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  /external/eigen/doc/snippets/
TopicAliasing_mult2.cpp 1 MatrixXf matA(2,2), matB(2,2);
5 matB = matA * matA;
6 cout << matB << endl << endl;
9 matB.noalias() = matA * matA;
10 cout << matB;
Tutorial_AdvancedInitialization_Block.cpp 3 MatrixXf matB(4, 4);
4 matB << matA, matA/10, matA/10, matA;
5 std::cout << matB << std::endl;
  /external/eigen/Eigen/src/Eigenvalues/
GeneralizedSelfAdjointEigenSolver.h 85 * \param[in] matB Positive-definite matrix in matrix pencil.
93 * selfadjoint matrix \f$ A \f$ and \a matB the positive definite matrix
107 GeneralizedSelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB,
111 compute(matA, matB, options);
118 * \param[in] matB Positive-definite matrix in matrix pencil.
130 * with \a matA the selfadjoint matrix \f$ A \f$ and \a matB the positive definite
154 GeneralizedSelfAdjointEigenSolver& compute(const MatrixType& matA, const MatrixType& matB,
164 compute(const MatrixType& matA, const MatrixType& matB, int options)
166 eigen_assert(matA.cols()==matA.rows() && matB.rows()==matA.rows() && matB.cols()==matB.rows())
    [all...]
SelfAdjointEigenSolver.h 333 SelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = true)
339 static_cast<GeneralizedSelfAdjointEigenSolver<MatrixType>*>(this)->compute(matA, matB, computeEigenvectors ? ComputeEigenvectors : EigenvaluesOnly);
347 void compute(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = true)
349 compute(matA, matB, computeEigenvectors ? ComputeEigenvectors : EigenvaluesOnly);
  /external/eigen/test/
cholesky.cpp 77 MatrixType matB = MatrixType::Random(rows,cols), matX(rows,cols);
98 matX = chollo.solve(matB);
99 VERIFY_IS_APPROX(symm * matX, matB);
106 matX = cholup.solve(matB);
107 VERIFY_IS_APPROX(symm * matX, matB);
135 matX = ldltlo.solve(matB);
136 VERIFY_IS_APPROX(symm * matX, matB);
142 matX = ldltup.solve(matB);
143 VERIFY_IS_APPROX(symm * matX, matB);
155 matX = matB;
    [all...]
sparse_solvers.cpp 80 SparseMatrix<Scalar> matB(rows, rows);
85 initSparse<Scalar>(density, refMatB, matB);
87 m2.template triangularView<Lower>().solveInPlace(matB);
88 VERIFY_IS_APPROX(matB.toDense(), refMatB);
92 initSparse<Scalar>(density, refMatB, matB);
94 m2.template triangularView<Upper>().solveInPlace(matB);
95 VERIFY_IS_APPROX(matB, refMatB);
  /external/eigen/test/eigen2/
eigen2_cholesky.cpp 34 MatrixType matB = MatrixType::Random(rows,cols), matX(rows,cols);
75 ldlt.solve(matB, &matX);
76 VERIFY_IS_APPROX(symm * matX, matB);
85 chol.solve(matB, &matX);
86 VERIFY_IS_APPROX(symm * matX, matB);
  /frameworks/base/graphics/java/android/graphics/
ColorMatrix.java 151 * as applying matB and then applying matA. It is legal for either matA or
152 * matB to be the same colormatrix as this.
154 public void setConcat(ColorMatrix matA, ColorMatrix matB) {
157 if (matA == this || matB == this) {
165 final float[] b = matB.mArray;
  /external/skia/legacy/src/utils/
SkColorMatrix.cpp 71 const SkColorMatrix& matB) {
75 if (&matA == this || &matB == this) {
80 const SkScalar* b = matB.fMat;
  /external/skia/src/effects/
SkColorMatrix.cpp 72 const SkColorMatrix& matB) {
76 if (&matA == this || &matB == this) {
81 const SkScalar* b = matB.fMat;
  /external/opencv/cvaux/src/
cvepilines.cpp     [all...]
  /prebuilts/sdk/10/
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  /prebuilts/sdk/12/
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  /prebuilts/sdk/14/
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  /prebuilts/sdk/15/
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  /prebuilts/sdk/17/
android.jar 
  /prebuilts/sdk/18/
android.jar 
  /prebuilts/sdk/4/
android.jar 
  /prebuilts/sdk/6/
android.jar 

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