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Revision 37, 1.4 kB
(checked in by smidl, 16 years ago)
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Matrix in Cholesky decomposition, Square-root Kalman and many bug fixes
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Property svn:eol-style set to
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| 1 | \section{mixpp File List} |
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| 2 | Here is a list of all documented files with brief descriptions:\begin{CompactList} |
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| 3 | \item\contentsline{section}{work/mixpp/bdm/\textbf{itpp\_\-ext.h} }{\pageref{itpp__ext_8h}}{} |
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| 4 | \item\contentsline{section}{work/mixpp/bdm/estim/{\bf libKF.h} (Bayesian Filtering for linear Gaussian models (\doxyref{Kalman}{p.}{classKalman} Filter) and extensions )}{\pageref{libKF_8h}}{} |
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| 5 | \item\contentsline{section}{work/mixpp/bdm/estim/{\bf libPF.h} (Bayesian Filtering using stochastic sampling (Particle Filters) )}{\pageref{libPF_8h}}{} |
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| 6 | \item\contentsline{section}{work/mixpp/bdm/math/{\bf chmat.h} (Matrices in decomposed forms (LDL', LU, UDU', etc) )}{\pageref{chmat_8h}}{} |
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| 7 | \item\contentsline{section}{work/mixpp/bdm/math/{\bf libDC.h} (Matrices in decomposed forms (LDL', LU, UDU', etc) )}{\pageref{libDC_8h}}{} |
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| 8 | \item\contentsline{section}{work/mixpp/bdm/stat/{\bf libBM.h} (Bayesian Models (bm) that use Bayes rule to learn from observations )}{\pageref{libBM_8h}}{} |
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| 9 | \item\contentsline{section}{work/mixpp/bdm/stat/{\bf libDS.h} (Common DataSources )}{\pageref{libDS_8h}}{} |
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| 10 | \item\contentsline{section}{work/mixpp/bdm/stat/{\bf libEF.h} (Probability distributions for Exponential Family models )}{\pageref{libEF_8h}}{} |
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| 11 | \item\contentsline{section}{work/mixpp/bdm/stat/\textbf{libFN.h} }{\pageref{libFN_8h}}{} |
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| 12 | \item\contentsline{section}{work/mixpp/tests/\textbf{pmsm.h} }{\pageref{pmsm_8h}}{} |
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| 13 | \end{CompactList} |
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