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  /external/opencv/cv/src/
cvcalibration.cpp 295 CV_ASSERT( A->cols == B->rows );
298 L = A->cols;
299 N = B->cols;
305 dABdA->rows == A->rows*B->cols && dABdA->cols == A->rows*A->cols );
311 dABdB->rows == A->rows*B->cols && dABdB->cols == B->rows*B->cols );
401 CV_ASSERT( _rvec1->rows == 3 && _rvec1->cols == 1 && CV_ARE_SIZES_EQ(_rvec1, _rvec2) )
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  /external/ceres-solver/internal/ceres/
schur_eliminator_impl.h 88 const int num_col_blocks = bs->cols.size();
102 lhs_num_rows += bs->cols[i].size;
122 const int e_block_size = bs->cols[chunk_block_id].size;
138 buffer_size += e_block_size * bs->cols[cell.block_id].size;
184 const int num_col_blocks = bs->cols.size();
196 const int block_size = bs->cols[i].size;
198 diag(D + bs->cols[i].position, block_size);
232 const int e_block_size = bs->cols[e_block_id].size;
241 diag(D + bs->cols[e_block_id].position, e_block_size);
314 const int e_block_size = bs->cols[e_block_id].size
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  /external/chromium_org/third_party/WebKit/Source/core/rendering/
RenderFrameSet.cpp 137 size_t cols = m_cols.m_sizes.size(); local
143 for (size_t c = 0; c < cols; c++) {
415 size_t cols = m_cols.m_sizes.size(); local
417 for (size_t c = 0; c < cols; ++c) {
436 int cols = frameSet()->totalCols(); local
437 if (rows && cols) {
440 result.setPreventResize(RightFrameEdge, m_cols.m_preventResize[cols]);
441 result.setAllowBorder(RightFrameEdge, m_cols.m_allowBorder[cols]);
460 unsigned cols = frameSet()->totalCols(); local
463 if (m_rows.m_sizes.size() != rows || m_cols.m_sizes.size() != cols) {
500 int cols = frameSet()->totalCols(); local
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  /external/eigen/Eigen/src/Eigenvalues/
ComplexSchur.h 113 : m_matT(matrix.rows(),matrix.cols()),
114 m_matU(matrix.rows(),matrix.cols()),
319 eigen_assert(matrix.cols() == matrix.rows());
321 if(matrix.cols() == 1)
394 Index iu = m_matT.cols() - 1;
431 m_matT.rightCols(m_matT.cols()-il).applyOnTheLeft(il, il+1, rot.adjoint());
439 m_matT.rightCols(m_matT.cols()-i).applyOnTheLeft(i, i+1, rot.adjoint());
Tridiagonalization.h 131 m_hCoeffs(matrix.cols() > 1 ? matrix.cols()-1 : 1),
353 eigen_assert(n==matA.cols());
429 eigen_assert(mat.cols()==mat.rows() && diag.size()==mat.rows() && subdiag.size()==mat.rows()-1);
445 CoeffVectorType hCoeffs(mat.cols()-1);
547 Index cols() const { return m_matrix.cols(); } function in struct:Eigen::internal::TridiagonalizationMatrixTReturnType
  /external/eigen/test/
nomalloc.cpp 41 Index cols = m.cols(); local
43 MatrixType m1 = MatrixType::Random(rows, cols),
44 m2 = MatrixType::Random(rows, cols),
45 m3(rows, cols);
50 c = internal::random<Index>(0, cols-1);
54 VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), (m1.array()*m1.array()).matrix());
product_trmv.cpp 22 Index cols = m.cols(); local
24 MatrixType m1 = MatrixType::Random(rows, cols),
25 m3(rows, cols);
30 m1 = MatrixType::Random(rows, cols);
product_trsolve.cpp 30 template<typename Scalar,int Size, int Cols> void trsolve(int size=Size,int cols=Cols)
38 rowmajor = Cols==1 ? ColMajor : RowMajor };
39 Matrix<Scalar,Size,Cols,colmajor> cmRhs(size,cols);
40 Matrix<Scalar,Size,Cols,rowmajor> rmRhs(size,cols);
41 Matrix<Scalar,Dynamic,Dynamic,colmajor> ref(size,cols);
71 int c = internal::random<int>(0,cols-1)
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qtvector.cpp 24 Index cols = m.cols(); local
25 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
26 QVector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
stddeque.cpp 21 Index cols = m.cols(); local
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);
stdlist.cpp 21 Index cols = m.cols(); local
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);
stdvector.cpp 18 typename MatrixType::Index cols = m.cols(); local
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);
stdvector_overload.cpp 32 typename MatrixType::Index cols = m.cols(); local
33 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
34 std::vector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
  /external/opencv/cvaux/src/
