Changeset 255 for doc/html/ekf__templ_8h.html

Timestamp:

01/28/09 10:01:09 (16 years ago)

Author:

smidl

Message:

doc

Files:

• doc/html/ekf__templ_8h.html (modified) (2 diffs)

doc/html/ekf__templ_8h.html

@@ -18 +18 @@
 </div>
 <div class="contents">
-<h1>work/git/mixpp/bdm/estim/ekf_templ.h File Reference</h1>Bayesian Filtering for linear Gaussian models (<a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter) and extensions. <a href="#_details">More...</a>
+<h1>work/git/mixpp/bdm/estim/ekf_templ.h File Reference</h1>Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. <a href="#_details">More...</a>
 <p>
 <code>#include &quot;<a class="el" href="libKF_8h-source.html">libKF.h</a>&quot;</code><br>
@@ -43 +43 @@
 <a href="ekf__templ_8h-source.html">Go to the source code of this file.</a><table border="0" cellpadding="0" cellspacing="0">
 <tr><td></td></tr>
+<tr><td colspan="2"><br><h2>Namespaces</h2></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top">namespace &nbsp;</td><td class="memItemRight" valign="bottom"><b>bdm</b></td></tr>
+
 <tr><td colspan="2"><br><h2>Classes</h2></td></tr>
-<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFful__unQR.html">EKFful_unQR</a></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFful__unQR.html">bdm::EKFful_unQR</a></td></tr>
 
-<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown <code>Q</code> and <code>R</code>.  <a href="classEKFful__unQR.html#_details">More...</a><br></td></tr>
-<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFCh__unQ.html">EKFCh_unQ</a></td></tr>
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown <code>Q</code> and <code>R</code>.  <a href="classbdm_1_1EKFful__unQR.html#_details">More...</a><br></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__unQ.html">bdm::EKFCh_unQ</a></td></tr>
 
-<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in Choleski form with unknown <code>Q</code>.  <a href="classEKFCh__unQ.html#_details">More...</a><br></td></tr>
-<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFCh__cond.html">EKFCh_cond</a></td></tr>
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in Choleski form with unknown <code>Q</code>.  <a href="classbdm_1_1EKFCh__unQ.html#_details">More...</a><br></td></tr>
+<tr><td class="memItemLeft" nowrap align="right" valign="top">class &nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classbdm_1_1EKFCh__cond.html">bdm::EKFCh_cond</a></td></tr>
 
-<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown parameters in <code>IM</code>.  <a href="classEKFCh__cond.html#_details">More...</a><br></td></tr>
+<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with unknown parameters in <code>IM</code>.  <a href="classbdm_1_1EKFCh__cond.html#_details">More...</a><br></td></tr>
 </table>
 <hr><a name="_details"></a><h2>Detailed Description</h2>
-Bayesian Filtering for linear Gaussian models (<a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter) and extensions. 
+Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions. 
 <p>
 <dl class="author" compact><dt><b>Author:</b></dt><dd>Vaclav Smidl.</dd></dl>
 ----------------------------------- BDM++ - C++ library for Bayesian Decision Making under Uncertainty<p>
 Using IT++ for numerical operations ----------------------------------- </div>
-<hr size="1"><address style="text-align: right;"><small>Generated on Thu Jan 15 10:50:31 2009 for mixpp by&nbsp;
+<hr size="1"><address style="text-align: right;"><small>Generated on Tue Jan 27 16:29:54 2009 for mixpp by&nbsp;
 <a href="http://www.doxygen.org/index.html">
 <img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>