/external/ceres-solver/examples/ |
bal_problem.cc | 44 typedef Eigen::Map<Eigen::VectorXd> VectorRef; 200 VectorRef angle_axis_ref(angle_axis, 3); 212 VectorRef(center, 3) *= -1.0; 222 VectorRef(camera, 3) = angle_axis_ref; 229 VectorRef(camera + camera_block_size() - 6, 3) *= -1.0; 246 VectorRef point(points + 3 * i, 3); 262 VectorRef point(points + 3 * i, 3); 273 VectorRef(center, 3) = scale * (VectorRef(center, 3) - median);
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/external/ceres-solver/include/ceres/internal/ |
eigen.h | 43 typedef Eigen::Map<Vector> VectorRef; 79 VectorRef;
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/external/ceres-solver/internal/ceres/ |
schur_eliminator_test.cc | 82 VectorRef f(b.get(), J.rows()); 127 void EliminateSolveAndCompare(const VectorRef& diagonal, 201 ComputeReferenceSolution(VectorRef(zero.data(), A->num_cols())); 202 EliminateSolveAndCompare(VectorRef(zero.data(), A->num_cols()), true, 1e-14); 203 EliminateSolveAndCompare(VectorRef(zero.data(), A->num_cols()), false, 1e-14); 205 ComputeReferenceSolution(VectorRef(D.get(), A->num_cols())); 206 EliminateSolveAndCompare(VectorRef(D.get(), A->num_cols()), true, 1e-14); 207 EliminateSolveAndCompare(VectorRef(D.get(), A->num_cols()), false, 1e-14);
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normal_prior_test.cc | 78 (residuals - A * (VectorRef(x, num_cols) - b)).squaredNorm(); 117 (residuals - A * (VectorRef(x, num_cols) - b)).squaredNorm(); 123 (residuals - A * (VectorRef(x, num_cols) - b)).squaredNorm();
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block_random_access_dense_matrix.cc | 83 VectorRef(values_.get(), num_rows_ * num_rows_).setZero();
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cgnr_linear_operator.h | 99 VectorRef(y, n).array() += ConstVectorRef(D_, n).array().square() *
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implicit_schur_complement.cc | 131 VectorRef(y, num_cols()) = 135 VectorRef(y, num_cols()).setZero(); 189 VectorRef(y, num_cols).setZero(); 197 VectorRef(y + num_cols_e, num_cols_f) = ConstVectorRef(x, num_cols_f);
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normal_prior.cc | 55 VectorRef r(residuals, num_residuals());
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program_evaluator.h | 143 VectorRef(residuals, program_->NumResiduals()).setZero(); 154 VectorRef(evaluate_scratch_[i].gradient.get(), 251 VectorRef(gradient, num_parameters).setZero(); 256 VectorRef(gradient, num_parameters) += 257 VectorRef(evaluate_scratch_[i].gradient.get(), num_parameters); 299 VectorRef(gradient.get(), num_parameters).setZero();
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dense_sparse_matrix.cc | 88 VectorRef(y, num_rows()) += matrix() * ConstVectorRef(x, num_cols()); 92 VectorRef(y, num_cols()) += 97 VectorRef(x, num_cols()) = m_.colwise().squaredNorm();
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dense_normal_cholesky_solver.cc | 99 VectorRef(x, num_cols) = 141 VectorRef(x, num_cols) =
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dense_qr_solver.cc | 114 VectorRef(x, num_cols) = rhs_.head(num_cols); 151 VectorRef(x, num_cols) = A->matrix().householderQr().solve(rhs_);
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conditioned_cost_function.cc | 119 VectorRef jacobian_row(jacobians[i] + r * parameter_block_size,
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residual_block_test.cc | 121 VectorRef(residuals, 3).setConstant(0.0); 149 VectorRef(residuals, 3).setConstant(0.0); 260 VectorRef(residuals, 3).setConstant(0.0); 307 VectorRef(residuals, 3).setConstant(0.0);
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schur_complement_solver.cc | 134 VectorRef(solution, num_rows) = 142 VectorRef(solution, num_rows) = ConstVectorRef(rhs(), num_rows); 321 VectorRef(solution, num_rows) 322 = VectorRef(static_cast<double*>(cholmod_solution->x), num_rows); 354 VectorRef(solution, num_rows) = ConstVectorRef(rhs(), num_rows);
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conditioned_cost_function_test.cc | 85 VectorRef v2_vector(v2, kTestCostFunctionSize, 1);
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low_rank_inverse_hessian.cc | 92 VectorRef search_direction(y_ptr, num_parameters_);
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sparse_normal_cholesky_solver.cc | 116 VectorRef(x, num_cols).setZero(); 153 VectorRef(x, Atb.rows()) = Atb; 195 VectorRef(x, num_cols).setZero();
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block_jacobi_preconditioner.cc | 127 VectorRef y_block(y + position, size);
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block_random_access_sparse_matrix.cc | 152 VectorRef(tsm_->mutable_values(),
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levenberg_marquardt_strategy.cc | 113 VectorRef(step, num_parameters) *= -1.0;
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local_parameterization.cc | 47 VectorRef(x_plus_delta, size_) =
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schur_jacobi_preconditioner.cc | 128 VectorRef(y, block_size) =
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corrector_test.cc | 152 VectorRef res(residuals, 3); 220 VectorRef res(residuals, 3);
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conjugate_gradients_solver.cc | 83 VectorRef xref(x, num_cols);
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