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  /external/ceres-solver/internal/ceres/
linear_solver.cc 50 case CGNR:
types.cc 55 CASESTR(CGNR);
69 STRENUM(CGNR);
evaluator.cc 61 case CGNR:
solver.cc 160 if (linear_solver_type_given == CGNR ||
system_test.cc 502 CONFIGURE(CGNR, SUITE_SPARSE, kAutomaticOrdering, JACOBI);
solver_impl.cc 748 "to CGNR with JACOBI preconditioner.",
751 options->linear_solver_type = CGNR;
753 // CGNR currently only supports the JACOBI preconditioner.
775 options->linear_solver_type == CGNR) {
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solver_impl_test.cc 570 options.linear_solver_type = CGNR;
  /external/ceres-solver/include/ceres/
types.h 93 CGNR
  /external/ceres-solver/docs/
build.tex 242 \texttt{DENSE\_SCHUR}, \texttt{CGNR}, and \texttt{ITERATIVE\_SCHUR}.
changes.tex 233 \item New iterative linear solver for general sparse problems - \texttt{CGNR} and a block Jacobi preconditioner for it.
solving.tex 322 \subsection{\texttt{CGNR}}
323 For general sparse problems, if the problem is too large for \texttt{CHOLMOD} or a sparse linear algebra library is not linked into Ceres, another option is the \texttt{CGNR} solver. This solver uses the Conjugate Gradients solver on the {\em normal equations}, but without forming the normal equations explicitly. It exploits the relation
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