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1 %!TEX root = ceres-solver.tex
5 \url{http://code.google.com/p/ceres-solver/}.
93 tar zxf ceres-solver-1.2.1.tar.gz
96 cmake ../ceres-solver-1.2.1
105 ../ceres-solver-1.2.1/data/problem-16-22106-pre.txt \
107 This runs Ceres for a maximum of 10 iterations using the \denseschur\ linear solver. The output should look something like this.
118 Ceres Solver Report
127 Linear solver DENSE_SCHUR DENSE_SCHUR
130 Linear Solver Threads: 1 1
179 tar zxf ceres-solver-1.2.1.tar.gz
182 cmake ../ceres-solver-1.2.1
208 \texttt{ceres-solver-1.3.0}. Alternately, checkout Ceres via git to get
209 \texttt{ceres-solver.git} inside \texttt{ceres}.
212 \item Run CMake; select the \texttt{ceres-solver-X.Y.Z} or
213 \texttt{ceres-solver.git} directory for the CMake file. Then select the
282 to large scale problems due to the lack of a sparse Cholesky solver. This will reduce Ceres' dependencies down to
293 This saves on binary size, but the resulting version of Ceres is not suited to large scale problems due to the lack of a sparse Cholesky solver. This will reduce Ceres' dependencies down to
307 small (10-20\%) performance gains in the \sparseschur\ solver, you can disable some of the template