/external/eigen/Eigen/src/Eigenvalues/ |
D | GeneralizedSelfAdjointEigenSolver.h | 106 GeneralizedSelfAdjointEigenSolver(const MatrixType& matA, const MatrixType& matB, 108 : Base(matA.cols()) 110 compute(matA, matB, options); 153 GeneralizedSelfAdjointEigenSolver& compute(const MatrixType& matA, const MatrixType& matB, 163 compute(const MatrixType& matA, const MatrixType& matB, int options) in compute() argument 165 eigen_assert(matA.cols()==matA.rows() && matB.rows()==matA.rows() && matB.cols()==matB.rows()); in compute() 184 MatrixType matC = matA.template selfadjointView<Lower>(); in compute() 197 MatrixType matC = matA.template selfadjointView<Lower>(); in compute() 210 MatrixType matC = matA.template selfadjointView<Lower>(); in compute()
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D | HessenbergDecomposition.h | 272 static void _compute(MatrixType& matA, CoeffVectorType& hCoeffs, VectorType& temp); 294 void HessenbergDecomposition<MatrixType>::_compute(MatrixType& matA, CoeffVectorType& hCoeffs, Vect… 296 eigen_assert(matA.rows()==matA.cols()); 297 Index n = matA.rows(); 305 matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); 306 matA.col(i).coeffRef(i+1) = beta; 313 matA.bottomRightCorner(remainingSize, remainingSize) 314 .applyHouseholderOnTheLeft(matA.col(i).tail(remainingSize-1), h, &temp.coeffRef(0)); 317 matA.rightCols(remainingSize) 318 ….applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1).conjugate(), numext::conj(h), &temp.…
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D | Tridiagonalization.h | 28 void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs); 347 void tridiagonalization_inplace(MatrixType& matA, CoeffVectorType& hCoeffs) 352 Index n = matA.rows(); 353 eigen_assert(n==matA.cols()); 361 matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta); 365 matA.col(i).coeffRef(i+1) = 1; 367 …hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template self… 368 * (conj(h) * matA.col(i).tail(remainingSize))); 370 …nj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.… 372 matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>() [all …]
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/external/eigen/doc/snippets/ |
D | TopicAliasing_mult1.cpp | 1 MatrixXf matA(2,2); variable 2 matA << 2, 0, 0, 2; 3 matA = matA * matA; 4 cout << matA;
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D | TopicAliasing_mult3.cpp | 1 MatrixXf matA(2,2); variable 2 matA << 2, 0, 0, 2; 3 matA.noalias() = matA * matA; 4 cout << matA;
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D | Tutorial_AdvancedInitialization_Block.cpp | 1 MatrixXf matA(2, 2); variable 2 matA << 1, 2, 3, 4; 4 matB << matA, matA/10, matA/10, matA;
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D | TopicAliasing_mult2.cpp | 1 MatrixXf matA(2,2), matB(2,2); variable 2 matA << 2, 0, 0, 2; 5 matB = matA * matA; 9 matB.noalias() = matA * matA;
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/external/eigen/doc/ |
D | TopicAliasing.dox | 158 Thus, if \c matA is a \b squared matrix, then the statement <tt>matA = matA * matA;</tt> is safe. 171 However, this comes at a price. When executing the expression <tt>matA = matA * matA</tt>, %Eigen e… 172 product in a temporary matrix which is assigned to \c matA after the computation. This is fine. But… 173 the same when the product is assigned to a different matrix (e.g., <tt>matB = matA * matA</tt>). In… 178 aliasing, as follows: <tt>matB.noalias() = matA * matA</tt>. This allows %Eigen to evaluate the mat… 179 <tt>matA * matA</tt> directly into \c matB.
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/external/neven/Embedded/common/src/b_TensorEm/ |
D | Int32Mat.h | 115 const int32* matA, 129 int32* matA,
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D | Int32Mat.c | 210 const int32* matA, in bts_Int32Mat_solve() argument 218 bbs_memcpy32( tmpMatA, matA, ( matWidthA * matWidthA ) * bbs_SIZEOF32( int32 ) ); in bts_Int32Mat_solve() 232 int32* matA, in bts_Int32Mat_solve2() argument 246 int32* matL = matA; in bts_Int32Mat_solve2()
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/external/skia/src/effects/ |
D | SkColorMatrix.cpp | 74 void SkColorMatrix::setConcat(const SkColorMatrix& matA, const SkColorMatrix& matB) { in setConcat() argument 75 set_concat(fMat.data(), matA.fMat.data(), matB.fMat.data()); in setConcat()
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/external/skqp/src/effects/ |
D | SkColorMatrix.cpp | 132 void SkColorMatrix::setConcat(const SkColorMatrix& matA, const SkColorMatrix& matB) { in setConcat() argument 133 SetConcat(fMat, matA.fMat, matB.fMat); in setConcat()
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/external/eigen/test/ |
D | cholesky.cpp | 353 MatrixType matA; in cholesky_bug241() local 354 matA << 1, 1, 1, 1; in cholesky_bug241() 357 VectorType vecX = matA.ldlt().solve(vecB); in cholesky_bug241() 358 VERIFY_IS_APPROX(matA * vecX, vecB); in cholesky_bug241()
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/external/eigen/blas/ |
D | level3_impl.h | 322 Matrix<Scalar,Dynamic,Dynamic,ColMajor> matA(size,size); in EIGEN_BLAS_FUNC() 325 matA.triangularView<Upper>() = matrix(a,size,size,*lda); in EIGEN_BLAS_FUNC() 326 matA.triangularView<Lower>() = matrix(a,size,size,*lda).transpose(); in EIGEN_BLAS_FUNC() 330 matA.triangularView<Lower>() = matrix(a,size,size,*lda); in EIGEN_BLAS_FUNC() 331 matA.triangularView<Upper>() = matrix(a,size,size,*lda).transpose(); in EIGEN_BLAS_FUNC() 334 matrix(c, *m, *n, *ldc) += alpha * matA * matrix(b, *m, *n, *ldb); in EIGEN_BLAS_FUNC() 336 matrix(c, *m, *n, *ldc) += alpha * matrix(b, *m, *n, *ldb) * matA; in EIGEN_BLAS_FUNC()
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/external/deqp/data/gles3/shaders/ |
D | constants.test | 784 const mat4x2 matA = mat4x2(2.0, 4.0, 8.0, 16.0, 32.0, 64.0, 128.0, 256.0); 789 mat4x2 result = matrixCompMult(matA, matB);
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/external/tensorflow/tensorflow/stream_executor/cuda/ |
D | cusparse_10_1.inc | 8167 const cusparseSpMatDescr_t matA, const cusparseDnVecDescr_t vecX, 8176 return func_ptr(handle, opA, alpha, matA, vecX, beta, vecY, computeType, alg, 8182 const cusparseSpMatDescr_t matA, const cusparseDnVecDescr_t vecX, 8191 return func_ptr(handle, opA, alpha, matA, vecX, beta, vecY, computeType, alg, 8197 const void *alpha, const cusparseSpMatDescr_t matA, 8207 return func_ptr(handle, opA, opB, alpha, matA, matB, beta, matC, computeType, 8213 const void *alpha, const cusparseSpMatDescr_t matA, 8223 return func_ptr(handle, opA, opB, alpha, matA, matB, beta, matC, computeType, 8229 const void *alpha, const cusparseDnMatDescr_t matA, 8238 return func_ptr(handle, opA, opB, alpha, matA, matB, beta, matC, computeType, [all …]
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