| /external/eigen/doc/snippets/ |
| Tutorial_Map_using.cpp | 1 typedef Matrix<float,1,Dynamic> MatrixType;
2 typedef Map<MatrixType> MapType;
3 typedef Map<const MatrixType> MapTypeConst; // a read-only map
6 MatrixType m1(n_dims), m2(n_dims);
|
| /external/eigen/test/ |
| constructor.cpp | 15 template<typename MatrixType> struct Wrapper
17 MatrixType m_mat;
18 inline Wrapper(const MatrixType &x) : m_mat(x) {}
19 inline operator const MatrixType& () const { return m_mat; }
20 inline operator MatrixType& () { return m_mat; }
23 template<typename MatrixType> void ctor_init1(const MatrixType& m)
29 MatrixType m0 = MatrixType::Random(rows,cols);
31 VERIFY_EVALUATION_COUNT( MatrixType m1(m0), 1)
[all...] |
| conservative_resize.cpp | 19 typedef Matrix<Scalar, Eigen::Dynamic, Eigen::Dynamic, Storage> MatrixType;
20 typedef typename MatrixType::Index Index;
22 MatrixType m, n;
25 m = n = MatrixType::Random(50,50);
29 m = n = MatrixType::Random(50,50);
33 m = n = MatrixType::Random(50,50);
42 m = n = MatrixType::Random(50,50);
52 m = n = MatrixType::Random(50,50);
53 m.conservativeResizeLike(MatrixType::Zero(rows,cols));
|
| hessenberg.cpp | 16 typedef Matrix<Scalar,Size,Size> MatrixType;
20 MatrixType m = MatrixType::Random(size,size);
21 HessenbergDecomposition<MatrixType> hess(m);
22 MatrixType Q = hess.matrixQ();
23 MatrixType H = hess.matrixH();
27 VERIFY(H(row,col) == (typename MatrixType::Scalar)0);
33 MatrixType A = MatrixType::Random(size, size);
34 HessenbergDecomposition<MatrixType> cs1
[all...] |
| qtvector.cpp | 18 template<typename MatrixType>
19 void check_qtvector_matrix(const MatrixType& m)
21 typedef typename MatrixType::Index Index;
25 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
26 QVector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
47 VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(MatrixType));
51 MatrixType* ref = &w[0]
[all...] |
| stddeque.cpp | 15 template<typename MatrixType>
16 void check_stddeque_matrix(const MatrixType& m)
18 typedef typename MatrixType::Index Index;
22 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
23 std::deque<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
29 typename std::deque<MatrixType,Eigen::aligned_allocator<MatrixType> >::iterator vi = v.begin()
[all...] |
| stddeque_overload.cpp | 28 template<typename MatrixType>
29 void check_stddeque_matrix(const MatrixType& m)
31 typename MatrixType::Index rows = m.rows();
32 typename MatrixType::Index cols = m.cols();
33 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
34 std::deque<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
54 MatrixType* ref = &w[0]
[all...] |
| stdlist.cpp | 15 template<typename MatrixType>
16 void check_stdlist_matrix(const MatrixType& m)
18 typedef typename MatrixType::Index Index;
22 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
23 std::list<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
29 typename std::list<MatrixType,Eigen::aligned_allocator<MatrixType> >::iterator vi = v.begin()
[all...] |
| stdlist_overload.cpp | 44 template<typename MatrixType>
45 void check_stdlist_matrix(const MatrixType& m)
47 typename MatrixType::Index rows = m.rows();
48 typename MatrixType::Index cols = m.cols();
49 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
50 std::list<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
51 typename std::list<MatrixType>::iterator itv = get(v, 5)
[all...] |
| stdvector.cpp | 14 template<typename MatrixType>
15 void check_stdvector_matrix(const MatrixType& m)
17 typename MatrixType::Index rows = m.rows();
18 typename MatrixType::Index cols = m.cols();
19 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
20 std::vector<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y)
[all...] |
| stdvector_overload.cpp | 28 template<typename MatrixType>
29 void check_stdvector_matrix(const MatrixType& m)
31 typename MatrixType::Index rows = m.rows();
32 typename MatrixType::Index cols = m.cols();
33 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
34 std::vector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
51 VERIFY((internal::UIntPtr)&(v[22]) == (internal::UIntPtr)&(v[21]) + sizeof(MatrixType));
[all...] |
| product_large.cpp | 17 typedef Matrix<T,Dynamic,Dynamic> MatrixType;
22 MatrixType A(rows,cols); A.setRandom();
|
| product_symm.cpp | 14 typedef Matrix<Scalar, Size, Size> MatrixType;
19 typedef typename MatrixType::Index Index;
24 MatrixType m1 = MatrixType::Random(rows, cols),
