Changeset 255 for doc/html/annotated.html

Timestamp:

01/28/09 10:01:09 (17 years ago)

Author:

smidl

Message:

doc

Files:

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

doc/html/annotated.html

@@ -26 +26 @@
 <div class="contents">
 <h1>Class List</h1>Here are the classes, structs, unions and interfaces with brief descriptions:<table>
-  <tr><td class="indexkey"><a class="el" href="classARX.html">ARX</a></td><td class="indexvalue">Linear Autoregressive model with Gaussian noise </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1ARX.html">bdm::ARX</a></td><td class="indexvalue">Linear Autoregressive model with Gaussian noise </td></tr>
   <tr><td class="indexkey"><a class="el" href="classAssertXercesIsAlive.html">AssertXercesIsAlive</a></td><td class="indexvalue">Class initializing Xerces library </td></tr>
   <tr><td class="indexkey"><a class="el" href="classAttribute.html">Attribute</a></td><td class="indexvalue">Abstract class declaring general properties of a frame for data binding </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classbilinfn.html">bilinfn</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x,u) = Ax+Bu$" src="form_48.png"> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1base.html">bdm::base</a></td><td class="indexvalue">Root class of BDM objects </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1bilinfn.html">bdm::bilinfn</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x,u) = Ax+Bu$" src="form_48.png"> </td></tr>
   <tr><td class="indexkey"><a class="el" href="classBindingFrame.html">BindingFrame</a></td><td class="indexvalue">Abstract class declaring general properties of a frame for data binding </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classBM.html">BM</a></td><td class="indexvalue">Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classBMcond.html">BMcond</a></td><td class="indexvalue">Conditional Bayesian Filter </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classBMEF.html">BMEF</a></td><td class="indexvalue">Estimator for Exponential family </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1BM.html">bdm::BM</a></td><td class="indexvalue">Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1BMcond.html">bdm::BMcond</a></td><td class="indexvalue">Conditional Bayesian Filter </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1BMEF.html">bdm::BMEF</a></td><td class="indexvalue">Estimator for Exponential family </td></tr>
   <tr><td class="indexkey"><a class="el" href="classchmat.html">chmat</a></td><td class="indexvalue">Symmetric matrix stored in square root decomposition using upper cholesky </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classcompositepdf.html">compositepdf</a></td><td class="indexvalue">Abstract composition of pdfs, a base for specific classes this abstract class is common to <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> and <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1compositepdf.html">bdm::compositepdf</a></td><td class="indexvalue">Abstract composition of pdfs, a <a class="el" href="classbdm_1_1base.html" title="Root class of BDM objects.">base</a> for specific classes this abstract class is common to <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> and <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> </td></tr>
   <tr><td class="indexkey"><a class="el" href="classCompoundUserInfo.html">CompoundUserInfo&lt; T &gt;</a></td><td class="indexvalue">The main userinfo template class. You should derive this class whenever you need a new userinfo of a class which is compound from smaller elements (all having its own userinfo class prepared) </td></tr>
   <tr><td class="indexkey"><a class="el" href="classCompoundUserInfo_1_1BindedElement.html">CompoundUserInfo&lt; T &gt;::BindedElement&lt; U &gt;</a></td><td class="indexvalue">Templated class binding inner element with its XML tag and automating data transfers in both directions </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classconstfn.html">constfn</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x) = a$" src="form_45.png">, here <code>rv</code> is empty </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classdatalink__e2e.html">datalink_e2e</a></td><td class="indexvalue"></td></tr>
-  <tr><td class="indexkey"><a class="el" href="classdatalink__m2e.html">datalink_m2e</a></td><td class="indexvalue">Data link between </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classdatalink__m2m.html">datalink_m2m</a></td><td class="indexvalue"></td></tr>
-  <tr><td class="indexkey"><a class="el" href="classdiffbifn.html">diffbifn</a></td><td class="indexvalue">Class representing a differentiable function of two variables <img class="formulaInl" alt="$f(x,u)$" src="form_47.png"> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classdirfilelog.html">dirfilelog</a></td><td class="indexvalue">Logging into dirfile with buffer in memory </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classDS.html">DS</a></td><td class="indexvalue">Abstract class for discrete-time sources of data </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classeDirich.html">eDirich</a></td><td class="indexvalue">Dirichlet posterior density </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classeEF.html">eEF</a></td><td class="indexvalue">General conjugate exponential family posterior density </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classeEmp.html">eEmp</a></td><td