cvlevmartrif.cpp 90 if( Jacobian->rows == numPoints*6 || Jacobian->cols != 36+numPoints*4 )
205 if( resFunc->rows == 2*numPoints*3 || resFunc->cols != 1 )
294 numPoints = resultPoints4D->cols;
340 if( projMatrs[i]->rows != 3 || projMatrs[i]->cols != 4 )
345 if( projPoints[i]->rows != 2 || projPoints[i]->cols != numPoints )
350 if( resultProjMatrs[i]->rows != 3 || resultProjMatrs[i]->cols != 4 )
454 numPoints = points->cols;
  /external/chromium_org/third_party/mesa/src/src/mapi/mapi/
mapi_abi.py 47 def __init__(self, cols, attrs):
48 self._parse(cols)
85 def _parse(self, cols):
86 ret = cols.pop(0)
90 name = cols.pop(0)
93 if not cols:
94 raise Exception(cols)
95 elif len(cols) == 1 and cols[0] == 'void':
98 for val in cols
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  /external/eigen/unsupported/Eigen/src/SVD/
BDCSVD.h 44 using Base::cols;
90 BDCSVD(Index rows, Index cols, unsigned int computationOptions = 0)
94 allocate(rows, cols, computationOptions);
198 void allocate(Index rows, Index cols, unsigned int computationOptions);
218 void BDCSVD<MatrixType>::allocate(Index rows, Index cols, unsigned int computationOptions)
220 isTranspose = (cols > rows);
221 if (SVDBase<MatrixType>::allocate(rows, cols, computationOptions)) return;
256 allocate(matrix.rows(), matrix.cols(), computationOptions);
258 m_computed = Matrix<int, Dynamic, Dynamic>::Zero(rows(), cols());
263 if (this->m_computeFullV) this->m_matrixV = Matrix<int, Dynamic, Dynamic>::Zero(cols(), cols());
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  /external/mesa3d/src/mapi/mapi/
mapi_abi.py 47 def __init__(self, cols, attrs):
48 self._parse(cols)
85 def _parse(self, cols):
86 ret = cols.pop(0)
90 name = cols.pop(0)
93 if not cols:
94 raise Exception(cols)
95 elif len(cols) == 1 and cols[0] == 'void':
98 for val in cols
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  /external/opencv/ml/src/
mlnbayes.cpp 63 for( int cls = 0; cls < cls_labels->cols; cls++ )
145 nclasses = cls_labels->cols;
183 if( cls_labels->cols != __cls_labels->cols ||
189 nclasses = cls_labels->cols;
297 nclasses = cls_labels->cols;
298 _var_count = avg[0]->cols;
300 if( !CV_IS_MAT(samples) || CV_MAT_TYPE(samples->type) != CV_32FC1 || samples->cols != var_all )
312 results->cols != 1 && results->rows != 1 ||
313 results->cols + results->rows - 1 != samples->rows
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  /external/chromium_org/ui/app_list/views/
apps_container_view.cc 29 int cols; local
32 cols = kExperimentalPreferredCols;
35 cols = kCenteredPreferredCols;
38 cols = kPreferredCols;
41 apps_grid_view_->SetLayout(cols, rows);
  /external/eigen/Eigen/src/Core/
CwiseBinaryOp.h 131 eigen_assert(aLhs.rows() == aRhs.rows() && aLhs.cols() == aRhs.cols());
141 EIGEN_STRONG_INLINE Index cols() const { function in class:Eigen::CwiseBinaryOp
144 return m_rhs.cols();
146 return m_lhs.cols();
  /external/eigen/test/eigen2/
eigen2_newstdvector.cpp 19 int cols = m.cols(); local
20 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
21 std::vector<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
eigen2_qtvector.cpp 24 int cols = m.cols(); local
25 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
26 QVector<MatrixType> v(10, MatrixType(rows,cols)), w(20, y);
eigen2_stdvector.cpp 18 int cols = m.cols(); local
19 MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
20 std::vector<MatrixType, aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
  /external/eigen/unsupported/test/
jacobisvd.cpp 40 if (QRPreconditioner == NoQRPreconditioner && m.rows() != m.cols())
55 MatrixType m = pickrandom ? MatrixType::Random(a.rows(), a.cols()) : a;
72 Index cols = m.cols(); local
79 MatrixType a = MatrixType::Zero(rows, cols);
  /external/opencv/cxcore/src/
cximage.cpp 88 CV_CALL( img = cvCreateImageHeader( cvSize(m->cols,m->rows),
215 CvMatrix::CvMatrix( int rows, int cols, int type, CvMemStorage* storage, bool alloc_data )
220 cvInitMatHeader( matrix, rows, cols, type, alloc_data ?
221 cvMemStorageAlloc( storage, rows*cols*CV_ELEM_SIZE(type) ) : 0 );
242 CV_CALL( m = cvCreateMat( src->rows, src->cols, src->type ));
275 CV_CALL( temp_mat = cvCreateMat( m->rows, m->cols,

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