/external/eigen/doc/examples/ |
H A D | tut_arithmetic_redux_basic.cpp | 7 Eigen::Matrix2d mat; local 8 mat << 1, 2, 10 cout << "Here is mat.sum(): " << mat.sum() << endl; 11 cout << "Here is mat.prod(): " << mat.prod() << endl; 12 cout << "Here is mat.mean(): " << mat.mean() << endl; 13 cout << "Here is mat.minCoeff(): " << mat [all...] |
H A D | tut_arithmetic_matrix_mul.cpp | 7 Matrix2d mat; local 8 mat << 1, 2, 11 std::cout << "Here is mat*mat:\n" << mat*mat << std::endl; 12 std::cout << "Here is mat*u:\n" << mat*u << std::endl; 13 std::cout << "Here is u^T*mat:\n" << u.transpose()*mat << st [all...] |
/external/eigen/doc/snippets/ |
H A D | Tutorial_AdvancedInitialization_CommaTemporary.cpp | 1 MatrixXf mat = MatrixXf::Random(2, 3); variable 2 std::cout << mat << std::endl << std::endl; 3 mat = (MatrixXf(2,2) << 0, 1, 1, 0).finished() * mat; 4 std::cout << mat << std::endl;
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/external/eigen/test/eigen2/ |
H A D | eigen2_qr.cpp | 60 Matrix3d mat; local 61 mat << 1, 45, 1, 2, 2, 2, 1, 2, 3; 62 VERIFY(mat.qr().isFullRank()); 63 mat << 1, 1, 1, 2, 2, 2, 1, 2, 3; 65 //VERIFY(!mat.qr().isFullRank());
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/external/eigen/unsupported/test/ |
H A D | matrix_functions.h | 22 MatrixType mat = MatrixType::Random(size, size); local 23 EigenSolver<MatrixType> es(mat);
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/external/opencv3/modules/cudev/include/opencv2/cudev/ptr2d/ |
H A D | gpumat.hpp | 101 __host__ void swap(GpuMat_& mat); 150 reshape_(const GpuMat_<T>& mat, int rows = 0) argument 152 GpuMat_<typename MakeVec<typename VecTraits<T>::elem_type, cn>::type> dst(mat.reshape(cn, rows));
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H A D | glob.hpp | 111 __host__ GlobPtrSz<T> globPtr(const GpuMat& mat) argument 114 p.data = (T*) mat.data; 115 p.step = mat.step; 116 p.rows = mat.rows; 117 p.cols = mat.cols;
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/external/eigen/Eigen/src/Core/ |
H A D | BooleanRedux.h | 25 static inline bool run(const Derived &mat) argument 27 return all_unroller<Derived, UnrollCount-1>::run(mat) && mat.coeff(row, col); 34 static inline bool run(const Derived &/*mat*/) { return true; } 51 static inline bool run(const Derived &mat) argument 53 return any_unroller<Derived, UnrollCount-1>::run(mat) || mat.coeff(row, col); 60 static inline bool run(const Derived & /*mat*/) { return false; }
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/external/eigen/Eigen/src/Householder/ |
H A D | BlockHouseholder.h | 46 void apply_block_householder_on_the_left(MatrixType& mat, const VectorsType& vectors, const CoeffsType& hCoeffs) argument 58 VectorsType::MaxColsAtCompileTime,MatrixType::MaxColsAtCompileTime> tmp = V.adjoint() * mat; 61 mat.noalias() -= V * tmp;
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/external/eigen/bench/ |
H A D | BenchUtil.h | 21 template<typename MatrixType> void initMatrix_random(MatrixType& mat) __attribute__((noinline)); 22 template<typename MatrixType> void initMatrix_random(MatrixType& mat) argument 24 mat.setRandom();// = MatrixType::random(mat.rows(), mat.cols()); 27 template<typename MatrixType> void initMatrix_identity(MatrixType& mat) __attribute__((noinline)); 28 template<typename MatrixType> void initMatrix_identity(MatrixType& mat) argument 30 mat.setIdentity();
