| /external/eigen/test/ |
| basicstuff.cpp | 22 Index cols = m.cols(); local
26 MatrixType m1 = MatrixType::Random(rows, cols),
27 m2 = MatrixType::Random(rows, cols),
28 m3(rows, cols),
29 mzero = MatrixType::Zero(rows, cols),
39 c = internal::random<Index>(0, cols-1);
70 VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows,cols)(r,c), static_cast<Scalar>(1));
81 if(cols!=1 && rows!=1 && MatrixType::SizeAtCompileTime!=Dynamic)
83 VERIFY_RAISES_ASSERT(m1 = (m2.block(0,0, rows-1, cols-1)))
153 Index cols = m.cols(); local
[all...] |
| is_same_dense.cpp | 25 VERIFY(is_same_dense(m1.block(0,0,m1.rows(),m1.cols()),m1));
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| jacobisvd.cpp | 32 if(m.rows()==m.cols())
41 Index cols = m.cols(); local
48 MatrixType a = MatrixType::Zero(rows, cols);
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| nesting_ops.cpp | 19 typename XprType::PlainObject res(mat.rows(), mat.cols());
52 Index cols = _m.cols(); local
53 MatrixType m1 = MatrixType::Random(rows,cols);
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| product_notemporary.cpp | 27 Index cols = m.cols(); local
29 ColMajorMatrixType m1 = MatrixType::Random(rows, cols),
30 m2 = MatrixType::Random(rows, cols),
31 m3(rows, cols);
33 ColVectorType cv1 = ColVectorType::Random(cols), cvres(cols);
34 RowMajorMatrixType rm3(rows, cols);
40 Index c0 = internal::random<Index>(4,cols-8),
41 c1 = internal::random<Index>(8,cols-c0)
[all...] |
| stable_norm.cpp | 55 Index cols = m.cols(); local
68 MatrixType vzero = MatrixType::Zero(rows, cols),
69 vrand = MatrixType::Random(rows, cols),
70 vbig(rows, cols),
71 vsmall(rows,cols);
112 Index j = internal::random<Index>(0,cols-1);
156 Index j2 = internal::random<Index>(0,cols-1);
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| eigensolver_generic.cpp | 22 Index cols = m.cols(); local
29 MatrixType a = MatrixType::Random(rows,cols);
30 MatrixType a1 = MatrixType::Random(rows,cols);
63 MatrixType id = MatrixType::Identity(rows, cols);
98 MatrixType a = MatrixType::Random(m.rows(),m.cols());
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| svd_fill.h | 27 Index diagSize = (std::min)(m.rows(), m.cols());
46 Matrix<Scalar,Dynamic,Dynamic> VT(diagSize,m.cols());
57 createRandomPIMatrixOfRank(diagSize,U.rows(), U.cols(), U);
58 createRandomPIMatrixOfRank(diagSize,VT.rows(), VT.cols(), VT);
93 Index j = internal::random<Index>(0,m.cols()-1);
111 Index j = internal::random<Index>(0,m.cols()-1);
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| /external/eigen/unsupported/Eigen/src/MatrixFunctions/ |
| MatrixSquareRoot.h | 184 eigen_assert(arg.rows() == arg.cols());
185 result.resize(arg.rows(), arg.cols());
212 eigen_assert(arg.rows() == arg.cols());
216 result.resize(arg.rows(), arg.cols());
220 for (Index j = 1; j < arg.cols(); j++) {
262 eigen_assert(arg.rows() == arg.cols());
270 MatrixType sqrtT = MatrixType::Zero(arg.rows(), arg.cols());
287 eigen_assert(arg.rows() == arg.cols());
347 Index cols() const { return m_src.cols(); } function in class:Eigen::MatrixSquareRootReturnValue
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| /external/eigen/unsupported/Eigen/src/Splines/ |
| SplineFitting.h | 193 const DenseIndex n = pts.cols();
196 chord_lengths.resize(pts.cols());
300 DenseIndex n = pts.cols();
343 const DenseIndex n = points.cols() + derivatives.cols();
374 if (derivativeIndices[derivatives.cols() - 1] == points.cols() - 1)
379 b.col(b.cols() - 2) = y*derivatives.col(derivatives.cols() - 1);
403 b.col(b.cols() - 1) = points.col(points.cols() - 1)
[all...] |
| /external/opencv/cv/src/ |
| cvfundam.cpp | 113 int i, count = _err->rows*_err->cols, goodCount = 0;
176 int count = m1->rows*m1->cols, maxGoodCount = 0;
271 int count = m1->rows*m1->cols;
361 int count = m1->cols*m1->rows;
446 int i, count = m1->rows*m1->cols;
509 int i, count = m1->rows*m1->cols;
527 int i, j, k, count = m1->rows*m1->cols;
530 CvMat modelPart = cvMat( solver.param->rows, solver.param->cols, model->type, model->data.ptr );
594 count = MAX(imagePoints->cols, imagePoints->rows);
606 (mask->rows == 1 || mask->cols == 1) &
[all...] |
| /external/eigen/Eigen/src/Core/ |
| Assign.h | 30 eigen_assert(rows() == other.rows() && cols() == other.cols());
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| CwiseUnaryOp.h | 71 Index cols() const { return m_xpr.cols(); } function in class:Eigen::CwiseUnaryOp
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| NestByValue.h | 45 EIGEN_DEVICE_FUNC inline Index cols() const { return m_expression.cols(); } function in class:Eigen::NestByValue
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| /external/eigen/Eigen/src/Core/products/ |
| TriangularMatrixVector_BLAS.h | 94 Index cols = IsLower ? size : _cols; \