class="indexvalue">Weighted empirical density </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classegamma.html">egamma</a></td><td class="indexvalue">Gamma posterior density </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classegiw.html">egiw</a></td><td class="indexvalue">Gauss-inverse-Wishart density stored in LD form </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classeigamma.html">eigamma</a></td><td class="indexvalue">Inverse-Gamma posterior density </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKF.html">EKF&lt; sq_T &gt;</a></td><td class="indexvalue">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKF__unQ.html">EKF_unQ</a></td><td class="indexvalue">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> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKFCh.html">EKFCh</a></td><td class="indexvalue">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in Square root </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKFCh__cond.html">EKFCh_cond</a></td><td class="indexvalue">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> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKFCh__du__kQ.html">EKFCh_du_kQ</a></td><td class="indexvalue">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 delta u </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKFCh__unQ.html">EKFCh_unQ</a></td><td class="indexvalue">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> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKFfixed.html">EKFfixed</a></td><td class="indexvalue">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with full matrices in fixed point arithmetic </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKFful__unQR.html">EKFful_unQR</a></td><td class="indexvalue">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> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classEKFfull.html">EKFfull</a></td><td class="indexvalue">Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in full matrices </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classemix.html">emix</a></td><td class="indexvalue">Mixture of epdfs </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classenorm.html">enorm&lt; sq_T &gt;</a></td><td class="indexvalue">Gaussian density with positive definite (decomposed) covariance matrix </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classepdf.html">epdf</a></td><td class="indexvalue">Probability density function with numerical statistics, e.g. posterior density </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classeprod.html">eprod</a></td><td class="indexvalue">Product of independent epdfs. For dependent pdfs, use <a class="el" href="classmprod.html" title="Chain rule decomposition of epdf.">mprod</a> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classeuni.html">euni</a></td><td class="indexvalue">Uniform distributed density on a rectangular support </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classfnc.html">fnc</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x)$" src="form_35.png"> of variable <img class="formulaInl" alt="$x$" src="form_28.png"> represented by <code>rv</code> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1constfn.html">bdm::constfn</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x) = a$" src="form_45.png">, here <code>rv</code> is empty </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1datalink__e2e.html">bdm::datalink_e2e</a></td><td class="indexvalue"></td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1datalink__m2e.html">bdm::datalink_m2e</a></td><td class="indexvalue">Data link between </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1datalink__m2m.html">bdm::datalink_m2m</a></td><td class="indexvalue"></td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1diffbifn.html">bdm::diffbifn</a></td><td class="indexvalue">Class representing a differentiable function of two variables <img class="formulaInl" alt="$f(x,u)$" src="form_47.png"> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1dirfilelog.html">bdm::dirfilelog</a></td><td class="indexvalue">Logging into dirfile with buffer in memory </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1DS.html">bdm::DS</a></td><td class="indexvalue">Abstract class for discrete-time sources of data </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1eDirich.html">bdm::eDirich</a></td><td class="indexvalue">Dirichlet posterior density </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1eEF.html">bdm::eEF</a></td><td class="indexvalue">General conjugate exponential family posterior density </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1eEmp.html">bdm::eEmp</a></td><td class="indexvalue">Weighted empirical density </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1egamma.html">bdm::egamma</a></td><td class="indexvalue">Gamma posterior density </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1egiw.html">bdm::egiw</a></td><td class="indexvalue">Gauss-inverse-Wishart density stored in LD form </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1eigamma.html">bdm::eigamma</a></td><td class="indexvalue">Inverse-Gamma posterior density </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1EKF.html">bdm::EKF&lt; sq_T &gt;</a></td><td class="indexvalue">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classEKF__unQ.html">EKF_unQ</a></td><td class="indexvalue">Extended Kalman filter with unknown <code>Q</code> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1EKFCh.html">bdm::EKFCh</a></td><td