| /external/ceres-solver/internal/ceres/ |
| evaluator_test_utils.cc | 52 ConstVectorRef expected_residuals_vector(expected_residuals,
54 ConstVectorRef actual_residuals_vector(actual_residuals,
63 ConstVectorRef expected_gradient_vector(expected_gradient,
65 ConstVectorRef actual_gradient_vector(actual_gradient,
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| cgnr_linear_operator.h | 99 VectorRef(y, n).array() += ConstVectorRef(D_, n).array().square() *
100 ConstVectorRef(x, n).array();
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| implicit_schur_complement.cc | 130 ConstVectorRef Dref(D_ + A_->num_cols_e(), num_cols());
133 ConstVectorRef(x, num_cols()).array()).matrix();
158 ConstVectorRef d(D + row_block_pos, row_block_size);
182 tmp_rows_ = ConstVectorRef(b_, num_rows) - tmp_rows_;
197 VectorRef(y + num_cols_e, num_cols_f) = ConstVectorRef(x, num_cols_f);
220 tmp_rows_ = ConstVectorRef(b_, A_->num_rows()) - tmp_rows_;
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| parameter_block.h | 177 << ConstVectorRef(state_, Size()).transpose();
188 VectorRef(x_plus_delta, size_) = ConstVectorRef(x, size_) +
189 ConstVectorRef(delta, size_);
273 "for x: " << ConstVectorRef(state_, Size()).transpose();
280 << ConstVectorRef(state_, Size()).transpose()
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| dense_normal_cholesky_solver.cc | 88 Vector rhs = Aref.transpose() * ConstVectorRef(b, num_rows);
91 ConstVectorRef D(per_solve_options.D, num_cols);
142 A->matrix().transpose() * ConstVectorRef(b, A->num_rows());
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| dense_sparse_matrix.cc | 88 VectorRef(y, num_rows()) += matrix() * ConstVectorRef(x, num_cols());
93 matrix().transpose() * ConstVectorRef(x, num_rows());
101 m_ *= ConstVectorRef(scale, num_cols()).asDiagonal();
119 ConstVectorRef(d, m_.cols()).asDiagonal();
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| normal_prior.cc | 54 ConstVectorRef p(parameters[0], parameter_block_sizes()[0]);
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| block_jacobi_preconditioner.cc | 110 ConstVectorRef(D + position, size).array().square().matrix();
126 ConstVectorRef x_block(x + position, size);
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| dense_qr_solver.cc | 93 rhs_.head(num_rows) = ConstVectorRef(b, num_rows);
147 rhs_.head(num_rows) = ConstVectorRef(b, num_rows);
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| local_parameterization.cc | 48 ConstVectorRef(x, size_) + ConstVectorRef(delta, size_);
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| low_rank_inverse_hessian.cc | 91 ConstVectorRef gradient(x_ptr, num_parameters_);
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| schur_complement_solver.cc | 138 .solve(ConstVectorRef(rhs(), num_rows));
142 VectorRef(solution, num_rows) = ConstVectorRef(rhs(), num_rows);
354 VectorRef(solution, num_rows) = ConstVectorRef(rhs(), num_rows);
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| schur_jacobi_preconditioner.cc | 132 .solve(ConstVectorRef(x, block_size));
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| linear_least_squares_problems.cc | 519 << ConstVectorRef(D, A->num_cols());
523 LOG(INFO) << "b: \n" << ConstVectorRef(b, A->num_rows());
527 LOG(INFO) << "x: \n" << ConstVectorRef(x, A->num_cols());
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| conjugate_gradients_solver.cc | 84 ConstVectorRef bref(b, num_cols);
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| small_blas.h | 306 const typename EigenTypes<kColA>::ConstVectorRef bref(b, num_col_a);
357 const typename EigenTypes<kRowA>::ConstVectorRef bref(b, num_row_a);
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| schur_eliminator_impl.h | 194 typename EigenTypes<kFBlockSize>::ConstVectorRef
237 const typename EigenTypes<kEBlockSize>::ConstVectorRef
319 const typename EigenTypes<kEBlockSize>::ConstVectorRef
335 typename EigenTypes<kRowBlockSize>::ConstVectorRef
388 typename EigenTypes<kRowBlockSize>::ConstVectorRef
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| block_sparse_matrix.cc | 157 m *= ConstVectorRef(scale + col_block_pos, col_block_size).asDiagonal();
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| problem_test.cc | 811 ConstVectorRef(parameters[j], kNumResiduals)).asDiagonal();
[all...] |
| rotation_test.cc | 853 VectorRef(result2, 3) = ConstMatrixRef(R, 3, 3)* ConstVectorRef(p, 3);
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| /external/ceres-solver/include/ceres/internal/ |
| eigen.h | 45 typedef Eigen::Map<const Vector> ConstVectorRef;
88 ConstVectorRef;
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| /external/ceres-solver/examples/ |
| bal_problem.cc | 45 typedef Eigen::Map<const Eigen::VectorXd> ConstVectorRef;
204 angle_axis_ref = ConstVectorRef(camera, 3);
218 ConstVectorRef angle_axis_ref(angle_axis, 3);
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