrix.coeff(1,1) * invdet;
81 result.coeffRef(1,0) = -matrix.coeff(1,0) * invdet;
82 result.coeffRef(0,1) = -matrix.coeff(0,1) * invdet;
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| /external/eigen/unsupported/Eigen/ |
| D | MatrixFunctions | 22 * \defgroup MatrixFunctions_Module Matrix functions module
24 * matrix functions.
33 * - \ref matrixbase_cos "MatrixBase::cos()", for computing the matrix cosine
34 * - \ref matrixbase_cosh "MatrixBase::cosh()", for computing the matrix hyperbolic cosine
35 * - \ref matrixbase_exp "MatrixBase::exp()", for computing the matrix exponential
36 * - \ref matrixbase_log "MatrixBase::log()", for computing the matrix logarithm
37 * - \ref matrixbase_pow "MatrixBase::pow()", for computing the matrix power
38 …* - \ref matrixbase_matrixfunction "MatrixBase::matrixFunction()", for computing general matrix f…
39 * - \ref matrixbase_sin "MatrixBase::sin()", for computing the matrix sine
40 * - \ref matrixbase_sinh "MatrixBase::sinh()", for computing the matrix hyperbolic sine
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| /external/webrtc/webrtc/modules/audio_processing/beamformer/ |
| D | matrix.h | 41 // Matrix is a class for doing standard matrix operations on 2 dimensional
42 // matrices of any size. Results of matrix operations are stored in the
49 // 'In-place' operations that inherently change the size of the matrix (eg.
57 // Memory for storage is allocated when a matrix is resized only if the new
62 // matrix. TODO(claguna): albeit tricky, allow for data to be referenced
65 class Matrix {
67 Matrix() : num_rows_(0), num_columns_(0) {} in Matrix() function
70 Matrix(size_t num_rows, size_t num_columns) in Matrix() function
77 // Copies |data| into the new Matrix.
78 Matrix(const T* data, size_t num_rows, size_t num_columns) in Matrix() function
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| /external/pdfium/fxbarcode/qrcode/ |
| D | BC_QRCoderMatrixUtil.cpp | 78 void CBC_QRCoderMatrixUtil::ClearMatrix(CBC_CommonByteMatrix* matrix, in ClearMatrix() argument
80 if (!matrix) { in ClearMatrix()
84 matrix->clear((uint8_t)-1); in ClearMatrix()
91 CBC_CommonByteMatrix* matrix, in BuildMatrix() argument
93 if (!matrix) { in BuildMatrix()
97 ClearMatrix(matrix, e); in BuildMatrix()
100 EmbedBasicPatterns(version, matrix, e); in BuildMatrix()
103 EmbedTypeInfo(ecLevel, maskPattern, matrix, e); in BuildMatrix()
106 MaybeEmbedVersionInfo(version, matrix, e); in BuildMatrix()
109 EmbedDataBits(dataBits, maskPattern, matrix, e); in BuildMatrix()
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| /external/eigen/test/ |
| D | geo_transformations.cpp | 16 Matrix<T,2,1> angleToVec(T a) in angleToVec()
18 return Matrix<T,2,1>(std::cos(a), std::sin(a)); in angleToVec()
31 typedef Matrix<Scalar,3,1> Vector3; in non_projective_only()
50 VERIFY_IS_APPROX(t0.matrix(), Transform3::MatrixType::Identity()); in non_projective_only()
69 VERIFY((t0 * t1).matrix().isIdentity(test_precision<Scalar>())); in non_projective_only()
72 VERIFY_IS_APPROX(t1.matrix(), t0.matrix()); in non_projective_only()
93 typedef Matrix<Scalar,3,3> Matrix3; in transformations()
94 typedef Matrix<Scalar,4,4> Matrix4; in transformations()
95 typedef Matrix<Scalar,2,1> Vector2; in transformations()
