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Searched refs:matB (Results 1 – 11 of 11) sorted by relevance

/external/eigen/test/
Dcholesky.cpp77 MatrixType matB = MatrixType::Random(rows,cols), matX(rows,cols); in cholesky() local
98 matX = chollo.solve(matB); in cholesky()
99 VERIFY_IS_APPROX(symm * matX, matB); in cholesky()
106 matX = cholup.solve(matB); in cholesky()
107 VERIFY_IS_APPROX(symm * matX, matB); in cholesky()
135 matX = ldltlo.solve(matB); in cholesky()
136 VERIFY_IS_APPROX(symm * matX, matB); in cholesky()
142 matX = ldltup.solve(matB); in cholesky()
143 VERIFY_IS_APPROX(symm * matX, matB); in cholesky()
155 matX = matB; in cholesky()
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Dsparse_solvers.cpp80 SparseMatrix<Scalar> matB(rows, rows); in sparse_solvers() local
85 initSparse<Scalar>(density, refMatB, matB); in sparse_solvers()
87 m2.template triangularView<Lower>().solveInPlace(matB); in sparse_solvers()
88 VERIFY_IS_APPROX(matB.toDense(), refMatB); in sparse_solvers()
92 initSparse<Scalar>(density, refMatB, matB); in sparse_solvers()
94 m2.template triangularView<Upper>().solveInPlace(matB); in sparse_solvers()
95 VERIFY_IS_APPROX(matB, refMatB); in sparse_solvers()
/external/eigen/doc/snippets/
DTopicAliasing_mult2.cpp1 MatrixXf matA(2,2), matB(2,2); variable
5 matB = matA * matA;
6 cout << matB << endl << endl;
9 matB.noalias() = matA * matA;
10 cout << matB;
DTutorial_AdvancedInitialization_Block.cpp3 MatrixXf matB(4, 4); variable
4 matB << matA, matA/10, matA/10, matA;
5 std::cout << matB << std::endl;
/external/eigen/Eigen/src/Eigenvalues/
DGeneralizedSelfAdjointEigenSolver.h107 GeneralizedSelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB,
111 compute(matA, matB, options);
154 GeneralizedSelfAdjointEigenSolver& compute(const MatrixType& matA, const MatrixType& matB,
164 compute(const MatrixType& matA, const MatrixType& matB, int options) in compute() argument
166 eigen_assert(matA.cols()==matA.rows() && matB.rows()==matA.rows() && matB.cols()==matB.rows()); in compute()
176 LLT<MatrixType> cholB(matB); in compute()
DSelfAdjointEigenSolver.h333 …SelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = …
339 …static_cast<GeneralizedSelfAdjointEigenSolver<MatrixType>*>(this)->compute(matA, matB, computeEige…
347 void compute(const MatrixType& matA, const MatrixType& matB, bool computeEigenvectors = true)
349 compute(matA, matB, computeEigenvectors ? ComputeEigenvectors : EigenvaluesOnly);
/external/eigen/test/eigen2/
Deigen2_cholesky.cpp34 MatrixType matB = MatrixType::Random(rows,cols), matX(rows,cols); in cholesky() local
75 ldlt.solve(matB, &matX); in cholesky()
76 VERIFY_IS_APPROX(symm * matX, matB); in cholesky()
85 chol.solve(matB, &matX); in cholesky()
86 VERIFY_IS_APPROX(symm * matX, matB); in cholesky()
/external/skia/src/effects/
DSkColorMatrix.cpp72 const SkColorMatrix& matB) { in setConcat() argument
76 if (&matA == this || &matB == this) { in setConcat()
81 const SkScalar* b = matB.fMat; in setConcat()
/external/skia/legacy/src/utils/
DSkColorMatrix.cpp71 const SkColorMatrix& matB) { in setConcat() argument
75 if (&matA == this || &matB == this) { in setConcat()
80 const SkScalar* b = matB.fMat; in setConcat()
/external/eigen/doc/
DI11_Aliasing.dox171 the same when the product is assigned to a different matrix (e.g., <tt>matB = matA * matA</tt>). In…
172 it is more efficient to evaluate the product directly into \c matB instead of evaluating it first i…
173 temporary matrix and copying that matrix to \c matB.
176 aliasing, as follows: <tt>matB.noalias() = matA * matA</tt>. This allows Eigen to evaluate the matr…
177 <tt>matA * matA</tt> directly into \c matB.
/external/opencv/cvaux/src/
Dcvepilines.cpp2427 CvMat matB = cvMat( 8, 1, CV_64F, b ); in icvComputePerspectiveCoeffs() local
2431 CV_CALL( cvMatMulAdd( &matInvA, &matB, 0, &matX )); in icvComputePerspectiveCoeffs()
2567 CvMat matB = cvMat( 8, 1, CV_64F, b ); in cvInitPerspectiveTransform() local
2571 CV_CALL( cvMatMulAdd( &matInvA, &matB, 0, &matX )); in cvInitPerspectiveTransform()