25 m2 = MatrixType::Random(rows, cols), m3;
|
| spqr_support.cpp | 14 template<typename MatrixType,typename DenseMat>
15 int generate_sparse_rectangular_problem(MatrixType& A, DenseMat& dA, int maxRows = 300, int maxCols = 300)
18 typedef typename MatrixType::Scalar Scalar;
32 typedef SparseMatrix<Scalar,ColMajor> MatrixType;
33 MatrixType A;
37 SPQR<MatrixType> solver;
|
| /external/eigen/Eigen/src/Eigenvalues/ |
| GeneralizedSelfAdjointEigenSolver.h | 37 * GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int)
42 * The documentation for GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int)
53 typedef _MatrixType MatrixType;
89 * This constructor calls compute(const MatrixType&, const MatrixType&, int)
104 * \sa compute(const MatrixType&, const MatrixType&, int)
106 GeneralizedSelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB
[all...] |
| /external/eigen/doc/examples/ |
| make_circulant2.cpp | 29 ArgType::MaxSizeAtCompileTime> MatrixType;
35 CwiseNullaryOp<circulant_functor<ArgType>, typename circulant_helper<ArgType>::MatrixType>
38 typedef typename circulant_helper<ArgType>::MatrixType MatrixType;
39 return MatrixType::NullaryExpr(arg.size(), arg.size(), circulant_functor<ArgType>(arg.derived()));
|
| nullary_indexing.cpp | 18 ColIndexType::MaxSizeAtCompileTime> MatrixType;
32 CwiseNullaryOp<indexing_functor<ArgType,RowIndexType,ColIndexType>, typename indexing_functor<ArgType,RowIndexType,ColIndexType>::MatrixType>
36 typedef typename Func::MatrixType MatrixType;
37 return MatrixType::NullaryExpr(row_indices.size(), col_indices.size(), Func(arg.derived(), row_indices, col_indices));
|
| /external/eigen/Eigen/src/SparseLU/ |
| SparseLUImpl.h | 31 typedef SparseMatrix<Scalar,ColMajor,StorageIndex> MatrixType;
41 Index snode_dfs(const Index jcol, const Index kcol,const MatrixType& mat, IndexVector& xprune, IndexVector& marker, GlobalLU_t& glu);
49 void panel_dfs(const Index m, const Index w, const Index jcol, MatrixType& A, IndexVector& perm_r, Index& nseg, ScalarVector& dense, IndexVector& panel_lsub, IndexVector& segrep, IndexVector& repfnz, IndexVector& xprune, IndexVector& marker, IndexVector& parent, IndexVector& xplore, GlobalLU_t& glu);
|
| /external/eigen/unsupported/Eigen/src/IterativeSolvers/ |
| IncompleteLU.h | 28 typedef Matrix<Scalar,Dynamic,Dynamic> MatrixType;
32 template<typename MatrixType>
33 IncompleteLU(const MatrixType& mat)
41 template<typename MatrixType>
42 IncompleteLU& compute(const MatrixType& mat)
|
| /external/skia/src/gpu/ |
| GrPrimitiveProcessor.cpp | 25 enum MatrixType {
|
| /external/skqp/src/gpu/ |
| GrPrimitiveProcessor.cpp | 25 enum MatrixType {
|
| /external/eigen/Eigen/src/misc/ |
| Image.h | 23 typedef typename DecompositionType::MatrixType MatrixType;
25 typename MatrixType::Scalar,
26 MatrixType::RowsAtCompileTime, // the image is a subspace of the destination space, whose
29 MatrixType::Options,
30 MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix,
31 MatrixType::MaxColsAtCompileTime // so it has the same number of rows and at most as many columns.
39 typedef typename DecompositionType::MatrixType MatrixType;
42 image_retval_base(const DecompositionType& dec, const MatrixType& originalMatrix
[all...] |
| Kernel.h | 23 typedef typename DecompositionType::MatrixType MatrixType;
25 typename MatrixType::Scalar,
26 MatrixType::ColsAtCompileTime, // the number of rows in the "kernel matrix"
30 MatrixType::Options,
31 MatrixType::MaxColsAtCompileTime, // see explanation for 2nd template parameter
32 MatrixType::MaxColsAtCompileTime // the kernel is a subspace of the domain space,
67 typedef typename DecompositionType::MatrixType MatrixType; \
68 typedef typename MatrixType::Scalar Scalar;
[all...] |
| /external/eigen/bench/ |
| benchmark-blocking-sizes.cpp | 52 typedef MatrixXf MatrixType;
53 typedef MatrixType::Scalar Scalar;
187 MatrixType *lhs = new MatrixType[matrix_pool_size];
188 MatrixType *rhs = new MatrixType[matrix_pool_size];
189 MatrixType *dst = new MatrixType[matrix_pool_size];
192 lhs[i] = MatrixType::Zero(productsizes.m, productsizes.k);
193 rhs[i] = MatrixType::Zero(productsizes.k, productsizes.n)
[all...] |
| /external/eigen/Eigen/src/Core/ |
| ConditionEstimator.h | 58 typedef typename Decomposition::MatrixType MatrixType;
61 typedef typename internal::plain_col_type<MatrixType>::type Vector;
62 typedef typename internal::plain_col_type<MatrixType, RealScalar>::type RealVector;
|