96 typedef Matrix<Scalar,3,1> Vector3; in transformations()
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| D | corners.cpp | 13 VERIFY_IS_EQUAL(matrix.A, matrix.B); \
25 MatrixType matrix = MatrixType::Random(rows,cols); in corners() local
48 MatrixType matrix = MatrixType::Random(); in corners_fixedsize() local
60 VERIFY_IS_EQUAL((matrix.template topLeftCorner<r,c>()), (matrix.template block<r,c>(0,0))); in corners_fixedsize()
61 VERIFY_IS_EQUAL((matrix.template topRightCorner<r,c>()), (matrix.template block<r,c>(0,cols-c))); in corners_fixedsize()
62 …VERIFY_IS_EQUAL((matrix.template bottomLeftCorner<r,c>()), (matrix.template block<r,c>(rows-r,0))); in corners_fixedsize()
63 …VERIFY_IS_EQUAL((matrix.template bottomRightCorner<r,c>()), (matrix.template block<r,c>(rows-r,col… in corners_fixedsize()
65 …VERIFY_IS_EQUAL((matrix.template topLeftCorner<r,c>()), (matrix.template topLeftCorner<r,Dynamic>(… in corners_fixedsize()
66 …VERIFY_IS_EQUAL((matrix.template topRightCorner<r,c>()), (matrix.template topRightCorner<r,Dynamic… in corners_fixedsize()
67 …VERIFY_IS_EQUAL((matrix.template bottomLeftCorner<r,c>()), (matrix.template bottomLeftCorner<r,Dyn… in corners_fixedsize()
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| /external/eigen/Eigen/src/Core/ |
| D | Matrix.h | 18 struct traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
55 /** \class Matrix
58 * \brief The matrix class, also used for vectors and row-vectors
60 …* The %Matrix class is the work-horse for all \em dense (\ref dense "note") matrices and vectors w…
63 …* The %Matrix class encompasses \em both fixed-size and dynamic-size objects (\ref fixedsize "note…
81 * \li \c Matrix2d is a 2x2 square matrix of doubles (\c Matrix<double, 2, 2>)
82 * \li \c Vector4f is a vector of 4 floats (\c Matrix<float, 4, 1>)
83 * \li \c RowVector3i is a row-vector of 3 ints (\c Matrix<int, 1, 3>)
85 * \li \c MatrixXf is a dynamic-size matrix of floats (\c Matrix<float, Dynamic, Dynamic>)
86 * \li \c VectorXf is a dynamic-size vector of floats (\c Matrix<float, Dynamic, 1>)
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| /external/eigen/Eigen/src/Eigenvalues/ |
| D | HessenbergDecomposition.h | 32 * \brief Reduces a square matrix to Hessenberg form by an orthogonal similarity transformation
34 …* \tparam _MatrixType the type of the matrix of which we are computing the Hessenberg decomposition
36 * This class performs an Hessenberg decomposition of a matrix \f$ A \f$. In
38 * matrix \f$ Q \f$ and a Hessenberg matrix \f$ H \f$ such that \f$ A = Q H
39 * Q^T \f$. An orthogonal matrix is a matrix whose inverse equals its
40 * transpose (\f$ Q^{-1} = Q^T \f$). A Hessenberg matrix has zeros below the
42 * of a complex matrix is \f$ A = Q H Q^* \f$ with \f$ Q \f$ unitary (that is,
46 * given matrix. Alternatively, you can use the
82 … typedef Matrix<Scalar, SizeMinusOne, 1, Options & ~RowMajor, MaxSizeMinusOne, 1> CoeffVectorType;
91 * \param [in] size The size of the matrix whose Hessenberg decomposition will be computed.
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| D | ComplexSchur.h | 28 * \brief Performs a complex Schur decomposition of a real or complex square matrix
30 * \tparam _MatrixType the type of the matrix of which we are
32 * instantiation of the Matrix class template.
