| /external/eigen/doc/snippets/ |
| MatrixBase_cwiseProduct.cpp | 2 Matrix3i c = a.cwiseProduct(b);
|
| /external/eigen/blas/ |
| double.cpp | 26 if(*incx==1 && *incy==1) return (vector(x,*n).cast<double>().cwiseProduct(vector(y,*n).cast<double>())).sum();
27 else if(*incx>0 && *incy>0) return (vector(x,*n,*incx).cast<double>().cwiseProduct(vector(y,*n,*incy).cast<double>())).sum();
28 else if(*incx<0 && *incy>0) return (vector(x,*n,-*incx).reverse().cast<double>().cwiseProduct(vector(y,*n,*incy).cast<double>())).sum();
29 else if(*incx>0 && *incy<0) return (vector(x,*n,*incx).cast<double>().cwiseProduct(vector(y,*n,-*incy).reverse().cast<double>())).sum();
30 else if(*incx<0 && *incy<0) return (vector(x,*n,-*incx).reverse().cast<double>().cwiseProduct(vector(y,*n,-*incy).reverse().cast<double>())).sum();
|
| level1_real_impl.h | 36 if(*incx==1 && *incy==1) return (vector(x,*n).cwiseProduct(vector(y,*n))).sum();
37 else if(*incx>0 && *incy>0) return (vector(x,*n,*incx).cwiseProduct(vector(y,*n,*incy))).sum();
38 else if(*incx<0 && *incy>0) return (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,*incy))).sum();
39 else if(*incx>0 && *incy<0) return (vector(x,*n,*incx).cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
40 else if(*incx<0 && *incy<0) return (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
|
| level1_cplx_impl.h | 69 if(*incx==1 && *incy==1) *res = (vector(x,*n).cwiseProduct(vector(y,*n))).sum();
70 else if(*incx>0 && *incy>0) *res = (vector(x,*n,*incx).cwiseProduct(vector(y,*n,*incy))).sum();
71 else if(*incx<0 && *incy>0) *res = (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,*incy))).sum();
72 else if(*incx>0 && *incy<0) *res = (vector(x,*n,*incx).cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
73 else if(*incx<0 && *incy<0) *res = (vector(x,*n,-*incx).reverse().cwiseProduct(vector(y,*n,-*incy).reverse())).sum();
|
| BandTriangularSolver.h | 48 .cwiseProduct(other.col(col).segment(IsLower ? i-actual_k : i+1,actual_k)).sum();
|
| PackedTriangularMatrixVector.h | 69 res[i] += alpha * (ConjLhsType(LhsMap(lhs+s,r)).cwiseProduct(ConjRhsType(RhsMap(rhs+(IsLower ? 0 : s+i),r)))).sum();
|
| PackedTriangularSolverVector.h | 38 .cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+(IsLower ? 0 : i+1),pi))).sum();
|
| /external/eigen/test/ |
| product_small.cpp | 21 matAstatic.cwiseProduct(matBstatic.transpose()).sum() );
28 matAdynamic.cwiseProduct(matBdynamic.transpose()).sum() );
|
| linearstructure.cpp | 66 VERIFY_IS_APPROX(m1.cwiseProduct(m1.block(0,0,rows,cols)), m1.cwiseProduct(m1));
|
| vectorization_logic.cpp | 117 VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()),
127 VERIFY(test_assign(Vector1(),Vector1().cwiseProduct(Vector1()),
|
| product.h | 141 VERIFY_IS_APPROX(x, square2.row(c).transpose().cwiseProduct(square2.col(c2)).sum());
|
| /external/eigen/doc/examples/ |
| Tutorial_ArrayClass_interop_matrix.cpp | 22 result = m.cwiseProduct(n);
23 cout << "-- With cwiseProduct: --" << endl << result << endl << endl;
