| /external/eigen/blas/ |
| D | double.cpp | 26 …if(*incx==1 && *incy==1) return (make_vector(x,*n).cast<double>().cwiseProduct(make_vector(y,*n… in BLASFUNC()
27 …else if(*incx>0 && *incy>0) return (make_vector(x,*n,*incx).cast<double>().cwiseProduct(make_vecto… in BLASFUNC()
28 …&& *incy>0) return (make_vector(x,*n,-*incx).reverse().cast<double>().cwiseProduct(make_vector(y,*… in BLASFUNC()
29 …else if(*incx>0 && *incy<0) return (make_vector(x,*n,*incx).cast<double>().cwiseProduct(make_vecto… in BLASFUNC()
30 …&& *incy<0) return (make_vector(x,*n,-*incx).reverse().cast<double>().cwiseProduct(make_vector(y,*… in BLASFUNC()
|
| D | level1_real_impl.h | 36 if(*incx==1 && *incy==1) return (make_vector(x,*n).cwiseProduct(make_vector(y,*n))).sum(); in EIGEN_BLAS_FUNC()
37 …else if(*incx>0 && *incy>0) return (make_vector(x,*n,*incx).cwiseProduct(make_vector(y,*n,*incy)))… in EIGEN_BLAS_FUNC()
38 …else if(*incx<0 && *incy>0) return (make_vector(x,*n,-*incx).reverse().cwiseProduct(make_vector(y,… in EIGEN_BLAS_FUNC()
39 …else if(*incx>0 && *incy<0) return (make_vector(x,*n,*incx).cwiseProduct(make_vector(y,*n,-*incy).… in EIGEN_BLAS_FUNC()
40 …else if(*incx<0 && *incy<0) return (make_vector(x,*n,-*incx).reverse().cwiseProduct(make_vector(y,… in EIGEN_BLAS_FUNC()
|
| D | level1_cplx_impl.h | 76 if(*incx==1 && *incy==1) *res = (make_vector(x,*n).cwiseProduct(make_vector(y,*n))).sum();
77 …else if(*incx>0 && *incy>0) *res = (make_vector(x,*n,*incx).cwiseProduct(make_vector(y,*n,*incy)))…
78 …else if(*incx<0 && *incy>0) *res = (make_vector(x,*n,-*incx).reverse().cwiseProduct(make_vector(y,…
79 …else if(*incx>0 && *incy<0) *res = (make_vector(x,*n,*incx).cwiseProduct(make_vector(y,*n,-*incy).…
80 …else if(*incx<0 && *incy<0) *res = (make_vector(x,*n,-*incx).reverse().cwiseProduct(make_vector(y,…
|
| D | PackedTriangularSolverVector.h | 38 .cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+(IsLower ? 0 : i+1),pi))).sum();
|
| D | PackedTriangularMatrixVector.h | 69 …res[i] += alpha * (ConjLhsType(LhsMap(lhs+s,r)).cwiseProduct(ConjRhsType(RhsMap(rhs+(IsLower ? 0 :…
|
| D | BandTriangularSolver.h | 48 … .cwiseProduct(other.col(col).segment(IsLower ? i-actual_k : i+1,actual_k)).sum();
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| D | HybridNonLinearSolver.h | 213 xnorm = diag.cwiseProduct(x).stableNorm(); in solveOneStep()
242 pnorm = diag.cwiseProduct(wa1).stableNorm(); in solveOneStep()
290 wa2 = diag.cwiseProduct(x); in solveOneStep()
326 wa1 = diag.cwiseProduct( diag.cwiseProduct(wa1)/pnorm ); in solveOneStep()
456 xnorm = diag.cwiseProduct(x).stableNorm(); in solveNumericalDiffOneStep()
485 pnorm = diag.cwiseProduct(wa1).stableNorm(); in solveNumericalDiffOneStep()
533 wa2 = diag.cwiseProduct(x); in solveNumericalDiffOneStep()
569 wa1 = diag.cwiseProduct( diag.cwiseProduct(wa1)/pnorm ); in solveNumericalDiffOneStep()
|
| D | lmpar.h | 62 wa2 = diag.cwiseProduct(x); in lmpar()
119 wa2 = diag.cwiseProduct(x); in lmpar()
210 wa2 = diag.cwiseProduct(x); in lmpar2()
223 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2)/dxnorm; in lmpar2()
258 wa2 = diag.cwiseProduct(x); in lmpar2()
270 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2/dxnorm); in lmpar2()
|
| D | LevenbergMarquardt.h | 245 xnorm = diag.cwiseProduct(x).stableNorm(); in minimizeOneStep()
280 pnorm = diag.cwiseProduct(wa1).stableNorm(); in minimizeOneStep()
331 wa2 = diag.cwiseProduct(x); in minimizeOneStep()
501 xnorm = diag.cwiseProduct(x).stableNorm(); in minimizeOptimumStorageOneStep()
530 pnorm = diag.cwiseProduct(wa1).stableNorm(); in minimizeOptimumStorageOneStep()
