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  /external/chromium_org/third_party/skia/src/utils/
SkPatchGrid.cpp 11 SkPatchGrid::SkPatchGrid(int rows, int cols, VertexType flags, SkXfermode* xfer)
21 this->reset(rows, cols, flags, xfer);
122 void SkPatchGrid::reset(int rows, int cols, VertexType flags, SkXfermode* xMode) {
129 fCols = cols;
  /external/eigen/Eigen/src/Core/
ArrayWrapper.h 54 inline Index cols() const { return m_expression.cols(); } function in class:Eigen::ArrayWrapper
174 inline Index cols() const { return m_expression.cols(); } function in class:Eigen::MatrixWrapper
DiagonalMatrix.h 57 inline Index cols() const { return diagonal().size(); } function in class:Eigen::DiagonalBase
295 if(cols() != rows()) return false;
297 for(Index j = 0; j < cols(); ++j)
302 for(Index j = 0; j < cols(); ++j)
Ref.h 143 : int(Flags)&RowMajorBit ? this->cols()
165 eigen_assert(expr.rows()==1 || expr.cols()==1);
170 eigen_assert(expr.rows()==1 || expr.cols()==1);
174 ::new (static_cast<Base*>(this)) Base(expr.data(), expr.rows(), expr.cols());
Replicate.h 90 inline Index cols() const { return m_matrix.cols() * m_colFactor.value(); } function in class:Eigen::Replicate
100 : colId%m_matrix.cols();
112 : colId%m_matrix.cols();
DenseBase.h 71 using Base::cols;
106 * \sa MatrixBase::rows(), MatrixBase::cols(), ColsAtCompileTime, SizeAtCompileTime */
112 * \sa MatrixBase::rows(), MatrixBase::cols(), RowsAtCompileTime, SizeAtCompileTime */
188 * \code rows()==1 || cols()==1 \endcode
189 * \sa rows(), cols(), IsVectorAtCompileTime. */
199 : int(IsRowMajor) ? this->rows() : this->cols();
210 : int(IsRowMajor) ? this->cols() : this->rows();
231 eigen_assert(nbRows == this->rows() && nbCols == this->cols()
296 Constant(Index rows, Index cols, const Scalar& value);
313 NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func)
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CwiseNullaryOp.h 67 EIGEN_STRONG_INLINE Index cols() const { return m_cols.value(); } function in class:Eigen::CwiseNullaryOp
103 * The parameters \a rows and \a cols are the number of rows and of columns of
107 * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used
117 DenseBase<Derived>::NullaryExpr(Index rows, Index cols, const CustomNullaryOp& func)
119 return CwiseNullaryOp<CustomNullaryOp, Derived>(rows, cols, func);
300 for(Index j = 0; j < cols(); ++j)
334 return derived() = Constant(rows(), cols(), val);
414 * The parameters \a rows and \a cols are the number of rows and of columns of
418 * it is redundant to pass \a rows and \a cols as arguments, so Zero() should be used
484 for(Index j = 0; j < cols(); ++j
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Block.h 118 ||((BlockRows==XprType::RowsAtCompileTime) && (BlockCols==1) && i<xpr.cols())));
128 && a_startCol >= 0 && BlockCols >= 1 && a_startCol + BlockCols <= xpr.cols());
141 && a_startCol >= 0 && blockCols >= 0 && a_startCol <= xpr.cols() - blockCols);
188 m_blockCols(BlockCols==1 ? 1 : xpr.cols())
208 inline Index cols() const { return m_blockCols.value(); } function in class:Eigen::internal::BlockImpl_dense
330 BlockCols==1 ? 1 : xpr.cols()),
  /external/eigen/Eigen/src/Eigenvalues/
ComplexEigenSolver.h 126 : m_eivec(matrix.rows(),matrix.cols()),
127 m_eivalues(matrix.cols()),
131 m_matX(matrix.rows(),matrix.cols())
255 eigen_assert(matrix.cols() == matrix.rows());
  /external/eigen/Eigen/src/SparseCore/
MappedSparseMatrix.h 50 inline Index cols() const { return IsRowMajor ? m_innerSize : m_outerSize; } function in class:Eigen::MappedSparseMatrix
108 inline MappedSparseMatrix(Index rows, Index cols, Index nnz, Index* outerIndexPtr, Index* innerIndexPtr, Scalar* valuePtr)
109 : m_outerSize(IsRowMajor?rows:cols), m_innerSize(IsRowMajor?cols:rows), m_nnz(nnz), m_outerIndex(outerIndexPtr),
SparsePermutation.h 53 inline int cols() const { return m_matrix.cols(); } function in struct:Eigen::internal::permut_sparsematrix_product_retval
59 SparseMatrix<Scalar,SrcStorageOrder,Index> tmp(m_matrix.rows(), m_matrix.cols());
79 SparseMatrix<Scalar,int(SrcStorageOrder)==RowMajor?ColMajor:RowMajor,Index> tmp(m_matrix.rows(), m_matrix.cols());
SparseVector.h 83 EIGEN_STRONG_INLINE Index cols() const { return IsColVector ? 1 : m_size; } function in class:Eigen::SparseVector
196 void resize(Index rows, Index cols)
