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3<title>mixpp: EKFfull Class Reference</title>
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[84]26<h1>EKFfull Class Reference</h1><!-- doxytag: class="EKFfull" --><!-- doxytag: inherits="KalmanFull,BM" -->Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in full matrices. 
27<a href="#_details">More...</a>
28<p>
29<code>#include &lt;<a class="el" href="libKF_8h-source.html">libKF.h</a>&gt;</code>
30<p>
31<div class="dynheader">
32Inheritance diagram for EKFfull:</div>
33<div class="dynsection">
34<p><center><img src="classEKFfull__inherit__graph.png" border="0" usemap="#EKFfull__inherit__map" alt="Inheritance graph"></center>
35<map name="EKFfull__inherit__map">
[139]36<area shape="rect" href="classEKFful__unQR.html" title="Extended Kalman filter with unknown Q and R." alt="" coords="120,161,219,188"><area shape="rect" href="classKalmanFull.html" title="Basic Kalman filter with full matrices (education purpose only)! Will be deleted..." alt="" coords="21,7,109,33"><area shape="rect" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities." alt="" coords="133,7,173,33"></map>
[84]37<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
38<div class="dynheader">
39Collaboration diagram for EKFfull:</div>
40<div class="dynsection">
41<p><center><img src="classEKFfull__coll__graph.png" border="0" usemap="#EKFfull__coll__map" alt="Collaboration graph"></center>
42<map name="EKFfull__coll__map">
[91]43<area shape="rect" href="classKalmanFull.html" title="Basic Kalman filter with full matrices (education purpose only)! Will be deleted..." alt="" coords="5,390,91,414"><area shape="rect" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities." alt="" coords="415,161,455,185"><area shape="rect" href="classRV.html" title="Class representing variables, most often random variables." alt="" coords="273,6,311,30"><area shape="rect" href="classdiffbifn.html" title="Class representing a differentiable function of two variables ." alt="" coords="117,110,176,134"><area shape="rect" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density." alt="" coords="269,110,315,134"><area shape="rect" href="classfnc.html" title="Class representing function  of variable  represented by rv." alt="" coords="127,6,167,30"><area shape="rect" href="classenorm.html" title="enorm\&lt; fsqmat \&gt;" alt="" coords="195,390,315,414"><area shape="rect" href="classeEF.html" title="General conjugate exponential family posterior density." alt="" coords="269,212,315,236"><area shape="rect" href="classenorm.html" title="Gaussian density with positive definite (decomposed) covariance matrix." alt="" coords="316,301,425,325"><area shape="rect" href="classfsqmat.html" title="Fake sqmat. This class maps sqmat operations to operations on full matrix." alt="" coords="180,301,241,325"><area shape="rect" href="classsqmat.html" title="Virtual class for representation of double symmetric matrices in square&#45;root form..." alt="" coords="183,212,239,236"></map>
[84]44<center><font size="2">[<a href="graph_legend.html">legend</a>]</font></center></div>
45
46<p>
47<a href="classEKFfull-members.html">List of all members.</a><table border="0" cellpadding="0" cellspacing="0">
48<tr><td></td></tr>
49<tr><td colspan="2"><br><h2>Public Member Functions</h2></td></tr>
50<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="67ac4de96fd025197da767fe0472c7f7"></a><!-- doxytag: member="EKFfull::EKFfull" ref="67ac4de96fd025197da767fe0472c7f7" args="(RV rvx, RV rvy, RV rvu)" -->
51&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFfull.html#67ac4de96fd025197da767fe0472c7f7">EKFfull</a> (<a class="el" href="classRV.html">RV</a> rvx, <a class="el" href="classRV.html">RV</a> rvy, <a class="el" href="classRV.html">RV</a> rvu)</td></tr>
52
53<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Default constructor. <br></td></tr>
54<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="fc753106e0d4cf68e4f2160fd54458c0"></a><!-- doxytag: member="EKFfull::set_parameters" ref="fc753106e0d4cf68e4f2160fd54458c0" args="(diffbifn *pfxu, diffbifn *phxu, const mat Q0, const mat R0)" -->
