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  /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);
  /external/ceres-solver/include/ceres/internal/
eigen.h 43 typedef Eigen::Map<Vector> VectorRef;
79 VectorRef;
  /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);
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();
block_random_access_dense_matrix.cc 83 VectorRef(values_.get(), num_rows_ * num_rows_).setZero();
cgnr_linear_operator.h 99 VectorRef(y, n).array() += ConstVectorRef(D_, n).array().square() *
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);
normal_prior.cc 55 VectorRef r(residuals, num_residuals());
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();
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();
dense_normal_cholesky_solver.cc 99 VectorRef(x, num_cols) =
141 VectorRef(x, num_cols) =
dense_qr_solver.cc 114 VectorRef(x, num_cols) = rhs_.head(num_cols);
151 VectorRef(x, num_cols) = A->matrix().householderQr().solve(rhs_);
conditioned_cost_function.cc 119 VectorRef jacobian_row(jacobians[i] + r * parameter_block_size,
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);
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);
conditioned_cost_function_test.cc 85 VectorRef v2_vector(v2, kTestCostFunctionSize, 1);
low_rank_inverse_hessian.cc 92 VectorRef search_direction(y_ptr, num_parameters_);
sparse_normal_cholesky_solver.cc 116 VectorRef(x, num_cols).setZero();
153 VectorRef(x, Atb.rows()) = Atb;
195 VectorRef(x, num_cols).setZero();
block_jacobi_preconditioner.cc 127 VectorRef y_block(y + position, size);
block_random_access_sparse_matrix.cc 152 VectorRef(tsm_->mutable_values(),
levenberg_marquardt_strategy.cc 113 VectorRef(step, num_parameters) *= -1.0;
local_parameterization.cc 47 VectorRef(x_plus_delta, size_) =
schur_jacobi_preconditioner.cc 128 VectorRef(y, block_size) =
corrector_test.cc 152 VectorRef res(residuals, 3);
220 VectorRef res(residuals, 3);
conjugate_gradients_solver.cc 83 VectorRef xref(x, num_cols);

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