/external/eigen/test/ |
H A D | vectorization_logic.cpp | 86 typedef Matrix<Scalar,PacketSize,1> Vector1; 87 typedef Matrix<Scalar,Dynamic,1> VectorX; 88 typedef Matrix<Scalar,Dynamic,Dynamic> MatrixXX; 89 typedef Matrix<Scalar,PacketSize,PacketSize> Matrix11; 90 typedef Matrix<Scalar,2*PacketSize,2*PacketSize> Matrix22; 91 typedef Matrix<Scalar,(Matrix11::Flags&RowMajorBit)?16:4*PacketSize,(Matrix11::Flags&RowMajorBit)?4*PacketSize:16> Matrix44; 92 typedef Matrix<Scalar,(Matrix11::Flags&RowMajorBit)?16:4*PacketSize,(Matrix11::Flags&RowMajorBit)?4*PacketSize:16,DontAlign|EIGEN_DEFAULT_MATRIX_STORAGE_ORDER_OPTION> Matrix44u; 93 typedef Matrix<Scalar,4*PacketSize,16,ColMajor> Matrix44c; 94 typedef Matrix<Scalar,4*PacketSize,16,RowMajor> Matrix44r; 96 typedef Matrix<Scala [all...] |
H A D | nomalloc.cpp | 107 typedef Eigen::Matrix<Scalar, 110 maxSize, maxSize> Matrix; typedef 112 typedef Eigen::Matrix<Scalar, 117 typedef Eigen::Matrix<std::complex<Scalar>, 122 const Matrix A(Matrix::Random(size, size)), B(Matrix::Random(size, size)); 123 Matrix X(size,size); 125 const Matrix saA = A.adjoint() * A; 130 Eigen::LLT<Matrix> LL [all...] |
H A D | integer_types.cpp | 59 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 71 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType; 139 CALL_SUBTEST_1( integer_type_tests(Matrix<unsigned int, 1, 1>()) ); 140 CALL_SUBTEST_1( integer_type_tests(Matrix<unsigned long, 3, 4>()) ); 142 CALL_SUBTEST_2( integer_type_tests(Matrix<long, 2, 2>()) ); 143 CALL_SUBTEST_2( signed_integer_type_tests(Matrix<long, 2, 2>()) ); 145 CALL_SUBTEST_3( integer_type_tests(Matrix<char, 2, Dynamic>(2, 10)) ); 146 CALL_SUBTEST_3( signed_integer_type_tests(Matrix<signed char, 2, Dynamic>(2, 10)) ); 148 CALL_SUBTEST_4( integer_type_tests(Matrix<unsigned char, 3, 3>()) ); 149 CALL_SUBTEST_4( integer_type_tests(Matrix<unsigne [all...] |
H A D | qr.cpp | 21 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> MatrixQType; 37 Matrix<Scalar,Rows,Cols> m1 = Matrix<Scalar,Rows,Cols>::Random(); 38 HouseholderQR<Matrix<Scalar,Rows,Cols> > qr(m1); 40 Matrix<Scalar,Rows,Cols> r = qr.matrixQR(); 46 Matrix<Scalar,Cols,Cols2> m2 = Matrix<Scalar,Cols,Cols2>::Random(Cols,Cols2); 47 Matrix<Scalar,Rows,Cols2> m3 = m1*m2; 48 m2 = Matrix<Scalar,Cols,Cols2>::Random(Cols,Cols2); 105 CALL_SUBTEST_3(( qr_fixedsize<Matrix<floa [all...] |
/external/pdfium/core/src/fxge/Microsoft SDK/include/ |
H A D | GdiPlusMatrix.h | 11 * GDI+ Matrix class
15 class Matrix : public GdiplusBase
class in inherits:GdiplusBase 28 Matrix()
function in class:Matrix 37 Matrix(IN REAL m11,
function in class:Matrix 52 Matrix(IN const RectF& rect,
function in class:Matrix 64 Matrix(IN const Rect& rect,
function in class:Matrix 76 ~Matrix()
81 Matrix *Clone() const
91 return new Matrix(cloneMatrix);
137 Status Multiply(IN const Matrix *matri 271 Matrix(const Matrix& matrix) function in class:Matrix 287 Matrix(GpMatrix *nativeMatrix) function in class:Matrix [all...] |
/external/eigen/bench/ |