55void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFfull.html#fc753106e0d4cf68e4f2160fd54458c0">set_parameters</a> (<a class="el" href="classdiffbifn.html">diffbifn</a> *pfxu, <a class="el" href="classdiffbifn.html">diffbifn</a> *phxu, const mat Q0, const mat R0)</td></tr>
56
57<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Set nonlinear functions for mean values and covariance matrices. <br></td></tr>
58<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="8ca46f177e395fa714bbd8bd29ea43e0"></a><!-- doxytag: member="EKFfull::bayes" ref="8ca46f177e395fa714bbd8bd29ea43e0" args="(const vec &amp;dt)" -->
59void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFfull.html#8ca46f177e395fa714bbd8bd29ea43e0">bayes</a> (const vec &amp;dt)</td></tr>
60
61<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Here dt = [yt;ut] of appropriate dimensions. <br></td></tr>
62<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="7bb76ea74c144ea0b36db99f94750b7b"></a><!-- doxytag: member="EKFfull::set_est" ref="7bb76ea74c144ea0b36db99f94750b7b" args="(vec mu0, mat P0)" -->
63void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFfull.html#7bb76ea74c144ea0b36db99f94750b7b">set_est</a> (vec mu0, mat P0)</td></tr>
64
65<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">set estimates <br></td></tr>
[171]66<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="170a748ad944bdebb0b3073463876abe"></a><!-- doxytag: member="EKFfull::_epdf" ref="170a748ad944bdebb0b3073463876abe" args="() const " -->
67const <a class="el" href="classepdf.html">epdf</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFfull.html#170a748ad944bdebb0b3073463876abe">_epdf</a> () const </td></tr>
[84]68
69<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">dummy! <br></td></tr>
[210]70<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="820987401e922a03c7d36013e42d8c48"></a><!-- doxytag: member="EKFfull::_e" ref="820987401e922a03c7d36013e42d8c48" args="() const " -->
71const <a class="el" href="classenorm.html">enorm</a>&lt; <a class="el" href="classfsqmat.html">fsqmat</a> &gt; *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classEKFfull.html#820987401e922a03c7d36013e42d8c48">_e</a> () const </td></tr>
72
73<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Returns a pointer to the <a class="el" href="classepdf.html" title="Probability density function with numerical statistics, e.g. posterior density.">epdf</a> representing posterior density on parameters. Use with care! <br></td></tr>
[171]74<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="0186270f75189677f390fe088a9947e9"></a><!-- doxytag: member="EKFfull::bayesB" ref="0186270f75189677f390fe088a9947e9" args="(const mat &amp;Dt)" -->
75virtual void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#0186270f75189677f390fe088a9947e9">bayesB</a> (const mat &amp;Dt)</td></tr>
[84]76
77<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Batch Bayes rule (columns of Dt are observations). <br></td></tr>
[171]78<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#8a8ce6df431689964c41cc6c849cfd06">logpred</a> (const vec &amp;dt) const </td></tr>
79
[180]80<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="cd0660f2a1a344b56ac39802708ff165"></a><!-- doxytag: member="EKFfull::logpred_m" ref="cd0660f2a1a344b56ac39802708ff165" args="(const mat &amp;dt) const " -->
81vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#cd0660f2a1a344b56ac39802708ff165">logpred_m</a> (const mat &amp;dt) const </td></tr>
82
83<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Matrix version of logpred. <br></td></tr>
[210]84<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5594d68ee9aa6fc8c1e79019da5c9d56"></a><!-- doxytag: member="EKFfull::predictor" ref="5594d68ee9aa6fc8c1e79019da5c9d56" args="(const RV &amp;rv) const " -->
85virtual <a class="el" href="classepdf.html">epdf</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#5594d68ee9aa6fc8c1e79019da5c9d56">predictor</a> (const <a class="el" href="classRV.html">RV</a> &amp;<a class="el" href="classBM.html#af00f0612fabe66241dd507188cdbf88">rv</a>) const </td></tr>
[180]86
87<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Constructs a predictive density (marginal density on data). <br></td></tr>
[84]88<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="126bd2595c48e311fc2a7ab72876092a"></a><!-- doxytag: member="EKFfull::_rv" ref="126bd2595c48e311fc2a7ab72876092a" args="() const " -->