class="indexvalue">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in Square root </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1EKFCh__cond.html">bdm::EKFCh_cond</a></td><td class="indexvalue">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> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classEKFCh__cond.html">EKFCh_cond</a></td><td class="indexvalue">Extended Kalman filter with unknown <code>Q</code> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classEKFCh__du__kQ.html">EKFCh_du_kQ</a></td><td class="indexvalue">Extended Kalman filter with unknown <code>Q</code> and delta u </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1EKFCh__unQ.html">bdm::EKFCh_unQ</a></td><td class="indexvalue">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> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classEKFfixed.html">EKFfixed</a></td><td class="indexvalue">Extended Kalman Filter with full matrices in fixed point arithmetic </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1EKFful__unQR.html">bdm::EKFful_unQR</a></td><td class="indexvalue">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> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1EKFfull.html">bdm::EKFfull</a></td><td class="indexvalue">Extended <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in full matrices </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1emix.html">bdm::emix</a></td><td class="indexvalue">Mixture of epdfs </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1enorm.html">bdm::enorm&lt; sq_T &gt;</a></td><td class="indexvalue">Gaussian density with positive definite (decomposed) covariance matrix </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1epdf.html">bdm::epdf</a></td><td class="indexvalue">Probability density function with numerical statistics, e.g. posterior density </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1eprod.html">bdm::eprod</a></td><td class="indexvalue">Product of independent epdfs. For dependent pdfs, use <a class="el" href="classbdm_1_1mprod.html" title="Chain rule decomposition of epdf.">mprod</a> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1euni.html">bdm::euni</a></td><td class="indexvalue">Uniform distributed density on a rectangular support </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1fnc.html">bdm::fnc</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x)$" src="form_35.png"> of variable <img class="formulaInl" alt="$x$" src="form_28.png"> represented by <code>rv</code> </td></tr>
   <tr><td class="indexkey"><a class="el" href="classfsqmat.html">fsqmat</a></td><td class="indexvalue">Fake <a class="el" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square-root form...">sqmat</a>. This class maps <a class="el" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square-root form...">sqmat</a> operations to operations on full matrix </td></tr>
   <tr><td class="indexkey"><a class="el" href="classitpp_1_1Gamma__RNG.html">itpp::Gamma_RNG</a></td><td class="indexvalue">Gamma distribution </td></tr>
@@ -72 +74 @@
   <tr><td class="indexkey"><a class="el" href="classIMpmsm2o.html">IMpmsm2o</a></td><td class="indexvalue">State evolution model for a PMSM drive and its derivative with respect to <img class="formulaInl" alt="$x$" src="form_28.png"> </td></tr>
   <tr><td class="indexkey"><a class="el" href="classIMpmsmStat.html">IMpmsmStat</a></td><td class="indexvalue">State evolution model for a PMSM drive and its derivative with respect to <img class="formulaInl" alt="$x$" src="form_28.png">, equation for <img class="formulaInl" alt="$\omega$" src="form_65.png"> is omitted.$ </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classKalman.html">Kalman&lt; sq_T &gt;</a></td><td class="indexvalue"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classKalmanCh.html">KalmanCh</a></td><td class="indexvalue"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in square root form </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classKalmanFull.html">KalmanFull</a></td><td class="indexvalue">Basic <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with full matrices (education purpose only)! Will be deleted soon! </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classKFcondQR.html">KFcondQR</a></td><td class="indexvalue"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classKFcondR.html">KFcondR</a></td><td class="indexvalue"><a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1Kalman.html">bdm::Kalman&lt; sq_T &gt;</a></td><td class="indexvalue"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with covariance matrices in square root form </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1KalmanCh.html">bdm::KalmanCh</a></td><td class="indexvalue"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter in square root form </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1KalmanFull.html">bdm::KalmanFull</a></td><td class="indexvalue">Basic <a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> filter with full matrices (education purpose only)! Will be deleted soon! </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1KFcondQR.html">bdm::KFcondQR</a></td><td class="indexvalue"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1KFcondR.html">bdm::KFcondR</a></td><td class="indexvalue"><a class="el" href="classbdm_1_1Kalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter with conditional diagonal matrices R and Q </td></tr>
