Changeset 608 for library/doc/html/annotated.html

Timestamp:

09/12/09 11:41:43 (15 years ago)

Author:

smidl

Message:

doc

Files:

• library/doc/html/annotated.html (modified) (7 diffs)

library/doc/html/annotated.html

@@ -72 +72 @@
   <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="classbdm_1_1ArxDS.html">bdm::ArxDS</a></td><td class="indexvalue">Generator of <a class="el" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> data </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_43.png"/> </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_51.png"/> </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1BM.html">bdm::BM</a></td><td class="indexvalue">Bayesian Model of a system, i.e. all uncertainty is modeled by probabilities </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="classbdm_1_1chmat.html">bdm::chmat</a></td><td class="indexvalue">Symmetric matrix stored in square <a class="el" href="classbdm_1_1root.html" title="Root class of BDM objects.">root</a> decomposition using upper cholesky </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_40.png"/>, here <code>rv</code> is empty </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_48.png"/>, here <code>rv</code> is empty </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1Controller.html">bdm::Controller</a></td><td class="indexvalue"></td></tr>
-  <tr><td class="indexkey"><a class="el" href="classbdm_1_1CsvFileDS.html">bdm::CsvFileDS</a></td><td class="indexvalue">CSV file data storage The constructor creates <code>Data</code> matrix from the records in a CSV file <code>fname</code>. The orientation can be of two types: 1. <code>BY_COL</code> which is default - the data are stored in columns; one column per time <img class="formulaInl" alt="$t$" src="form_15.png"/>, one row per data item. 2. <code>BY_ROW</code> if the data are stored the classical CSV style. Then each column stores the values for data item, for ex. <img class="formulaInl" alt="$[y_{t} y_{t-1} ...]$" src="form_16.png"/>, one row for each discrete time instant </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1CsvFileDS.html">bdm::CsvFileDS</a></td><td class="indexvalue">CSV file data storage The constructor creates <code>Data</code> matrix from the records in a CSV file <code>fname</code>. The orientation can be of two types: 1. <code>BY_COL</code> which is default - the data are stored in columns; one column per time <img class="formulaInl" alt="$t$" src="form_22.png"/>, one row per data item. 2. <code>BY_ROW</code> if the data are stored the classical CSV style. Then each column stores the values for data item, for ex. <img class="formulaInl" alt="$[y_{t} y_{t-1} ...]$" src="form_23.png"/>, one row for each discrete time instant </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1datalink.html">bdm::datalink</a></td><td class="indexvalue">DataLink is a connection between two data vectors Up and Down </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1datalink__2to1__buffered.html">bdm::datalink_2to1_buffered</a></td><td class="indexvalue">Buffered <a class="el" href="classbdm_1_1datalink.html" title="DataLink is a connection between two data vectors Up and Down.">datalink</a> from 2 vectors to 1 </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1datalink__buffered.html">bdm::datalink_buffered</a></td><td class="indexvalue">Datalink that buffers delayed values - do not forget to call <a class="el" href="classbdm_1_1datalink__buffered.html#af137706c55891ba8a8aecc52ea96865f" title="push current data to history">step()</a> </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 with a condition </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_1datalink__m2m.html">bdm::datalink_m2m</a></td><td class="indexvalue">DataLink is a connection between <a class="el" href="classbdm_1_1mpdf.html" title="Conditional probability density, e.g. modeling , where  is random variable, rv, and...">mpdf</a> and its superordinate (Up) This class links </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1datalink__part.html">bdm::datalink_part</a></td><td class="indexvalue"></td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1Designer.html">bdm::Designer</a></td><td class="indexvalue">Low-level class for design of control strategy </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_42.png"/> </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_50.png"/> </td></tr>
   <tr><td class="indexkey"><a class="el" href="structDIR.html">DIR</a></td><td class="indexvalue"></td></tr>
   <tr><td class="indexkey"><a class="el" href="structdirent.html">dirent</a></td><td class="indexvalue"></td></tr>
@@ -108 +111 @@
   <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_1EpdfDS.html">bdm::EpdfDS</a></td><td class="indexvalue">Simulate data from a static pdf Trivial example of a data source, could be used for tests of some estimation algorithms. For example, simulating data from a mixture model and feeding them to mixture model estimators </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>
@@ -120 +124 @@
   <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="Common abstract base for Kalman filters.">Kalman</a> filter with full matrices </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1ldmat.html">bdm::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="classbdm_1_1linfn.html">bdm::linfn</a></td><td class="indexvalue">Class representing function <img class="formulaInl" alt="$f(x) = Ax+B$" src="form_41.png"/> </td></tr>
+  <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_49.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_1LQG.html">bdm::LQG</a></td><td class="indexvalue"></td></tr>
@@ -129 +133 @@