89const <a class="el" href="classRV.html">RV</a> &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#126bd2595c48e311fc2a7ab72876092a">_rv</a> () const </td></tr>
90
91<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
92<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="87f4a547d2c29180be88175e5eab9c88"></a><!-- doxytag: member="EKFfull::_ll" ref="87f4a547d2c29180be88175e5eab9c88" args="() const " -->
93double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#87f4a547d2c29180be88175e5eab9c88">_ll</a> () const </td></tr>
94
95<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
[171]96<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="1ffa9f23669aabecc3760c06c6987522"></a><!-- doxytag: member="EKFfull::set_evalll" ref="1ffa9f23669aabecc3760c06c6987522" args="(bool evl0)" -->
97void&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#1ffa9f23669aabecc3760c06c6987522">set_evalll</a> (bool evl0)</td></tr>
98
99<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">access function <br></td></tr>
100<tr><td class="memItemLeft" nowrap align="right" valign="top">virtual <a class="el" href="classBM.html">BM</a> *&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#eb58c81d6a7b75b05fc6f276eed78887">_copy_</a> (bool changerv=false)</td></tr>
101
[84]102<tr><td colspan="2"><br><h2>Public Attributes</h2></td></tr>
103<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="fb5aec635e2720cc5ac31bc01c18a68a"></a><!-- doxytag: member="EKFfull::mu" ref="fb5aec635e2720cc5ac31bc01c18a68a" args="" -->
104vec&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalmanFull.html#fb5aec635e2720cc5ac31bc01c18a68a">mu</a></td></tr>
105
106<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Mean value of the posterior density. <br></td></tr>
107<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b75dc059e84fa8ffc076203b30f926cc"></a><!-- doxytag: member="EKFfull::P" ref="b75dc059e84fa8ffc076203b30f926cc" args="" -->
108mat&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalmanFull.html#b75dc059e84fa8ffc076203b30f926cc">P</a></td></tr>
109
110<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Variance of the posterior density. <br></td></tr>
111<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c17d69e125acd2673e6688fd86dd3f84"></a><!-- doxytag: member="EKFfull::evalll" ref="c17d69e125acd2673e6688fd86dd3f84" args="" -->
112bool&nbsp;</td><td class="memItemRight" valign="bottom"><b>evalll</b></td></tr>
113
114<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="3aa4bf6128980d0627413dcf9cd07308"></a><!-- doxytag: member="EKFfull::ll" ref="3aa4bf6128980d0627413dcf9cd07308" args="" -->
115double&nbsp;</td><td class="memItemRight" valign="bottom"><b>ll</b></td></tr>
116
117<tr><td colspan="2"><br><h2>Protected Attributes</h2></td></tr>
118<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c5353e66238ed717dba79e0499118226"></a><!-- doxytag: member="EKFfull::dimx" ref="c5353e66238ed717dba79e0499118226" args="" -->
119int&nbsp;</td><td class="memItemRight" valign="bottom"><b>dimx</b></td></tr>
120
121<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="761fadcc12dd4cb83bb8b5e27db01947"></a><!-- doxytag: member="EKFfull::dimy" ref="761fadcc12dd4cb83bb8b5e27db01947" args="" -->
122int&nbsp;</td><td class="memItemRight" valign="bottom"><b>dimy</b></td></tr>
123
124<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="609a4a0fcde78fd7aac2f01b34e952c9"></a><!-- doxytag: member="EKFfull::dimu" ref="609a4a0fcde78fd7aac2f01b34e952c9" args="" -->
125int&nbsp;</td><td class="memItemRight" valign="bottom"><b>dimu</b></td></tr>
126
127<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="554de4c953761380cd5a14a02542e007"></a><!-- doxytag: member="EKFfull::A" ref="554de4c953761380cd5a14a02542e007" args="" -->
128mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>A</b></td></tr>
129
130<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="ac7ade2a603a1b05419e36c5aae21755"></a><!-- doxytag: member="EKFfull::B" ref="ac7ade2a603a1b05419e36c5aae21755" args="" -->
131mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>B</b></td></tr>
132
133<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5a9a8326ae17b519109fcdad59ea74a3"></a><!-- doxytag: member="EKFfull::C" ref="5a9a8326ae17b519109fcdad59ea74a3" args="" -->
134mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>C</b></td></tr>
135
136<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="8f992a2d6b66d2e8bd9174b28cc0f074"></a><!-- doxytag: member="EKFfull::D" ref="8f992a2d6b66d2e8bd9174b28cc0f074" args="" -->
137mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>D</b></td></tr>
138
139<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="bbd2dab10da47237a5f0d9e55fd61f24"></a><!-- doxytag: member="EKFfull::R" ref="bbd2dab10da47237a5f0d9e55fd61f24" args="" -->
140mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>R</b></td></tr>
141
142<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="a8777c1fe67763395d3ddeb326239851"></a><!-- doxytag: member="EKFfull::Q" ref="a8777c1fe67763395d3ddeb326239851" args="" -->
143mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>Q</b></td></tr>
144
145<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="905823cf4157a11b8b824e45809dac55"></a><!-- doxytag: member="EKFfull::_Pp" ref="905823cf4157a11b8b824e45809dac55" args="" -->
146mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>_Pp</b></td></tr>
147
148<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="b1b946b3a43f7d86cf4b6dc0dd6e3210"></a><!-- doxytag: member="EKFfull::_Ry" ref="b1b946b3a43f7d86cf4b6dc0dd6e3210" args="" -->
149mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>_Ry</b></td></tr>
150
151<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="c7d915386a9d60b1bc309ae9166764f6"></a><!-- doxytag: member="EKFfull::_iRy" ref="c7d915386a9d60b1bc309ae9166764f6" args="" -->
152mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>_iRy</b></td></tr>
153
154<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="4c8354ea4801529f3071189ddd10d760"></a><!-- doxytag: member="EKFfull::_K" ref="4c8354ea4801529f3071189ddd10d760" args="" -->
155mat&nbsp;</td><td class="memItemRight" valign="bottom"><b>_K</b></td></tr>
156
157<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="af00f0612fabe66241dd507188cdbf88"></a><!-- doxytag: member="EKFfull::rv" ref="af00f0612fabe66241dd507188cdbf88" args="" -->
158<a class="el" href="classRV.html">RV</a>&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#af00f0612fabe66241dd507188cdbf88">rv</a></td></tr>
159
160<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Random variable of the posterior. <br></td></tr>
161<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="5623fef6572a08c2b53b8c87b82dc979"></a><!-- doxytag: member="EKFfull::ll" ref="5623fef6572a08c2b53b8c87b82dc979" args="" -->
162double&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#5623fef6572a08c2b53b8c87b82dc979">ll</a></td></tr>
163
164<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">Logarithm of marginalized data likelihood. <br></td></tr>
165<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="bf6fb59b30141074f8ee1e2f43d03129"></a><!-- doxytag: member="EKFfull::evalll" ref="bf6fb59b30141074f8ee1e2f43d03129" args="" -->
166bool&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classBM.html#bf6fb59b30141074f8ee1e2f43d03129">evalll</a></td></tr>
167
[171]168<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">If true, the filter will compute likelihood of the data record and store it in <code>ll</code> . Set to false if you want to save computational time. <br></td></tr>
[84]169<tr><td colspan="2"><br><h2>Friends</h2></td></tr>
170<tr><td class="memItemLeft" nowrap align="right" valign="top"><a class="anchor" name="86ba216243ed95bb46d80d88775d16af"></a><!-- doxytag: member="EKFfull::operator&lt;&lt;" ref="86ba216243ed95bb46d80d88775d16af" args="(std::ostream &amp;os, const KalmanFull &amp;kf)" -->
171std::ostream &amp;&nbsp;</td><td class="memItemRight" valign="bottom"><a class="el" href="classKalmanFull.html#86ba216243ed95bb46d80d88775d16af">operator&lt;&lt;</a> (std::ostream &amp;os, const <a class="el" href="classKalmanFull.html">KalmanFull</a> &amp;kf)</td></tr>
172
173<tr><td class="mdescLeft">&nbsp;</td><td class="mdescRight">print elements of KF <br></td></tr>
174</table>
175<hr><a name="_details"></a><h2>Detailed Description</h2>
176Extended <a class="el" href="classKalman.html" title="Kalman filter with covariance matrices in square root form.">Kalman</a> Filter in full matrices.
