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Searched
refs:eigen
(Results
1 - 8
of
8
) sorted by null
/external/eigen/scripts/
eigen_gen_docs
16
rsync -az --no-p --delete build/doc/html/ $USER@ssh.tuxfamily.org:
eigen
/
eigen
.tuxfamily.org-web/htdocs/dox-devel/ || { echo "upload failed"; exit 1; }
19
ssh $USER@ssh.tuxfamily.org 'chmod -R g+w /home/
eigen
/
eigen
.tuxfamily.org-web/htdocs/dox-devel' || { echo "perm failed"; exit 1; }
/external/ceres-solver/internal/ceres/
generate_eliminator_specialization.py
87
#include "ceres/internal/
eigen
.h"
114
#include "ceres/internal/
eigen
.h"
/external/ceres-solver/docs/
build.tex
12
\item{\
eigen
~\footnote{\url{http://
eigen
.tuxfamily.org}}} is used for doing all the low level matrix and
72
\item{\
eigen
}
163
\item{\
eigen
}
165
brew install
eigen
198
(\texttt{ceres/
eigen
}, \texttt{ceres/glog}, etc)
200
\item
Eigen
3.1 from
eigen
.tuxfamily.org (needed on Windows; 3.0.x will not
283
\
eigen
, \gflags\ and \glog.
294
\
eigen
, \gflags\ and \glog
[
all
...]
ceres-solver.tex
80
\newcommand{\
eigen
}{\texttt{Eigen3}}
introduction.tex
6
The key computational cost when solving a non-linear least squares problem is the solution of a linear least squares problem in each iteration. To this end Ceres supports a number of different linear solvers suited for different needs. This includes dense QR factorization (using \
eigen
) for small scale problems, sparse Cholesky factorization (using \texttt{SuiteSparse}) for general sparse problems and specialized Schur complement based solvers for problems that arise in multi-view geometry~\cite{hartley-zisserman-book-2004}.
/external/jmonkeyengine/engine/src/core/com/jme3/util/
TempVars.java
196
*
Eigen
198
public final Eigen3f
eigen
= new Eigen3f();
field in class:TempVars
/external/ceres-solver/
Android.mk
13
external/
eigen
/external/jmonkeyengine/engine/src/core/com/jme3/math/
Line.java
140
Eigen3f compEigen1 = vars.
eigen
;
171
//find the smallest
eigen
vector for the direction vector
Completed in 356 milliseconds