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1merger__base.html">bdm::merger_base</a></td><td class="indexvalue">Base class for general combination of pdfs on discrete support </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1merger__mix.html">bdm::merger_mix</a></td><td class="indexvalue">Merger using importance sampling with mixture proposal density </td></tr>
-  <tr><td class="indexkey"><a class="el" href="classbdm_1_1MexDS.html">bdm::MexDS</a></td><td class="indexvalue">Memory storage of off-line data column-wise </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mexBM.html">bdm::mexBM</a></td><td class="indexvalue"></td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mexDS.html">bdm::mexDS</a></td><td class="indexvalue">Matlab wrapper for <a class="el" href="classbdm_1_1DS.html" title="Abstract class for discrete-time sources of data.">DS</a> mapping functions <a class="el" href="classbdm_1_1mexDS.html#a0b45e92047ef1676ad19a42902956c8b" title="Moves from  to , i.e. perfroms the actions and reads response of the system.">step()</a> to a matlab function </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mexEpdf.html">bdm::mexEpdf</a></td><td class="indexvalue"></td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1mexlog.html">bdm::mexlog</a></td><td class="indexvalue">Logger storing results into an mxArray </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>
@@ -141 +147 @@
   <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 <a class="el" href="classbdm_1_1RV.html" title="Class representing variables, most often random variables.">RV</a> and RVC </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 <img class="formulaInl" alt="$ f( x | y) $" src="form_132.png"/>, where <img class="formulaInl" alt="$ x $" src="form_7.png"/> is random variable, <code>rv</code>, and <img class="formulaInl" alt="$ y $" src="form_133.png"/> is conditioning variable, <code>rvc</code> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mpdf.html">bdm::mpdf</a></td><td class="indexvalue">Conditional probability density, e.g. modeling <img class="formulaInl" alt="$ f( x | y) $" src="form_2.png"/>, where <img class="formulaInl" alt="$ x $" src="form_3.png"/> is random variable, <code>rv</code>, and <img class="formulaInl" alt="$ y $" src="form_4.png"/> is conditioning variable, <code>rvc</code> </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1mpdf__internal.html">bdm::mpdf_internal&lt; EPDF &gt;</a></td><td class="indexvalue">Mpdf with internal <a class="el" href="classbdm_1_1epdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> that is modified by function <code>condition</code> </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1MpdfDS.html">bdm::MpdfDS</a></td><td class="indexvalue">Simulate data from conditional density Still having only one density but allowing conditioning on either input or delayed values </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>
 <p class="formulaDsp">
-<img class="formulaDsp" alt="\[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \]" src="form_62.png"/>
+<img class="formulaDsp" alt="\[ f(rv|rvc) = \frac{f(rv,rvc)}{f(rvc)} \]" src="form_70.png"/>
 </p>
-<p> where <img class="formulaInl" alt="$ f(rvc) = \int f(rv,rvc) d\ rv $" src="form_63.png"/> </td></tr>
+<p> where <img class="formulaInl" alt="$ f(rvc) = \int f(rv,rvc) d\ rv $" src="form_71.png"/> </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="classbdm_1_1MultiModel.html">bdm::MultiModel</a></td><td class="indexvalue">(Switching) Multiple Model The model runs several models in parallel and evaluates thier weights (fittness) </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1mxArrayDS.html">bdm::mxArrayDS</a></td><td class="indexvalue">Memory storage of off-line data column-wise </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1object__ptr.html">bdm::object_ptr&lt; T &gt;</a></td><td class="indexvalue">A wrapper of <a class="el" href="classbdm_1_1shared__ptr.html" title="A naive implementation of roughly a subset of the std::tr1::shared_ptr spec.">shared_ptr</a> which is never empty </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1Participant.html">bdm::Participant</a></td><td class="indexvalue">Basic <a class="el" href="classbdm_1_1Participant.html" title="Basic Participant.">Participant</a> </td></tr>
@@ -164 +172 @@
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1shared__ptr.html">bdm::shared_ptr&lt; T &gt;</a></td><td class="indexvalue">A naive implementation of roughly a subset of the std::tr1::shared_ptr spec </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1sqmat.html">bdm::sqmat</a></td><td class="indexvalue">Abstract class for representation of double symmetric matrices in square-root form </td></tr>
+  <tr><td class="indexkey"><a class="el" href="classbdm_1_1StateCanonical.html">bdm::StateCanonical</a></td><td class="indexvalue">Conversion of outer <a class="el" href="classbdm_1_1ARX.html" title="Linear Autoregressive model with Gaussian noise.">ARX</a> model (<a class="el" href="classbdm_1_1mlnorm.html" title="Normal distributed linear function with linear function of mean value;.">mlnorm</a>) to state space model </td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1stateDS.html">bdm::stateDS</a></td><td class="indexvalue"></td></tr>
   <tr><td class="indexkey"><a class="el" href="classbdm_1_1StateSpace.html">bdm::StateSpace&lt; sq_T &gt;</a></td><td class="indexvalue">Basic elements of linear state-space model </td></tr>
@@ -176 +185 @@
 </table>
 </div>
-<hr size="1"/><address style="text-align: right;"><small>Generated on Sun Aug 30 22:10:50 2009 for mixpp by&nbsp;
+<hr size="1"/><address style="text-align: right;"><small>Generated on Tue Sep 8 22:11:32 2009 for mixpp by&nbsp;
 <a href="http://www.doxygen.org/index.html">
 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.6.1 </small></address>