H A D | benchCholesky.cpp | 44 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> SquareMatrixType; 129 benchLLT(Matrix<Scalar,Dynamic,Dynamic>(dynsizes[i],dynsizes[i])); 131 benchLLT(Matrix<Scalar,2,2>()); 132 benchLLT(Matrix<Scalar,3,3>()); 133 benchLLT(Matrix<Scalar,4,4>()); 134 benchLLT(Matrix<Scalar,5,5>()); 135 benchLLT(Matrix<Scalar,6,6>()); 136 benchLLT(Matrix<Scalar,7,7>()); 137 benchLLT(Matrix<Scalar,8,8>()); 138 benchLLT(Matrix<Scala [all...] |
H A D | bench_sum.cpp | 8 typedef Matrix<SCALAR,Eigen::Dynamic,1> Vec;
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/external/eigen/test/eigen2/ |
H A D | eigen2_miscmatrices.cpp | 19 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 20 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType; 30 Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> 42 CALL_SUBTEST_1( miscMatrices(Matrix<float, 1, 1>()) );
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H A D | eigen2_determinant.cpp | 53 CALL_SUBTEST_1( determinant(Matrix<float, 1, 1>()) ); 54 CALL_SUBTEST_2( determinant(Matrix<double, 2, 2>()) ); 55 CALL_SUBTEST_3( determinant(Matrix<double, 3, 3>()) ); 56 CALL_SUBTEST_4( determinant(Matrix<double, 4, 4>()) ); 57 CALL_SUBTEST_5( determinant(Matrix<std::complex<double>, 10, 10>()) );
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H A D | eigen2_nomalloc.cpp | 28 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 37 identity = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> 39 square = Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> 60 CALL_SUBTEST_1( nomalloc(Matrix<float, 1, 1>()) ); 62 CALL_SUBTEST_3( nomalloc(Matrix<float,32,32>()) );
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/external/robolectric/src/main/java/com/xtremelabs/robolectric/shadows/ |
H A D | ShadowMatrix.java | 3 import android.graphics.Matrix; 10 @Implements(Matrix.class) 22 // identity: Matrix{[1.0, 0.0, 0.0][0.0, 1.0, 0.0][0.0, 0.0, 1.0]} 24 // drag down: Matrix{[1.0, 0.0, -1.3872986][0.0, 1.0, 0.37722778][0.0, 0.0, 1.0]} 27 public void __constructor__(Matrix src) { 32 public void set(Matrix src) {
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/external/eigen/blas/ |
H A D | common.h | 96 typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> PlainMatrixType; 97 typedef Map<Matrix<Scalar,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > MatrixType; 98 typedef Map<Matrix<Scalar,Dynamic,1>, 0, InnerStride<Dynamic> > StridedVectorType; 99 typedef Map<Matrix<Scalar,Dynamic,1> > CompactVectorType; 102 Map<Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> > 105 return Map<Matrix<T,Dynamic,Dynamic,ColMajor>, 0, OuterStride<> >(data, rows, cols, OuterStride<>(stride)); 109 Map<Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> > vector(T* data, int size, int incr) 111 return Map<Matrix<T,Dynamic,1>, 0, InnerStride<Dynamic> >(data, size, InnerStride<Dynamic>(incr)); 115 Map<Matrix<T,Dynamic,1> > vector(T* data, int size) 117 return Map<Matrix< [all...] |
/external/ceres-solver/internal/ceres/ |
H A D | block_random_access_diagonal_matrix_test.cc | 83 Matrix::Ones(blocks[row_block_id], blocks[col_block_id]); 91 Matrix dense; 97 EXPECT_NEAR((dense.block(0, 0, 3, 3) - Matrix::Ones(3, 3)).norm(), 102 EXPECT_NEAR((dense.block(3, 3, 4, 4) - 2 * 2 * Matrix::Ones(4, 4)).norm(), 107 EXPECT_NEAR((dense.block(7, 7, 5, 5) - 3 * 3 * Matrix::Ones(5, 5)).norm(),