34 * Given a real or complex square matrix A, this class computes the
36 * complex matrix, and T is a complex upper triangular matrix. The
37 * diagonal of the matrix T corresponds to the eigenvalues of the
38 * matrix A.
41 * a given matrix. Alternatively, you can use the
78 * This is a square matrix with entries of type #ComplexScalar.
81 …typedef Matrix<ComplexScalar, RowsAtCompileTime, ColsAtCompileTime, Options, MaxRowsAtCompileTime,…
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| D | Tridiagonalization.h | 36 * \brief Tridiagonal decomposition of a selfadjoint matrix
38 * \tparam _MatrixType the type of the matrix of which we are computing the
40 * Matrix class template.
42 * This class performs a tridiagonal decomposition of a selfadjoint matrix \f$ A \f$ such that:
43 …* \f$ A = Q T Q^* \f$ where \f$ Q \f$ is unitary and \f$ T \f$ a real symmetric tridiagonal matrix.
45 * A tridiagonal matrix is a matrix which has nonzero elements only on the
47 * decomposition of a selfadjoint matrix is in fact a tridiagonal
49 * eigenvalues and eigenvectors of a selfadjoint matrix.
52 * given matrix. Alternatively, you can use the Tridiagonalization(const MatrixType&)
82 … typedef Matrix<Scalar, SizeMinusOne, 1, Options & ~RowMajor, MaxSizeMinusOne, 1> CoeffVectorType;
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| /external/llvm/include/llvm/CodeGen/PBQP/ |
| D | Math.h | 1 //===------ Math.h - PBQP Vector and Matrix classes -------------*- C++ -*-===//
162 /// \brief PBQP Matrix class
163 class Matrix {
165 friend hash_code hash_value(const Matrix &);
168 /// \brief Construct a PBQP Matrix with the given dimensions.
169 Matrix(unsigned Rows, unsigned Cols) : in Matrix() function
173 /// \brief Construct a PBQP Matrix with the given dimensions and initial
175 Matrix(unsigned Rows, unsigned Cols, PBQPNum InitVal) in Matrix() function
180 /// \brief Copy construct a PBQP matrix.
181 Matrix(const Matrix &M) in Matrix() function
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| /external/tensorflow/tensorflow/python/kernel_tests/linalg/ |
| D | linear_operator_full_matrix_test.py | 42 matrix = linear_operator_test_util.random_positive_definite_matrix(shape,
50 matrix = matrix.eval()
52 feed_dict = {matrix_ph: matrix}
55 operator = linalg.LinearOperatorFullMatrix(matrix)
59 # already evaluated matrix to a numpy array.
60 mat = ops.convert_to_tensor(matrix)
65 # Matrix with two positive eigenvalues.
66 matrix = [[1., 0.], [1., 11.]]
68 matrix,
84 matrix = math_ops.matmul(tril, tril, transpose_b=True).eval()
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| /external/apache-commons-math/src/main/java/org/apache/commons/math/stat/correlation/ |
| D | Covariance.java | 27 * Computes covariances for pairs of arrays or columns of a matrix.
48 /** covariance matrix */
52 * Create an empty covariance matrix.
67 * Create a Covariance matrix from a rectangular array
86 * Create a Covariance matrix from a rectangular array
101 * Create a covariance matrix from a matrix whose columns
107 * <p>The matrix must have at least two columns and two rows</p>
109 * @param matrix matrix with columns representing covariates
111 * @throws IllegalArgumentException if the input matrix does not have
114 public Covariance(RealMatrix matrix, boolean biasCorrected) { in Covariance() argument
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| /external/skia/site/user/api/ |
| D | SkMatrix_Reference.md | 4 # <a name="Matrix"></a> Matrix
19 <a href="#Matrix">Matrix</a> holds a 3x3 matrix for transforming coordinates. This allows mapping
23 <a href="#Matrix">Matrix</a> elements are in row major order. <a href="#Matrix">Matrix</a> does not…
24 …itialized. <a href="#SkMatrix_setIdentity">setIdentity</a> initializes <a href="#Matrix">Matrix</a>
26 initializes all <a href="#Matrix">Matrix</a> elements with the corresponding mapping.
