| /external/chromium_org/third_party/WebKit/Source/core/animation/ |
| AnimatableValueTestHelper.cpp | 112 TransformationMatrix matrix; local
113 op->apply(matrix, FloatSize(1.0, 1.0));
116 if (matrix.isAffine()) {
117 *os << matrix.a();
118 *os << " " << matrix.b();
119 *os << " " << matrix.c();
120 *os << " " << matrix.d();
121 *os << " " << matrix.e();
122 *os << " " << matrix.f();
124 *os << matrix.m11()
[all...] |
| /external/chromium_org/third_party/skia/src/effects/ |
| SkMatrixImageFilter.cpp | 63 SkMatrix matrix; local
64 if (!ctx.ctm().invert(&matrix)) {
67 matrix.postConcat(fTransform);
68 matrix.postConcat(ctx.ctm());
69 matrix.mapRect(&dstRect, srcRect);
79 canvas.concat(matrix);
97 SkMatrix matrix; local
98 matrix.setTranslate(-bounds.x(), -bounds.y());
99 matrix.postConcat(fTransform);
100 matrix.postTranslate(bounds.x(), bounds.y())
110 SkMatrix matrix; local
[all...] |
| /external/eigen/Eigen/src/Geometry/ |
| RotationBase.h | 36 /** corresponding linear transformation matrix type */
37 typedef Matrix<Scalar,Dim,Dim> RotationMatrixType;
38 typedef Matrix<Scalar,Dim,1> VectorType;
44 /** \returns an equivalent rotation matrix */
47 /** \returns an equivalent rotation matrix
50 inline RotationMatrixType matrix() const { return derived().toRotationMatrix(); } function in class:Eigen::RotationBase
65 * - a DimxDim linear transformation matrix
66 * - a DimxDim diagonal matrix (axis aligned scaling)
99 // implementation of the generic product rotation * matrix
104 typedef Matrix<typename RotationDerived::Scalar,Dim,Dim> ReturnType
[all...] |
| /external/eigen/Eigen/src/LU/ |
| Determinant.h | 19 (const MatrixBase<Derived>& matrix, int a, int b, int c)
21 return matrix.coeff(0,a)
22 * (matrix.coeff(1,b) * matrix.coeff(2,c) - matrix.coeff(1,c) * matrix.coeff(2,b));
27 (const MatrixBase<Derived>& matrix, int j, int k, int m, int n)
29 return (matrix.coeff(j,0) * matrix.coeff(k,1) - matrix.coeff(k,0) * matrix.coeff(j,1)
[all...] |
| /external/eigen/bench/ |
| benchmark.cpp | 24 Matrix<SCALAR,MATSIZE,MATSIZE> I = Matrix<SCALAR,MATSIZE,MATSIZE>::Ones();
25 Matrix<SCALAR,MATSIZE,MATSIZE> m;
34 m = Matrix<SCALAR,MATSIZE,MATSIZE>::Ones() + 0.00005 * (m + (m*m));
|
| /external/eigen/doc/examples/ |
| tut_matrix_resize_fixed_size.cpp | 10 std::cout << "The matrix m is of size "
|
| /external/eigen/doc/snippets/ |
| ComplexEigenSolver_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
|
| ComplexEigenSolver_eigenvectors.cpp | 3 cout << "The first eigenvector of the 3x3 matrix of ones is:"
|
| DirectionWise_replicate.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| EigenSolver_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
|
| EigenSolver_eigenvectors.cpp | 3 cout << "The first eigenvector of the 3x3 matrix of ones is:"
|
| MatrixBase_adjoint.cpp | 2 cout << "Here is the 2x2 complex matrix m:" << endl << m << endl;
|
| MatrixBase_diagonal.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| MatrixBase_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl;
|
| MatrixBase_prod.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| MatrixBase_replicate.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| PartialRedux_maxCoeff.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| PartialRedux_minCoeff.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| PartialRedux_norm.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| PartialRedux_prod.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| PartialRedux_squaredNorm.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| PartialRedux_sum.cpp | 2 cout << "Here is the matrix m:" << endl << m << endl;
|
| SelfAdjointEigenSolver_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:"
|
| SelfAdjointEigenSolver_eigenvectors.cpp | 3 cout << "The first eigenvector of the 3x3 matrix of ones is:"
|
| SelfAdjointView_eigenvalues.cpp | 3 cout << "The eigenvalues of the 3x3 matrix of ones are:" << endl << eivals << endl;
|