581 wa2 = diag.cwiseProduct(x); in minimizeOptimumStorageOneStep()
|
| D | dogleg.h | 47 qnorm = diag.cwiseProduct(x).stableNorm(); in dogleg()
|
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| D | LMpar.h | 73 wa2 = diag.cwiseProduct(x); in lmpar2()
86 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2)/dxnorm; in lmpar2()
120 wa2 = diag.cwiseProduct(x); in lmpar2()
132 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2/dxnorm); in lmpar2()
|
| D | LMonestep.h | 61 xnorm = m_diag.cwiseProduct(x).stableNorm(); in minimizeOneStep()
97 pnorm = m_diag.cwiseProduct(m_wa1).stableNorm(); in minimizeOneStep()
148 m_wa2 = m_diag.cwiseProduct(x); in minimizeOneStep()
|
| /external/eigen/doc/snippets/ |
| D | MatrixBase_cwiseProduct.cpp | 2 Matrix3i c = a.cwiseProduct(b);
|
| /external/eigen/test/ |
| D | vectorization_logic.cpp | 139 VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()), in run()
149 VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()), in run()
185 VERIFY(test_assign(Matrix3(),Matrix3().cwiseProduct(Matrix3()), in run()
304 VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()), in run()
314 VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()), in run()
|
| D | sparse_basic.cpp | 169 VERIFY_IS_APPROX(m3.cwiseProduct(m1+m2), refM3.cwiseProduct(refM1+refM2)); in sparse_basic()
192 VERIFY_IS_APPROX(m3.cwiseProduct(refM4), refM3.cwiseProduct(refM4)); in sparse_basic()
194 VERIFY_IS_APPROX(refM4.cwiseProduct(m3), refM4.cwiseProduct(refM3)); in sparse_basic()
203 …IFY_IS_APPROX((RealScalar(0.5)*refM4 + m3.cwiseProduct(m3)).eval(), RealScalar(0.5)*refM4 + refM3.… in sparse_basic()
|
| D | linearstructure.cpp | 71 VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), m1.cwiseProduct(m1)); in linearStructure()
|
| D | product_small.cpp | 23 matAstatic.cwiseProduct(matBstatic.transpose()).sum() ); in product1x1()
30 matAdynamic.cwiseProduct(matBdynamic.transpose()).sum() ); in product1x1()
|
| /external/eigen/doc/examples/ |
| D | Tutorial_ArrayClass_interop_matrix.cpp | 22 result = m.cwiseProduct(n); in main()
|
| /external/eigen/Eigen/src/LU/ |
| D | InverseImpl.h | 166 const Scalar det = (cofactors_col0.cwiseProduct(matrix.col(0))).sum();
190 determinant = (cofactors_col0.cwiseProduct(matrix.col(0))).sum();
250 result /= (matrix.col(0).cwiseProduct(result.row(0).transpose())).sum();
|
| /external/eigen/Eigen/src/plugins/ |
| D | MatrixCwiseBinaryOps.h | 23 cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const in EIGEN_CWISE_BINARY_RETURN_TYPE()
|
| /external/eigen/Eigen/src/Eigenvalues/ |
| D | GeneralizedEigenSolver.h | 350 …v.coeffRef(j) = -v.segment(st,sz).transpose().cwiseProduct(beta*mS.block(j,st,1,sz) - alpha*mT.blo… in compute()
399 …cv.coeffRef(j) = cv.segment(st,sz).transpose().cwiseProduct(beta*mS.block(j,st,1,sz) - alpha*mT.b… in compute()
|
| /external/eigen/Eigen/src/Core/ |
| D | MatrixBase.h | 448 cwiseProduct(const SparseMatrixBase<OtherDerived> &other) const in cwiseProduct() function
450 return other.cwiseProduct(derived()); in cwiseProduct()
|
| /external/eigen/Eigen/src/Core/products/ |
| D | TriangularSolverVector.h | 78 …rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1…
|
| /external/eigen/Eigen/src/Geometry/ |
| D | AngleAxis.h | 240 res.diagonal() = (cos1_axis.cwiseProduct(m_axis)).array() + c;
|
| /external/eigen/doc/ |
| D | TutorialArrayClass.dox | 160 …er of fact, this usage case is so common that Eigen provides a \link MatrixBase::cwiseProduct const
161 .cwiseProduct(.) \endlink method for matrices to compute the coefficient-wise product. This is also…
|