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H A D | small_blas_test.cc | 43 Matrix A(kRowA, kColA); 48 Matrix B(kRowB, kColB); 53 Matrix C(row_stride_c, col_stride_c); 56 Matrix C_plus = C; 57 Matrix C_minus = C; 58 Matrix C_assign = C; 60 Matrix C_plus_ref = C; 61 Matrix C_minus_ref = C; 62 Matrix C_assign_ref = C; 126 Matrix [all...] |
H A D | block_random_access_sparse_matrix_test.cc | 88 Matrix::Ones(blocks[row_block_id], blocks[col_block_id]); 95 Matrix dense; 101 EXPECT_NEAR((dense.block(0, 0, 3, 3) - Matrix::Ones(3, 3)).norm(), 105 EXPECT_NEAR((dense.block(3, 3, 4, 4) - 2 * 2 * Matrix::Ones(4, 4)).norm(), 109 EXPECT_NEAR((dense.block(3, 3 + 4, 4, 5) - 2 * 3 * Matrix::Ones(4, 5)).norm(), 113 EXPECT_NEAR((dense.block(3 + 4, 0, 5, 3) - 3 * 1 * Matrix::Ones(5, 3)).norm(),
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/external/eigen/Eigen/src/Eigenvalues/ |
H A D | ComplexSchur_MKL.h | 44 ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \ 45 ComplexSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \ 47 typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> MatrixType; \ 73 Matrix<EIGTYPE, Dynamic, Dynamic> w; \
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H A D | RealSchur_MKL.h | 44 RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >& \ 45 RealSchur<Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> >::compute(const Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW>& matrix, bool computeU) \ 47 typedef Matrix<EIGTYPE, Dynamic, Dynamic, EIGCOLROW> MatrixType; \ 62 Matrix<EIGTYPE, Dynamic, Dynamic> wr, wi; \
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/external/eigen/unsupported/Eigen/src/Eigenvalues/ |
H A D | ArpackSelfAdjointEigenSolver.h | 223 const Matrix<Scalar, Dynamic, Dynamic>& eigenvectors() const 245 const Matrix<Scalar, Dynamic, 1>& eigenvalues() const 269 Matrix<Scalar, Dynamic, Dynamic> operatorSqrt() const 294 Matrix<Scalar, Dynamic, Dynamic> operatorInverseSqrt() const 318 Matrix<Scalar, Dynamic, Dynamic> m_eivec; 319 Matrix<Scalar, Dynamic, 1> m_eivalues; 522 Matrix<Scalar, Dynamic, 1>::Map(out2, n) = Matrix<Scalar, Dynamic, 1>::Map(in, n); 524 Matrix<Scalar, Dynamic, 1>::Map(out2, n) = B * Matrix<Scala [all...] |
/external/eigen/demos/opengl/ |
H A D | gpuhelper.h | 38 \sa Matrix, loadMatrix(), forceMatrixMode() 41 void multMatrix(const Matrix<Scalar,4,4, _Flags, 4,4>& mat, GLenum matrixTarget); 48 \sa Matrix, multMatrix(), forceMatrixMode() 51 void loadMatrix(const Eigen::Matrix<Scalar,4,4, _Flags, 4,4>& mat, GLenum matrixTarget); 70 inline void pushMatrix(const Matrix<Scalar,4,4, _Flags, 4,4>& mat, GLenum matrixTarget); 120 static void loadMatrix(const Matrix<float, 4,4, _Flags, 4,4>& mat) { glLoadMatrixf(mat.data()); } argument 121 static void loadMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) { glLoadMatrixd(mat.data()); } argument 122 static void multMatrix(const Matrix<float, 4,4, _Flags, 4,4>& mat) { glMultMatrixf(mat.data()); } argument 123 static void multMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) { glMultMatrixd(mat.data()); } argument 128 static void loadMatrix(const Matrix<floa argument 129 loadMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) argument 130 multMatrix(const Matrix<float, 4,4, _Flags, 4,4>& mat) argument 131 multMatrix(const Matrix<double,4,4, _Flags, 4,4>& mat) argument 141 multMatrix(const Matrix<Scalar,4,4, _Flags, 4,4>& mat, GLenum matrixTarget) argument 170 pushMatrix(const Matrix<Scalar,4,4, _Flags, 4,4>& mat, GLenum matrixTarget) argument [all...] |