   <tr><td class="indexkey"><a class="el" href="classldmat.html">ldmat</a></td><td class="indexvalue">Matrix stored in LD form, (commonly known as UD) </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classlinfn.html">linfn</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x) = Ax+B$" src="form_46.png"> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classlogger.html">logger</a></td><td class="indexvalue">Class for storing results (and semi-results) of an experiment </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmEF.html">mEF</a></td><td class="indexvalue">Exponential family model </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classMemDS.html">MemDS</a></td><td class="indexvalue">Class representing off-line data stored in memory </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmemlog.html">memlog</a></td><td class="indexvalue">Logging into matrices in data format in memory </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmepdf.html">mepdf</a></td><td class="indexvalue">Unconditional <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>, allows using <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> in the role of <a class="el" href="classmpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmerger.html">merger</a></td><td class="indexvalue">Function for general combination of pdfs </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmgamma.html">mgamma</a></td><td class="indexvalue">Gamma random walk </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmgamma__fix.html">mgamma_fix</a></td><td class="indexvalue">Gamma random walk around a fixed point </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmigamma.html">migamma</a></td><td class="indexvalue">Inverse-Gamma random walk </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmigamma__fix.html">migamma_fix</a></td><td class="indexvalue">Inverse-Gamma random walk around a fixed point </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classMixEF.html">MixEF</a></td><td class="indexvalue">Mixture of Exponential Family Densities </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmlnorm.html">mlnorm&lt; sq_T &gt;</a></td><td class="indexvalue">Normal distributed linear function with linear function of mean value; </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmlstudent.html">mlstudent</a></td><td class="indexvalue"></td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmmix.html">mmix</a></td><td class="indexvalue">Mixture of mpdfs with constant weights, all mpdfs are of equal type </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmpdf.html">mpdf</a></td><td class="indexvalue">Conditional probability density, e.g. modeling some dependencies </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classMPF.html">MPF&lt; BM_T &gt;</a></td><td class="indexvalue">Marginalized Particle filter </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmprod.html">mprod</a></td><td class="indexvalue">Chain rule decomposition of <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmratio.html">mratio</a></td><td class="indexvalue">Class representing ratio of two densities which arise e.g. by applying the Bayes rule. It represents density in the form: <p class="formulaDsp">
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1linfn.html">bdm::linfn</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x) = Ax+B$" src="form_46.png"> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1logger.html">bdm::logger</a></td><td class="indexvalue">Class for storing results (and semi-results) of an experiment </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mEF.html">bdm::mEF</a></td><td class="indexvalue">Exponential family model </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1MemDS.html">bdm::MemDS</a></td><td class="indexvalue">Class representing off-line data stored in memory </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1memlog.html">bdm::memlog</a></td><td class="indexvalue">Logging into matrices in data format in memory </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mepdf.html">bdm::mepdf</a></td><td class="indexvalue">Unconditional <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a>, allows using <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> in the role of <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling some dependencies.">mpdf</a> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1merger.html">bdm::merger</a></td><td class="indexvalue">Function for general combination of pdfs </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mgamma.html">bdm::mgamma</a></td><td class="indexvalue">Gamma random walk </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mgamma__fix.html">bdm::mgamma_fix</a></td><td class="indexvalue">Gamma random walk around a fixed point </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1migamma.html">bdm::migamma</a></td><td class="indexvalue">Inverse-Gamma random walk </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1migamma__fix.html">bdm::migamma_fix</a></td><td class="indexvalue">Inverse-Gamma random walk around a fixed point </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1MixEF.html">bdm::MixEF</a></td><td class="indexvalue">Mixture of Exponential Family Densities </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mlnorm.html">bdm::mlnorm&lt; sq_T &gt;</a></td><td class="indexvalue">Normal distributed linear function with linear function of mean