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  /external/ceres-solver/internal/ceres/
cxsparse.h 46 // explicity exist in CXSparse. The methods in the class are nonstatic because
48 class CXSparse {
50 CXSparse();
51 ~CXSparse();
cxsparse.cc 33 #include "ceres/cxsparse.h"
42 CXSparse::CXSparse() : scratch_(NULL), scratch_size_(0) {
45 CXSparse::~CXSparse() {
51 bool CXSparse::SolveCholesky(cs_di* A,
89 cs_dis* CXSparse::AnalyzeCholesky(cs_di* A) {
94 cs_di CXSparse::CreateSparseMatrixTransposeView(CompressedRowSparseMatrix* A) {
106 cs_di* CXSparse::CreateSparseMatrix(TripletSparseMatrix* tsm) {
119 void CXSparse::Free(cs_di* factor)
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sparse_normal_cholesky_solver.h 37 #include "ceres/cxsparse.h"
81 CXSparse cxsparse_;
schur_complement_solver.h 40 #include "ceres/cxsparse.h"
177 CXSparse cxsparse_;
  /external/ceres-solver/docs/
build.tex 27 \item{\texttt{CXSparse}~\footnote{\url{http://www.cise.ufl.edu/research/sparse/CXSparse/}}} is used for sparse matrix analysis, ordering and factorization. While it is similar to \texttt{SuiteSparse} in scope, its performance is a bit worse but is a much simpler library to build and does not have any other dependencies. This is an optional dependency.
77 \item{\suitesparse\ and \texttt{CXSparse}}
81 This should automatically bring in the necessary \blas\ and \lapack\ dependencies. By co-incidence on Ubuntu, this also installs \texttt{CXSparse}.
167 \item{\suitesparse\ and \texttt{CXSparse}}
192 versions due to the unavaliability of SuiteSparse and CXSparse. Building is
285 \item{\texttt{CXSparse}}
287 By default, Ceres will only link to \texttt{CXSparse} if all its dependencies are present.
changes.tex 98 \item Cached symbolic factorization when using \texttt{CXSparse}.
204 \item \texttt{CXSparse} support.
solving.tex 256 \texttt{CXSparse} packages~\cite{chen2006acs}.
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