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H A D | basicbenchmark.h | 38 double benchBasic(const MatrixType& mat, int size, int tries) __attribute__((noinline)); 41 double benchBasic(const MatrixType& mat, int iterations, int tries) argument 43 const int rows = mat.rows(); 44 const int cols = mat.cols();
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/external/eigen/blas/ |
H A D | GeneralRank1Update.h | 22 static void run(Index rows, Index cols, Scalar* mat, Index stride, const Scalar* u, const Scalar* v, Scalar alpha) argument 29 Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i,rows) += alpha * cj(v[i]) * ConjRhsType(OtherMap(u,rows)); 36 static void run(Index rows, Index cols, Scalar* mat, Index stride, const Scalar* u, const Scalar* v, Scalar alpha) argument 38 general_rank1_update<Scalar,Index,ColMajor,ConjRhs,ConjRhs>::run(rows,cols,mat,stride,u,v,alpha);
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H A D | PackedSelfadjointProduct.h | 25 static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar alpha) argument 33 Map<Matrix<Scalar,Dynamic,1> >(mat, UpLo==Lower ? size-i : (i+1)) += alpha * cj(vec[i]) * ConjRhsType(OtherMap(vec+(UpLo==Lower ? i : 0), UpLo==Lower ? size-i : (i+1))); 35 mat[UpLo==Lower ? 0 : i] = numext::real(mat[UpLo==Lower ? 0 : i]); 36 mat += UpLo==Lower ? size-i : (i+1); 45 static void run(Index size, Scalar* mat, const Scalar* vec, RealScalar alpha) argument 47 selfadjoint_packed_rank1_update<Scalar,Index,ColMajor,UpLo==Lower?Upper:Lower,ConjRhs,ConjLhs>::run(size,mat,vec,alpha);
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H A D | Rank2Update.h | 21 static void run(Index size, Scalar* mat, Index stride, const Scalar* u, const Scalar* v, Scalar alpha) argument 26 Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+(UpLo==Lower ? i : 0), UpLo==Lower ? size-i : (i+1)) += 39 static void run(Index size, Scalar* mat, const Scalar* u, const Scalar* v, Scalar alpha) argument 45 Map<Matrix<Scalar,Dynamic,1> >(mat+offset, UpLo==Lower ? size-i : (i+1)) += 49 mat[offset+(UpLo==Lower ? 0 : i)] = numext::real(mat[offset+(UpLo==Lower ? 0 : i)]);
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/external/skia/gm/ |
H A D | tiledscaledbitmap.cpp | 63 SkMatrix mat; variable 64 mat.setScale(121.f/360.f, 93.f/288.f); 65 mat.postTranslate(-72, -72); 67 SkShader *shader = SkShader::CreateBitmapShader(fBitmap, SkShader::kRepeat_TileMode, SkShader::kRepeat_TileMode, &mat);
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/external/deqp/framework/common/ |
H A D | tcuMatrixUtil.hpp | 59 Matrix<float, 2, 2> mat; local 63 mat(0, 0) = c; 64 mat(0, 1) = -s; 65 mat(1, 0) = s; 66 mat(1, 1) = c; 68 return mat; 73 Matrix<float, 2, 2> mat; local 74 mat(0, 0) = 1.0f; 75 mat(0, 1) = shear.x(); 76 mat( [all...] |
/external/eigen/Eigen/src/Eigen2Support/ |
H A D | Cwise.h | 101 operator+(const Scalar& scalar, const Cwise& mat) argument 102 { return mat + scalar; }
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/external/eigen/Eigen/src/Eigen2Support/Geometry/ |
H A D | RotationBase.h | 116 static inline const MatrixBase<OtherDerived>& ei_toRotationMatrix(const MatrixBase<OtherDerived>& mat) argument 120 return mat;
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/external/llvm/lib/CodeGen/ |
H A D | RegAllocBase.cpp | 59 LiveRegMatrix &mat) { 64 Matrix = &mat; 57 init(VirtRegMap &vrm, LiveIntervals &lis, LiveRegMatrix &mat) argument