/external/eigen/Eigen/src/Eigen2Support/ |
H A D | LU.h | 22 typedef Matrix<int, 1, MatrixType::ColsAtCompileTime, MatrixType::Options, 1, MatrixType::MaxColsAtCompileTime> IntRowVectorType; 23 typedef Matrix<int, MatrixType::RowsAtCompileTime, 1, MatrixType::Options, MatrixType::MaxRowsAtCompileTime, 1> IntColVectorType; 24 typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime, MatrixType::Options, 1, MatrixType::MaxColsAtCompileTime> RowVectorType; 25 typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1, MatrixType::Options, MatrixType::MaxRowsAtCompileTime, 1> ColVectorType; 27 typedef Matrix<typename MatrixType::Scalar, 37 typedef Matrix<typename MatrixType::Scalar,
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/external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
H A D | chkder.h | 10 const Matrix< Scalar, Dynamic, 1 > &x, 11 const Matrix< Scalar, Dynamic, 1 > &fvec, 12 const Matrix< Scalar, Dynamic, Dynamic > &fjac, 13 Matrix< Scalar, Dynamic, 1 > &xp, 14 const Matrix< Scalar, Dynamic, 1 > &fvecp, 16 Matrix< Scalar, Dynamic, 1 > &err
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H A D | qrsolv.h | 8 Matrix< Scalar, Dynamic, Dynamic > &s, 11 const Matrix< Scalar, Dynamic, 1 > &diag, 12 const Matrix< Scalar, Dynamic, 1 > &qtb, 13 Matrix< Scalar, Dynamic, 1 > &x, 14 Matrix< Scalar, Dynamic, 1 > &sdiag) 23 Matrix< Scalar, Dynamic, 1 > wa(n);
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/external/eigen/unsupported/bench/ |
H A D | bench_svd.cpp | 109 std::cout<<"On a (Dynamic, Dynamic) (6, 6) Matrix" <<std::endl; 110 bench_svd<Matrix<double,Dynamic,Dynamic> >(Matrix<double,Dynamic,Dynamic>(6, 6)); 112 std::cout<<"On a (Dynamic, Dynamic) (32, 32) Matrix" <<std::endl; 113 bench_svd<Matrix<double,Dynamic,Dynamic> >(Matrix<double,Dynamic,Dynamic>(32, 32)); 115 //std::cout<<"On a (Dynamic, Dynamic) (128, 128) Matrix" <<std::endl; 116 //bench_svd<Matrix<double,Dynamic,Dynamic> >(Matrix<double,Dynamic,Dynamic>(128, 128)); 118 std::cout<<"On a (Dynamic, Dynamic) (160, 160) Matrix" <<st [all...] |
/external/llvm/include/llvm/CodeGen/PBQP/ |
H A D | ReductionRules.h | 32 typedef typename GraphT::Matrix Matrix; typedef 41 const Matrix &ECosts = G.getEdgeCosts(EId); 76 typedef typename GraphT::Matrix Matrix; typedef 94 const Matrix *YXECosts = FlipEdge1 ? 95 new Matrix(G.getEdgeCosts(YXEId).transpose()) : 98 const Matrix *ZXECosts = FlipEdge2 ? 99 new Matrix(G.getEdgeCosts(ZXEId).transpose()) : 132 const Matrix 161 typedef typename GraphT::Matrix Matrix; typedef [all...] |
H A D | Math.h | 1 //===------ Math.h - PBQP Vector and Matrix classes -------------*- C++ -*-===// 170 /// \brief PBQP Matrix class 171 class Matrix { 176 /// \brief Construct a PBQP Matrix with the given dimensions. 177 Matrix(unsigned Rows, unsigned Cols) : 181 /// \brief Construct a PBQP Matrix with the given dimensions and initial 183 Matrix(unsigned Rows, unsigned Cols, PBQPNum InitVal) 189 Matrix(const Matrix &M) 195 Matrix(Matri [all...] |