1 // Ceres Solver - A fast non-linear least squares minimizer
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29 // Author: sameeragarwal@google.com (Sameer Agarwal)
30 
31 #include "ceres/normal_prior.h"
32 
33 #include <cstddef>
34 #include <vector>
35 #include "ceres/internal/eigen.h"
36 #include "ceres/internal/scoped_ptr.h"
37 #include "ceres/types.h"
38 #include "glog/logging.h"
39 
40 namespace ceres {
41 
NormalPrior(const Matrix & A,const Vector & b)42 NormalPrior::NormalPrior(const Matrix& A, const Vector& b)
43     : A_(A), b_(b) {
44   CHECK_GT(b_.rows(), 0);
45   CHECK_GT(A_.rows(), 0);
46   CHECK_EQ(b_.rows(), A.cols());
47   set_num_residuals(A_.rows());
48   mutable_parameter_block_sizes()->push_back(b_.rows());
49 }
50 
Evaluate(double const * const * parameters,double * residuals,double ** jacobians) const51 bool NormalPrior::Evaluate(double const* const* parameters,
52                            double* residuals,
53                            double** jacobians) const {
54   ConstVectorRef p(parameters[0], parameter_block_sizes()[0]);
55   VectorRef r(residuals, num_residuals());
56   // The following line should read
57   // r = A_ * (p - b_);
58   // The extra eval is to get around a bug in the eigen library.
59   r = A_ * (p - b_).eval();
60   if ((jacobians != NULL) && (jacobians[0] != NULL)) {
61     MatrixRef(jacobians[0], num_residuals(), parameter_block_sizes()[0]) = A_;
62   }
63   return true;
64 }
65 
66 }  // namespace ceres
67