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/external/mesa3d/src/gallium/state_trackers/vega/ |
H A D | api_transform.c | 37 struct matrix *mat = vg_state_matrix(&ctx->state.vg); local 38 matrix_load_identity(mat); 44 struct matrix *mat; local 54 mat = vg_state_matrix(&ctx->state.vg); 55 matrix_init(mat, m); 56 if (!matrix_is_affine(mat)) { 58 matrix_make_affine(mat); 66 struct matrix *mat; local 76 mat = vg_state_matrix(&ctx->state.vg); 77 memcpy(m, mat [all...] |
/external/opencv3/modules/cudawarping/perf/ |
H A D | perf_warping.cpp | 254 const double mat[2 * 3] = local 259 const cv::Mat M(2, 3, CV_64F, (void*) mat); 304 double mat[3][3] = { {std::cos(aplha), -std::sin(aplha), static_cast<double>(src.cols) / 2.0}, local 307 const cv::Mat M(3, 3, CV_64F, (void*) mat);
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/external/opencv3/modules/imgproc/src/ |
H A D | utils.cpp | 51 CvMat* mat = (CvMat*)arr; local 53 if( !CV_IS_MAT( mat )) 56 if( CV_MAT_CN(mat->type) == 1 && mat->width == 2 ) 57 mat = cvReshape(mat, &hdr, 2); 59 eltype = CV_MAT_TYPE( mat->type ); 65 if( (mat->width != 1 && mat->height != 1) || !CV_IS_MAT_CONT(mat [all...] |
/external/opencv3/modules/java/generator/src/java/ |
H A D | android+Utils.java | 85 * @param mat is a valid output Mat object, it will be reallocated if needed, so it may be empty. 88 public static void bitmapToMat(Bitmap bmp, Mat mat, boolean unPremultiplyAlpha) { argument 91 if (mat == null) 92 throw new java.lang.IllegalArgumentException("mat == null"); 93 nBitmapToMat2(bmp, mat.nativeObj, unPremultiplyAlpha); 97 * Short form of the bitmapToMat(bmp, mat, unPremultiplyAlpha=false). 99 * @param mat is a valid output Mat object, it will be reallocated if needed, so Mat may be empty. 101 public static void bitmapToMat(Bitmap bmp, Mat mat) { argument 102 bitmapToMat(bmp, mat, false); 114 * @param mat i 118 matToBitmap(Mat mat, Bitmap bmp, boolean premultiplyAlpha) argument 131 matToBitmap(Mat mat, Bitmap bmp) argument [all...] |
/external/eigen/Eigen/src/Core/products/ |
H A D | SelfadjointProduct.h | 25 static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha) argument 32 Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+(UpLo==Lower ? i : 0), (UpLo==Lower ? size-i : (i+1))) 41 static void run(Index size, Scalar* mat, Index stride, const Scalar* vecX, const Scalar* vecY, const Scalar& alpha) argument 43 selfadjoint_rank1_update<Scalar,Index,ColMajor,UpLo==Lower?Upper:Lower,ConjRhs,ConjLhs>::run(size,mat,stride,vecY,vecX,alpha); 53 static void run(MatrixType& mat, const OtherType& other, const typename MatrixType::Scalar& alpha) argument 79 ::run(other.size(), mat.data(), mat.outerStride(), actualOtherPtr, actualOtherPtr, actualAlpha); 86 static void run(MatrixType& mat, const OtherType& other, const typename MatrixType::Scalar& alpha) argument 103 ::run(mat.cols(), actualOther.cols(), 105 mat [all...] |
H A D | SelfadjointRank2Update.h | 27 static void run(Scalar* mat, Index stride, const UType& u, const VType& v, const Scalar& alpha) argument 32 Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i+i, size-i) += 42 static void run(Scalar* mat, Index stride, const UType& u, const VType& v, const Scalar& alpha) argument 46 Map<Matrix<Scalar,Dynamic,1> >(mat+stride*i, i+1) +=
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