198 eigen_assert(rows==1 || cols==1);
199 resize(IsColVector ? rows : cols);
214 inline SparseVector(Index rows, Index cols) : m_size(0) { check_template_parameters(); resize(rows,cols); }
  /external/eigen/test/
visitor.cpp 18 Index cols = p.cols(); local
22 m = MatrixType::Random(rows, cols);
30 for(Index j = 0; j < cols; j++)
  /external/eigen/unsupported/Eigen/src/IterativeSolvers/
ConstrainedConjGrad.h 55 Index rows = C.rows(), cols = C.cols(); local
57 TmpVec d(rows), e(rows), l(cols), p(rows), q(rows), r(rows);
124 SparseMatrix<Scalar,RowMajor> CINV(C.rows(), C.cols());
  /external/eigen/unsupported/Eigen/src/NonLinearOptimization/
rwupdt.h 14 const Index n = r.cols();
  /external/opencv/ml/src/
mlestimate.cpp 129 crVal->sampleIdxTrain->cols = crVal->samples_all - k;
131 crVal->sampleIdxEval->cols = k;
193 k = crVal->sampleIdxEval->cols;
462 if (sampleIdx->rows != 1 && sampleIdx->cols != 1)
465 s_len = sampleIdx->rows + sampleIdx->cols - 1;
614 crVal->sampleIdxEval->cols = 0;
615 crVal->sampleIdxTrain->cols = 0;
691 samples_all = ((tflag) ? trueData->rows : trueData->cols);
  /external/chromium_org/third_party/WebKit/Source/core/html/
HTMLTextAreaElement.cpp 167 int cols = value.toInt(); local
168 if (cols <= 0)
169 cols = defaultCols;
170 if (m_cols != cols) {
171 m_cols = cols;
536 void HTMLTextAreaElement::setCols(int cols)
538 setIntegralAttribute(colsAttr, cols);
HTMLTextAreaElement.idl 24 attribute long cols;
  /external/chromium_org/third_party/libvpx/source/libvpx/vp9/common/
vp9_postproc.c 84 int cols,
101 for (col = 0; col < cols; col++) {
124 for (col = 0; col < cols; col++) {
163 int rows, int cols, int flimit) {
180 for (c = 0; c < cols + 8; c++) {
201 int rows, int cols, int flimit) {
205 for (c = 0; c < cols; c++) {
  /external/eigen/Eigen/src/SparseCholesky/
SimplicialCholesky.h 68 inline Index cols() const { return m_matrix.cols(); } function in class:Eigen::SimplicialCholeskyBase
142 s << " L: " << ((total+=(m_matrix.cols()+1) * sizeof(int) + m_matrix.nonZeros()*(sizeof(int)+sizeof(Scalar))) >> 20) << "Mb" << "\n";
187 eigen_assert(matrix.rows()==matrix.cols());
188 Index size = matrix.cols();
198 eigen_assert(a.rows()==a.cols());
199 int size = a.cols();
210 eigen_assert(a.rows()==a.cols());
211 int size = a.cols();
619 eigen_assert(a.rows()==a.cols());
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  /external/opencv/cxcore/src/
cxmatrix.cpp 144 int size = MIN(mat->rows,mat->cols);
553 CV_ASSERT( CV_IS_MAT(matrix) && matrix->rows == matrix->cols );
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cxarray.cpp 124 cvCreateMatHeader( int rows, int cols, int type )
135 if( rows <= 0 || cols <= 0 )
138 min_step = CV_ELEM_SIZE(type)*cols;
148 arr->cols = cols;
166 cvInitMatHeader( CvMat* arr, int rows, int cols,
181 if( rows <= 0 || cols <= 0 )
182 CV_ERROR( CV_StsBadSize, "Non-positive cols or rows" );
187 arr->cols = cols;
1583 int cols; local
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  /external/opencv/cv/src/
cvmorph.cpp 229 _ksize.width == element->cols && _ksize.height == element->rows) )
384 int i, j, cols, rows; local
396 anchor.x = element->cols/2;
401 if( (unsigned)anchor.x >= (unsigned)element->cols ||
409 cols = element->cols;
411 if( rows == 1 || cols == 1 )
417 c = cols/2;
427 j2 = cols;
437 j2 = MIN( c + dx + 1, cols );
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  /external/eigen/Eigen/src/Core/products/
CoeffBasedProduct.h 155 eigen_assert(lhs.cols() == rhs.rows()
161 EIGEN_STRONG_INLINE Index cols() const { return m_rhs.cols(); } function in class:Eigen::CoeffBasedProduct
265 eigen_assert(lhs.cols()>0 && "you are using a non initialized matrix");
267 for(Index i = 1; i < lhs.cols(); ++i)
417 eigen_assert(lhs.cols()>0 && "you are using a non initialized matrix");
419 for(Index i = 1; i < lhs.cols(); ++i)
430 eigen_assert(lhs.cols()>0 && "you are using a non initialized matrix");
432 for(Index i = 1; i < lhs.cols(); ++i)
  /frameworks/support/v4/java/android/support/v4/content/
FileProvider.java 418 String[] cols = new String[projection.length]; local
423 cols[i] = OpenableColumns.DISPLAY_NAME;
426 cols[i] = OpenableColumns.SIZE;
431 cols = copyOf(cols, i);
434 final MatrixCursor cursor = new MatrixCursor(cols, 1);
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