|
| /external/eigen/unsupported/Eigen/src/LevenbergMarquardt/ |
| LMpar.h | 73 wa2 = diag.cwiseProduct(x);
86 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2)/dxnorm;
120 wa2 = diag.cwiseProduct(x);
132 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2/dxnorm);
|
| LMonestep.h | 61 xnorm = m_diag.cwiseProduct(x).stableNorm();
97 pnorm = m_diag.cwiseProduct(m_wa1).stableNorm();
148 m_wa2 = m_diag.cwiseProduct(x);
|
| /external/eigen/unsupported/Eigen/src/NonLinearOptimization/ |
| lmpar.h | 62 wa2 = diag.cwiseProduct(x);
119 wa2 = diag.cwiseProduct(x);
210 wa2 = diag.cwiseProduct(x);
223 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2)/dxnorm;
258 wa2 = diag.cwiseProduct(x);
270 wa1 = qr.colsPermutation().inverse() * diag.cwiseProduct(wa2/dxnorm);
|
| HybridNonLinearSolver.h | 213 xnorm = diag.cwiseProduct(x).stableNorm();
242 pnorm = diag.cwiseProduct(wa1).stableNorm();
290 wa2 = diag.cwiseProduct(x);
326 wa1 = diag.cwiseProduct( diag.cwiseProduct(wa1)/pnorm );
456 xnorm = diag.cwiseProduct(x).stableNorm();
485 pnorm = diag.cwiseProduct(wa1).stableNorm();
533 wa2 = diag.cwiseProduct(x);
569 wa1 = diag.cwiseProduct( diag.cwiseProduct(wa1)/pnorm )
[all...] |
| dogleg.h | 47 qnorm = diag.cwiseProduct(x).stableNorm();
|
| LevenbergMarquardt.h | 238 xnorm = diag.cwiseProduct(x).stableNorm();
273 pnorm = diag.cwiseProduct(wa1).stableNorm();
324 wa2 = diag.cwiseProduct(x);
494 xnorm = diag.cwiseProduct(x).stableNorm();
523 pnorm = diag.cwiseProduct(wa1).stableNorm();
574 wa2 = diag.cwiseProduct(x);
|
| /external/eigen/Eigen/src/plugins/ |
| MatrixCwiseBinaryOps.h | 22 cwiseProduct(const EIGEN_CURRENT_STORAGE_BASE_CLASS<OtherDerived> &other) const
119 * \sa class CwiseBinaryOp, cwiseProduct(), cwiseInverse()
|
| /external/eigen/Eigen/src/SparseCore/ |
| SparseDiagonalProduct.h | 137 : Base(expr.rhs().innerVector(outer) .cwiseProduct(expr.lhs().diagonal()), 0), m_outer(outer)
175 : Base(expr.lhs().innerVector(outer) .cwiseProduct(expr.rhs().diagonal().transpose()), 0), m_outer(outer)
|
| /external/eigen/Eigen/src/LU/ |
| Inverse.h | 155 const Scalar det = (cofactors_col0.cwiseProduct(matrix.col(0))).sum();
178 determinant = (cofactors_col0.cwiseProduct(matrix.col(0))).sum();
235 result /= (matrix.col(0).cwiseProduct(result.row(0).transpose())).sum();
|
| /external/eigen/Eigen/src/Core/products/ |
| CoeffBasedProduct.h | 319 res = lhs.row(row).transpose().cwiseProduct(rhs.col(col)).sum();
331 res = lhs.transpose().cwiseProduct(rhs.col(col)).sum();
341 res = lhs.row(row).transpose().cwiseProduct(rhs).sum();
351 res = lhs.transpose().cwiseProduct(rhs).sum();
|
| TriangularSolverVector.h | 74 rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
|
| /external/ceres-solver/internal/ceres/ |
| schur_eliminator_test.cc | 84 Matrix H = (D.cwiseProduct(D)).asDiagonal();
|
| /external/eigen/Eigen/src/Geometry/ |
| AngleAxis.h | 226 res.diagonal() = (cos1_axis.cwiseProduct(m_axis)).array() + c;
|