value; </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mlstudent.html">bdm::mlstudent</a></td><td class="indexvalue"></td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mmix.html">bdm::mmix</a></td><td class="indexvalue">Mixture of mpdfs with constant weights, all mpdfs are of equal type </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mpdf.html">bdm::mpdf</a></td><td class="indexvalue">Conditional probability density, e.g. modeling some dependencies </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1MPF.html">bdm::MPF&lt; BM_T &gt;</a></td><td class="indexvalue">Marginalized Particle filter </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mprod.html">bdm::mprod</a></td><td class="indexvalue">Chain rule decomposition of <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mratio.html">bdm::mratio</a></td><td class="indexvalue">Class representing ratio of two densities which arise e.g. by applying the Bayes rule. It represents density in the form: <p class="formulaDsp">
 <img class="formulaDsp" alt="\[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \]" src="form_79.png">
 <p>
  where <img class="formulaInl" alt="$ f(rvc) = \int f(rv,rvc) d\ rv $" src="form_80.png"> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classmultiBM.html">multiBM</a></td><td class="indexvalue">Estimator for Multinomial density </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1multiBM.html">bdm::multiBM</a></td><td class="indexvalue">Estimator for Multinomial density </td></tr>
   <tr><td class="indexkey"><a class="el" href="classOMk1.html">OMk1</a></td><td class="indexvalue">Model stredni hodnoty pozorovani pro k1 </td></tr>
   <tr><td class="indexkey"><a class="el" href="classOMpmsm.html">OMpmsm</a></td><td class="indexvalue">Observation model for PMSM drive and its derivative with respect to <img class="formulaInl" alt="$x$" src="form_28.png"> </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classPF.html">PF</a></td><td class="indexvalue">Trivial particle filter with proposal density equal to parameter evolution model </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1PF.html">bdm::PF</a></td><td class="indexvalue">Trivial particle filter with proposal density equal to parameter evolution model </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classpmsmDS.html">pmsmDS</a></td><td class="indexvalue">Simulator of PMSM machine with predefined profile on omega </td></tr>
   <tr><td class="indexkey"><a class="el" href="classRootElement.html">RootElement</a></td><td class="indexvalue">This class serves to load and/or save DOMElements into/from files stored on a hard-disk </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classRV.html">RV</a></td><td class="indexvalue">Class representing variables, most often random variables </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1RV.html">bdm::RV</a></td><td class="indexvalue">Class representing variables, most often random variables </td></tr>
   <tr><td class="indexkey"><a class="el" href="classsqmat.html">sqmat</a></td><td class="indexvalue">Virtual class for representation of double symmetric matrices in square-root form </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classstr.html">str</a></td><td class="indexvalue">Structure of <a class="el" href="classRV.html" title="Class representing variables, most often random variables.">RV</a> (used internally), i.e. expanded RVs </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1str.html">bdm::str</a></td><td class="indexvalue">Structure of <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> (used internally), i.e. expanded RVs </td></tr>
   <tr><td class="indexkey"><a class="el" href="classTypedUserInfo.html">TypedUserInfo&lt; T &gt;</a></td><td class="indexvalue">TypeUserInfo is still an abstract class, but contrary to the <a class="el" href="classUserInfo.html" title="UserInfo is an abstract is for internal purposes only. Use CompoundUserInfo&lt;T&gt;...">UserInfo</a> class it is already templated. It serves as a bridge to non-abstract classes CompoundUserInfo&lt;T&gt; or ValuedUserInfo&lt;T&gt; </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1UIbuilder.html">bdm::UIbuilder</a></td><td class="indexvalue">Builds computational object from a <a class="el" href="classUserInfo.html" title="UserInfo is an abstract is for internal purposes only. Use CompoundUserInfo&lt;T&gt;...">UserInfo</a> structure </td></tr>
   <tr><td class="indexkey"><a class="el" href="classUserInfo.html">UserInfo</a></td><td class="indexvalue"><a class="el" href="classUserInfo.html" title="UserInfo is an abstract is for internal purposes only. Use CompoundUserInfo&lt;T&gt;...">UserInfo</a> is an abstract is for internal purposes only. Use CompoundUserInfo&lt;T&gt; or ValuedUserInfo&lt;T&gt; instead. The raison d'etre of this class is to allow pointers to its templated descendants </td></tr>
   <tr><td class="indexkey"><a class="el" href="classValuedUserInfo.html">ValuedUserInfo&lt; T &gt;</a></td><td class="indexvalue">The main userinfo template class. It should be derived whenever you need a new userinfo of a class which does not contain any subelements. It is the case of basic classes(or types) like int, string, double, etc </td></tr>
 </table>
 </div>
-<hr size="1"><address style="text-align: right;"><small>Generated on Thu Jan 15 10:50:46 2009 for mixpp by&nbsp;
+<hr size="1"><address style="text-align: right;"><small>Generated on Tue Jan 27 16:30:11 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>