100 Map<const VectorRhs, 0, InnerStride<> > rhs(_rhs,cols,InnerStride<>(rhsIncr)); \
129 if (size<(std::max)(rows,cols)) { \
143 n = convert_index<BlasIndex>(cols-size); \
176 Index cols = IsLower ? size : _cols; \
182 Map<const VectorRhs, 0, InnerStride<> > rhs(_rhs,cols,InnerStride<>(rhsIncr)); \
211 if (size<(std::max)(rows,cols)) { \
225 n = convert_index<BlasIndex>(cols-size); \
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| /external/eigen/Eigen/src/Eigenvalues/ |
| RealSchur_LAPACKE.h | 45 eigen_assert(matrix.cols() == matrix.rows()); \
47 lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), sdim, info; \
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| SelfAdjointEigenSolver_LAPACKE.h | 45 eigen_assert(matrix.cols() == matrix.rows()); \
50 lapack_int n = internal::convert_index<lapack_int>(matrix.cols()), lda, matrix_order, info; \
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| /external/eigen/Eigen/src/SparseCore/ |
| SparseSparseProductWithPruning.h | 29 Index cols = rhs.outerSize(); local
38 res.resize(cols, rows);
40 res.resize(rows, cols);
54 double ratioColRes = double(estimated_nnz_prod)/(double(lhs.rows())*double(rhs.cols()));
55 for (Index j=0; j<cols; ++j)
58 //double ratioColRes = (double(rhs.innerVector(j).nonZeros()) + double(lhs.nonZeros())/double(lhs.cols()))/double(lhs.rows());
93 typename remove_all<ResultType>::type _res(res.rows(), res.cols());
107 SparseTemporaryType _res(res.rows(), res.cols());
120 typename remove_all<ResultType>::type _res(res.rows(), res.cols());
140 // SparseTemporaryType _res(res.cols(), res.rows())
[all...] |
| /external/eigen/unsupported/Eigen/src/Skyline/ |
| SkylineInplaceLU.h | 37 : /*m_matrix(matrix.rows(), matrix.cols()),*/ m_flags(flags), m_status(0), m_lu(matrix) {
122 const size_t cols = m_lu.cols(); local
124 eigen_assert(rows == cols && "We do not (yet) support rectangular LU.");
186 const size_t cols = m_lu.cols(); local
188 eigen_assert(rows == cols && "We do not (yet) support rectangular LU.");
309 const size_t cols = m_lu.cols(); local
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| /external/libvpx/libvpx/vp9/common/ |
| vp9_idct.h | 30 transform_1d cols, rows; // vertical and horizontal member in struct:__anon24520
37 highbd_transform_1d cols, rows; // vertical and horizontal member in struct:__anon24521
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| /external/libvterm/include/ |
| vterm.h | 122 VTerm *vterm_new(int rows, int cols);
123 VTerm *vterm_new_with_allocator(int rows, int cols, VTermAllocatorFunctions *funcs, void *allocdata);
127 void vterm_set_size(VTerm *vt, int rows, int cols);
174 int (*resize)(int rows, int cols, void *user);
196 int (*resize)(int rows, int cols, VTermPos *delta, void *user);
243 int (*resize)(int rows, int cols, void *user);
244 int (*sb_pushline)(int cols, const VTermScreenCell *cells, void *user);
245 int (*sb_popline)(int cols, VTermScreenCell *cells, void *user);
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| /external/eigen/Eigen/src/IterativeLinearSolvers/ |
| IterativeSolverBase.h | 253 Index cols() const { return matrix().cols(); } function in class:Eigen::IterativeSolverBase
283 return (m_maxIterations<0) ? 2*matrix().cols() : m_maxIterations;
338 Index rhsCols = b.cols();
343 Eigen::Matrix<DestScalar,Dynamic,1> tx(cols());
346 typename DestDerived::PlainObject tmp(cols(),rhsCols);
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| /external/eigen/Eigen/src/SVD/ |
| SVDBase.h | 193 inline Index cols() const { return m_cols; } function in class:Eigen::SVDBase
227 bool allocate(Index rows, Index cols, unsigned int computationOptions) ;
275 bool SVDBase<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions)
277 eigen_assert(rows >= 0 && cols >= 0);
281 cols == m_cols &&
288 m_cols = cols;
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| /external/eigen/Eigen/src/plugins/ |
| ArrayCwiseBinaryOps.h | 49 return (min)(Derived::PlainObject::Constant(rows(), cols(), other));
75 return (max)(Derived::PlainObject::Constant(rows(), cols(), other));
119 return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \
123 return Derived::PlainObject::Constant(d.rows(), d.cols(), s).OP(d); \
136 return Derived::PlainObject::Constant(rows(), cols(), s).R_OP(*this); \
140 return d.R_OP(Derived::PlainObject::Constant(d.rows(), d.cols(), s)); \
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| /external/eigen/unsupported/test/ |
| matrix_exponential.cpp | 104 typename MatrixType::Index cols = m.cols(); local
105 MatrixType m1(rows, cols), m2(rows, cols), identity = MatrixType::Identity(rows, cols);
110 m1 = MatrixType::Random(rows, cols);
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