| // Ceres Solver - A fast non-linear least squares minimizer | 
 | // Copyright 2023 Google Inc. All rights reserved. | 
 | // http://ceres-solver.org/ | 
 | // | 
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 | // | 
 | // Author: sameeragarwal@google.com (Sameer Agarwal) | 
 |  | 
 | #include "ceres/normal_prior.h" | 
 |  | 
 | #include <cstddef> | 
 | #include <utility> | 
 | #include <vector> | 
 |  | 
 | #include "ceres/internal/eigen.h" | 
 | #include "ceres/types.h" | 
 | #include "glog/logging.h" | 
 |  | 
 | namespace ceres { | 
 |  | 
 | NormalPrior::NormalPrior(const Matrix& A, Vector b) : A_(A), b_(std::move(b)) { | 
 |   CHECK_GT(b_.rows(), 0); | 
 |   CHECK_GT(A_.rows(), 0); | 
 |   CHECK_EQ(b_.rows(), A.cols()); | 
 |   set_num_residuals(A_.rows()); | 
 |   mutable_parameter_block_sizes()->push_back(b_.rows()); | 
 | } | 
 |  | 
 | bool NormalPrior::Evaluate(double const* const* parameters, | 
 |                            double* residuals, | 
 |                            double** jacobians) const { | 
 |   ConstVectorRef p(parameters[0], parameter_block_sizes()[0]); | 
 |   VectorRef r(residuals, num_residuals()); | 
 |   // The following line should read | 
 |   // r = A_ * (p - b_); | 
 |   // The extra eval is to get around a bug in the Eigen library. | 
 |   r = A_ * (p - b_).eval(); | 
 |   if ((jacobians != nullptr) && (jacobians[0] != nullptr)) { | 
 |     MatrixRef(jacobians[0], num_residuals(), parameter_block_sizes()[0]) = A_; | 
 |   } | 
 |   return true; | 
 | } | 
 |  | 
 | }  // namespace ceres |