177<p>
[171]178An approximation of the exact Bayesian filter with Gaussian noices and non-linear evolutions of their mean. <hr><h2>Member Function Documentation</h2>
179<a class="anchor" name="8a8ce6df431689964c41cc6c849cfd06"></a><!-- doxytag: member="EKFfull::logpred" ref="8a8ce6df431689964c41cc6c849cfd06" args="(const vec &amp;dt) const " -->
180<div class="memitem">
181<div class="memproto">
182      <table class="memname">
183        <tr>
184          <td class="memname">virtual double BM::logpred           </td>
185          <td>(</td>
186          <td class="paramtype">const vec &amp;&nbsp;</td>
187          <td class="paramname"> <em>dt</em>          </td>
188          <td>&nbsp;)&nbsp;</td>
189          <td> const<code> [inline, virtual, inherited]</code></td>
190        </tr>
191      </table>
192</div>
193<div class="memdoc">
194
195<p>
196Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out.
197<p>Reimplemented in <a class="el" href="classARX.html#e7f9e7823aec9bf7ddc3b42d9b3304c4">ARX</a>, <a class="el" href="classMixEF.html#424ca64f36d4e41de7a7e7ae921d35ea">MixEF</a>, and <a class="el" href="classmultiBM.html#13e26a61757278981fd8cac9a7ef91eb">multiBM</a>.</p>
198
[210]199<p>Referenced by <a class="el" href="libBM_8h-source.html#l00428">BM::logpred_m()</a>.</p>
[180]200
[171]201</div>
202</div><p>
203<a class="anchor" name="eb58c81d6a7b75b05fc6f276eed78887"></a><!-- doxytag: member="EKFfull::_copy_" ref="eb58c81d6a7b75b05fc6f276eed78887" args="(bool changerv=false)" -->
204<div class="memitem">
205<div class="memproto">
206      <table class="memname">
207        <tr>
208          <td class="memname">virtual <a class="el" href="classBM.html">BM</a>* BM::_copy_           </td>
209          <td>(</td>
210          <td class="paramtype">bool&nbsp;</td>
211          <td class="paramname"> <em>changerv</em> = <code>false</code>          </td>
212          <td>&nbsp;)&nbsp;</td>
213          <td><code> [inline, virtual, inherited]</code></td>
214        </tr>
215      </table>
216</div>
217<div class="memdoc">
218
219<p>
220Copy function required in vectors, Arrays of <a class="el" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a> etc. Have to be DELETED manually! Prototype: BM* <a class="el" href="classBM.html#eb58c81d6a7b75b05fc6f276eed78887">_copy_()</a>{<a class="el" href="classBM.html" title="Bayesian Model of the world, i.e. all uncertainty is modeled by probabilities.">BM</a> Tmp*=new Tmp(this*); return Tmp; }
[210]221<p>Reimplemented in <a class="el" href="classARX.html#5de61fbd4f97fa3216760b1f733f5af0">ARX</a>, and <a class="el" href="classBMEF.html#97f5312efe4a5bedb86d2daec59d8651">BMEF</a>.</p>
[171]222
223</div>
224</div><p>
225<hr>The documentation for this class was generated from the following files:<ul>
[145]226<li>work/git/mixpp/bdm/estim/<a class="el" href="libKF_8h-source.html">libKF.h</a><li>work/git/mixpp/bdm/estim/libKF.cpp</ul>
[91]227</div>
[210]228<hr size="1"><address style="text-align: right;"><small>Generated on Wed Nov 12 19:18:52 2008 for mixpp by&nbsp;
[84]229<a href="http://www.doxygen.org/index.html">
[139]230<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.6 </small></address>
[84]231</body>
232</html>
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