28 <a href="#Matrix">Matrix</a> includes a hidden variable that classifies the type of matrix to
29 improve performance. <a href="#Matrix">Matrix</a> is not thread safe unless <a href="#SkMatrix_getT…
35 | <a href="#SkMatrix_Concat">Concat</a> | returns the concatenation of <a href="#Matrix">Matrix</a>…
36 | I | returns a reference to a const identity <a href="#Matrix">Matrix</a> |
37 …idMatrix">InvalidMatrix</a> | returns a reference to a const invalid <a href="#Matrix">Matrix</a> |
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| /external/skqp/site/user/api/ |
| D | SkMatrix_Reference.md | 4 # <a name="Matrix"></a> Matrix
18 <a href="#Matrix">Matrix</a> holds a 3x3 matrix for transforming coordinates. This allows mapping
22 <a href="#Matrix">Matrix</a> elements are in row major order. <a href="#Matrix">Matrix</a> does not…
23 …itialized. <a href="#SkMatrix_setIdentity">setIdentity</a> initializes <a href="#Matrix">Matrix</a>
25 initializes all <a href="#Matrix">Matrix</a> elements with the corresponding mapping.
27 <a href="#Matrix">Matrix</a> includes a hidden variable that classifies the type of matrix to
28 improve performance. <a href="#Matrix">Matrix</a> is not thread safe unless <a href="#SkMatrix_getT…
45 …tor">operator[](int index)</a> | returns writable reference to <a href="#Matrix">Matrix</a> value |
46 …trix_array_operator">operator[](int index) const</a> | returns <a href="#Matrix">Matrix</a> value |
52 | <a href="#SkMatrix_Concat">Concat</a> | returns the concatenation of <a href="#Matrix">Matrix</a>…
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| /external/eigen/bench/btl/data/ |
| D | action_settings.txt | 1 aat ; "{/*1.5 A x A^T}" ; "matrix size" ; 4:5000
2 ata ; "{/*1.5 A^T x A}" ; "matrix size" ; 4:5000
3 atv ; "{/*1.5 matrix^T x vector}" ; "matrix size" ; 4:5000
6 matrix_matrix ; "{/*1.5 matrix matrix product}" ; "matrix size" ; 4:5000
7 matrix_vector ; "{/*1.5 matrix vector product}" ; "matrix size" ; 4:5000
8 trmm ; "{/*1.5 triangular matrix matrix product}" ; "matrix size" ; 4:5000
10 trisolve_matrix ; "{/*1.5 triangular solver - matrix (M = inv(L) M)}" ; "size" ; 4:5000
11 cholesky ; "{/*1.5 Cholesky decomposition}" ; "matrix size" ; 4:5000
12 complete_lu_decomp ; "{/*1.5 Complete LU decomposition}" ; "matrix size" ; 4:5000
13 partial_lu_decomp ; "{/*1.5 Partial LU decomposition}" ; "matrix size" ; 4:5000
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| /external/eigen/Eigen/src/PaStiXSupport/ |
| D | PaStiXSupport.h | 27 * The matrix can be either real or complex, symmetric or not.
95 // Convert the matrix to Fortran-style Numbering
142 typedef Matrix<Scalar,Dynamic,1> Vector;
208 * \c InvalidInput if the input matrix is invalid
220 // Initialize the Pastix data structure, check the matrix
249 mutable Matrix<StorageIndex,Dynamic,1> m_perm; // Permutation vector
250 mutable Matrix<StorageIndex,Dynamic,1> m_invp; // Inverse permutation vector
251 mutable int m_size; // Size of the matrix
297 eigen_assert(mat.rows() == mat.cols() && "The input matrix should be squared");
369 eigen_assert(m_isInitialized && "The matrix should be factorized first");
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