/external/eigen/Eigen/src/Core/ |
ReturnByValue.h | 37 * So the only way that nesting it in an expression can work, is by evaluating it into a plain matrix. 38 * So internal::nested always gives the plain return matrix type.
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/external/eigen/Eigen/src/Householder/ |
BlockHouseholder.h | 51 Matrix<typename MatrixType::Scalar, TFactorSize, TFactorSize> T(nbVecs,nbVecs); 57 Matrix<typename MatrixType::Scalar,VectorsType::ColsAtCompileTime,MatrixType::ColsAtCompileTime,0,
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/external/eigen/Eigen/src/SparseCore/ |
SparseMatrix.h | 19 * \brief A versatible sparse matrix representation 27 * A call to the function makeCompressed() turns the matrix into the standard \em compressed format 110 Eigen::Map<Matrix<Index,Dynamic,1> > innerNonZeros() { return Eigen::Map<Matrix<Index,Dynamic,1> >(m_innerNonZeros, m_innerNonZeros?m_outerSize:0); } 111 const Eigen::Map<const Matrix<Index,Dynamic,1> > innerNonZeros() const { return Eigen::Map<const Matrix<Index,Dynamic,1> >(m_innerNonZeros, m_innerNonZeros?m_outerSize:0); } 118 /** \returns the number of rows of the matrix */ 120 /** \returns the number of columns of the matrix */ 123 /** \returns the number of rows (resp. columns) of the matrix if the storage order column major (resp. row major) */ 125 /** \returns the number of columns (resp. rows) of the matrix if the storage order column major (resp. row major) * [all...] |
/external/eigen/bench/btl/actions/ |
action_rot.hh | 36 // STL matrix and vector initialization 41 // generic matrix and vector initialization
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/external/eigen/blas/ |
ctpsv.f | 18 * non-unit, upper or lower triangular matrix, supplied in packed form. 27 * On entry, UPLO specifies whether the matrix is an upper or 28 * lower triangular matrix as follows: 30 * UPLO = 'U' or 'u' A is an upper triangular matrix. 32 * UPLO = 'L' or 'l' A is a lower triangular matrix. 60 * On entry, N specifies the order of the matrix A. 67 * contain the upper triangular matrix packed sequentially, 72 * contain the lower triangular matrix packed sequentially,
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dtpsv.f | 18 * non-unit, upper or lower triangular matrix, supplied in packed form. 27 * On entry, UPLO specifies whether the matrix is an upper or 28 * lower triangular matrix as follows: 30 * UPLO = 'U' or 'u' A is an upper triangular matrix. 32 * UPLO = 'L' or 'l' A is a lower triangular matrix. 60 * On entry, N specifies the order of the matrix A. 67 * contain the upper triangular matrix packed sequentially, 72 * contain the lower triangular matrix packed sequentially,
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stpsv.f | 18 * non-unit, upper or lower triangular matrix, supplied in packed form. 27 * On entry, UPLO specifies whether the matrix is an upper or 28 * lower triangular matrix as follows: 30 * UPLO = 'U' or 'u' A is an upper triangular matrix. 32 * UPLO = 'L' or 'l' A is a lower triangular matrix. 60 * On entry, N specifies the order of the matrix A. 67 * contain the upper triangular matrix packed sequentially, 72 * contain the lower triangular matrix packed sequentially,
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ztpsv.f | 18 * non-unit, upper or lower triangular matrix, supplied in packed form. 27 * On entry, UPLO specifies whether the matrix is an upper or 28 * lower triangular matrix as follows: 30 * UPLO = 'U' or 'u' A is an upper triangular matrix. 32 * UPLO = 'L' or 'l' A is a lower triangular matrix. 60 * On entry, N specifies the order of the matrix A. 67 * contain the upper triangular matrix packed sequentially, 72 * contain the lower triangular matrix packed sequentially,
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/external/eigen/doc/ |
B01_Experimental.dox | 35 \li Matrix 42 \li Matrix : full API stability (except for experimental stuff inherited from MatrixBase)
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/external/eigen/lapack/ |
cholesky.cpp | 13 // POTRF computes the Cholesky factorization of a real symmetric positive definite matrix A. 39 // positive definite matrix A using the Cholesky factorization
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/external/eigen/test/eigen2/ |
eigen2_parametrizedline.cpp | 25 typedef Matrix<Scalar, LineType::AmbientDimAtCompileTime, 1> VectorType; 26 typedef Matrix<Scalar, LineType::AmbientDimAtCompileTime,
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eigen2_qr.cpp | 22 typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, MatrixType::ColsAtCompileTime> SquareMatrixType; 23 typedef Matrix<Scalar, MatrixType::ColsAtCompileTime, 1> VectorType;
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eigen2_sparse_vector.cpp | 16 typedef Matrix<Scalar,Dynamic,Dynamic> DenseMatrix; 17 typedef Matrix<Scalar,Dynamic,1> DenseVector;
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/external/eigen/test/ |
prec_inverse_4x4.cpp | 63 CALL_SUBTEST_2((inverse_permutation_4x4<Matrix<double,4,4,RowMajor> >())); 64 CALL_SUBTEST_2(( inverse_general_4x4<Matrix<double,4,4,RowMajor> >(200000 * g_repeat) ));
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product_mmtr.cpp | 24 typedef Matrix<Scalar,Dynamic,Dynamic,ColMajor> MatrixColMaj; 25 typedef Matrix<Scalar,Dynamic,Dynamic,RowMajor> MatrixRowMaj;
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/external/eigen/unsupported/Eigen/ |
OpenGLSupport | 144 template<typename Scalar> void glScale(const UniformScaling<Scalar>& s) { glScale(Matrix<Scalar,3,1>::Constant(s.factor())); } 164 template<typename Scalar> void glMultMatrix(const Transform<Scalar,3,Affine>& t) { glMultMatrix(t.matrix()); } 165 template<typename Scalar> void glMultMatrix(const Transform<Scalar,3,Projective>& t) { glMultMatrix(t.matrix()); } 166 template<typename Scalar> void glMultMatrix(const Transform<Scalar,3,AffineCompact>& t) { glMultMatrix(Transform<Scalar,3,Affine>(t).matrix()); } 172 template<typename Scalar> void glLoadMatrix(const Transform<Scalar,3,Affine>& t) { glLoadMatrix(t.matrix()); } 173 template<typename Scalar> void glLoadMatrix(const Transform<Scalar,3,Projective>& t) { glLoadMatrix(t.matrix()); } 174 template<typename Scalar> void glLoadMatrix(const Transform<Scalar,3,AffineCompact>& t) { glLoadMatrix(Transform<Scalar,3,Affine>(t).matrix()); } 188 glMultMatrix(tr.matrix());
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/external/eigen/unsupported/Eigen/src/Skyline/ |
SkylineProduct.h | 137 //Use matrix diagonal part <- Improvement : use inner iterator on dense matrix. 143 //Use matrix lower triangular part 163 //Use matrix upper triangular part 200 //Use matrix diagonal part <- Improvement : use inner iterator on dense matrix. 207 //Use matrix upper triangular part 228 //Use matrix lower triangular part
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/external/eigen/unsupported/test/ |
alignedvector3.cpp | 18 typedef Matrix<Scalar,3,1> RefType; 19 typedef Matrix<Scalar,3,3> Mat33;
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/external/mesa3d/src/gallium/state_trackers/vega/ |
bezier.h | 31 struct matrix; 61 struct matrix *mat);
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image.h | 82 void image_draw(struct vg_image *img, struct matrix *matrix);
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/external/opencv/cv/src/ |
cvposit.cpp | 61 /* buffer for inverse matrix = N*3*float */ 103 * Compute pseudoinverse matrix * 253 // Purpose: Pseudoinverse N x 3 matrix N >= 3 256 // a - input matrix 262 // Notes: Both matrix are stored by n-dimensional vectors. 280 /* compute matrix ata = transpose(a) * a */ 295 /* inverse matrix ata */ 312 /* compute resultant matrix */
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/external/opencv/otherlibs/highgui/ |
loadsave.cpp | 392 CvMat hdr, *matrix = 0; local 442 CV_CALL( matrix = cvCreateMat( size.height, size.width, CV_MAKETYPE(type, cn) )); 452 matrix = cvGetMat( image, &hdr ); 455 if( !reader->ReadData( matrix->data.ptr, matrix->step, iscolor )) 458 cvReleaseMat( &matrix ); 471 cvReleaseMat( &matrix ); 476 return load_as_matrix ? (void*)matrix : (void*)image;
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/external/skia/bench/ |
BitmapRectBench.cpp | 80 // want enough to create a scale matrix, but not enough to scare 81 // off our sniffer which tries to see if the matrix is "effectively"
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DashBench.cpp | 159 SkMatrix matrix; local 160 matrix.setScale(SkIntToScalar(100), SkIntToScalar(100)); 161 path->transform(matrix); 348 SkMatrix matrix; local 352 matrix.setIdentity(); 355 matrix.setRotate(90, cx, cy); 358 matrix.setRotate(45, cx, cy); 369 matrix.mapPoints(fPts, pts, 2);
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/external/skia/gm/ |
imagefiltersgraph.cpp | 70 SkScalar matrix[20] = { SK_Scalar1, 0, 0, 0, 0, local 75 SkAutoTUnref<SkColorFilter> matrixFilter(new SkColorMatrixFilter(matrix));
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