1 | \hypertarget{classbdm_1_1KFcondQR}{ |
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2 | \section{bdm::KFcondQR Class Reference} |
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3 | \label{classbdm_1_1KFcondQR}\index{bdm::KFcondQR@{bdm::KFcondQR}} |
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4 | } |
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5 | {\tt \#include $<$libKF.h$>$} |
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6 | |
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7 | Inheritance diagram for bdm::KFcondQR:\nopagebreak |
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8 | \begin{figure}[H] |
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9 | \begin{center} |
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10 | \leavevmode |
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11 | \includegraphics[width=118pt]{classbdm_1_1KFcondQR__inherit__graph} |
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12 | \end{center} |
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13 | \end{figure} |
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14 | |
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15 | |
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16 | \subsection{Detailed Description} |
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17 | \hyperlink{classbdm_1_1Kalman}{Kalman} Filter with conditional diagonal matrices R and Q. \subsection*{Public Member Functions} |
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18 | \begin{CompactItemize} |
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19 | \item |
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20 | \hypertarget{classbdm_1_1KFcondQR_b586ac962751a6af76b2e0fd7e066194}{ |
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21 | \hyperlink{classbdm_1_1KFcondQR_b586ac962751a6af76b2e0fd7e066194}{KFcondQR} ()} |
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22 | \label{classbdm_1_1KFcondQR_b586ac962751a6af76b2e0fd7e066194} |
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23 | |
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24 | \begin{CompactList}\small\item\em Default constructor. \item\end{CompactList}\item |
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25 | \hypertarget{classbdm_1_1KFcondQR_0288d47032757774a525f196ac3da21d}{ |
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26 | void \hyperlink{classbdm_1_1KFcondQR_0288d47032757774a525f196ac3da21d}{condition} (const vec \&RQ)} |
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27 | \label{classbdm_1_1KFcondQR_0288d47032757774a525f196ac3da21d} |
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28 | |
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29 | \begin{CompactList}\small\item\em Substitute {\tt val} for {\tt rvc}. \item\end{CompactList}\item |
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30 | \hypertarget{classbdm_1_1Kalman_94eb8cc31731210089db0ba4e1a08a6c}{ |
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31 | void \hyperlink{classbdm_1_1Kalman_94eb8cc31731210089db0ba4e1a08a6c}{set\_\-parameters} (const mat \&A0, const mat \&B0, const mat \&C0, const mat \&D0, const \hyperlink{classldmat}{ldmat} \&R0, const \hyperlink{classldmat}{ldmat} \&Q0)} |
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32 | \label{classbdm_1_1Kalman_94eb8cc31731210089db0ba4e1a08a6c} |
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33 | |
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34 | \begin{CompactList}\small\item\em Set parameters with check of relevance. \item\end{CompactList}\item |
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35 | \hypertarget{classbdm_1_1Kalman_9264fc6b173ecb803d2684b883f32c68}{ |
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36 | void \hyperlink{classbdm_1_1Kalman_9264fc6b173ecb803d2684b883f32c68}{set\_\-est} (const vec \&mu0, const \hyperlink{classldmat}{ldmat} \&P0)} |
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37 | \label{classbdm_1_1Kalman_9264fc6b173ecb803d2684b883f32c68} |
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38 | |
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39 | \begin{CompactList}\small\item\em Set estimate values, used e.g. in initialization. \item\end{CompactList}\item |
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40 | \hypertarget{classbdm_1_1Kalman_4a39330c14eff8d13179e868a1d1aa8c}{ |
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41 | void \hyperlink{classbdm_1_1Kalman_4a39330c14eff8d13179e868a1d1aa8c}{bayes} (const vec \&dt)} |
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42 | \label{classbdm_1_1Kalman_4a39330c14eff8d13179e868a1d1aa8c} |
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43 | |
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44 | \begin{CompactList}\small\item\em Here dt = \mbox{[}yt;ut\mbox{]} of appropriate dimensions. \item\end{CompactList}\item |
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45 | \hypertarget{classbdm_1_1Kalman_93b5936ba397f13c05f52885c545f42d}{ |
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46 | const \hyperlink{classbdm_1_1epdf}{epdf} \& \hyperlink{classbdm_1_1Kalman_93b5936ba397f13c05f52885c545f42d}{\_\-epdf} () const } |
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47 | \label{classbdm_1_1Kalman_93b5936ba397f13c05f52885c545f42d} |
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48 | |
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49 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item |
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50 | \hypertarget{classbdm_1_1Kalman_c34989b1e53c7d4ecdaea63a95ddbd77}{ |
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51 | const \hyperlink{classbdm_1_1enorm}{enorm}$<$ \hyperlink{classldmat}{ldmat} $>$ $\ast$ \textbf{\_\-e} () const } |
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52 | \label{classbdm_1_1Kalman_c34989b1e53c7d4ecdaea63a95ddbd77} |
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53 | |
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54 | \item |
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55 | \hypertarget{classbdm_1_1Kalman_c788ec6e6c6f5f5861ae8a56d8ede277}{ |
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56 | mat \& \hyperlink{classbdm_1_1Kalman_c788ec6e6c6f5f5861ae8a56d8ede277}{\_\-\_\-K} ()} |
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57 | \label{classbdm_1_1Kalman_c788ec6e6c6f5f5861ae8a56d8ede277} |
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58 | |
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59 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item |
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60 | \hypertarget{classbdm_1_1Kalman_a250d1dbe7bba861dba2a324520cfa48}{ |
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61 | vec \hyperlink{classbdm_1_1Kalman_a250d1dbe7bba861dba2a324520cfa48}{\_\-dP} ()} |
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62 | \label{classbdm_1_1Kalman_a250d1dbe7bba861dba2a324520cfa48} |
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63 | |
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64 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\item |
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65 | \hypertarget{classbdm_1_1BMcond_7506910f93250b44fea505ec4ffb19dc}{ |
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66 | const \hyperlink{classbdm_1_1RV}{RV} \& \hyperlink{classbdm_1_1BMcond_7506910f93250b44fea505ec4ffb19dc}{\_\-rvc} () const } |
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67 | \label{classbdm_1_1BMcond_7506910f93250b44fea505ec4ffb19dc} |
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68 | |
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69 | \begin{CompactList}\small\item\em access function \item\end{CompactList}\end{CompactItemize} |
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70 | \begin{Indent}{\bf Constructors}\par |
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71 | \begin{CompactItemize} |
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72 | \item |
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73 | virtual \hyperlink{classbdm_1_1BM}{BM} $\ast$ \hyperlink{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff}{\_\-copy\_\-} () |
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74 | \end{CompactItemize} |
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75 | \end{Indent} |
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76 | \begin{Indent}{\bf Mathematical operations}\par |
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77 | \begin{CompactItemize} |
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78 | \item |
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79 | \hypertarget{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{ |
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80 | virtual void \hyperlink{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc}{bayesB} (const mat \&Dt)} |
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81 | \label{classbdm_1_1BM_1dee3fddaf021e62d925289660a707dc} |
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82 | |
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83 | \begin{CompactList}\small\item\em Batch Bayes rule (columns of Dt are observations). \item\end{CompactList}\item |
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84 | virtual double \hyperlink{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{logpred} (const vec \&dt) const |
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85 | \item |
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86 | \hypertarget{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{ |
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87 | vec \hyperlink{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae}{logpred\_\-m} (const mat \&dt) const } |
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88 | \label{classbdm_1_1BM_0e8ebe61fb14990abe1254bd3dda5fae} |
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89 | |
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90 | \begin{CompactList}\small\item\em Matrix version of logpred. \item\end{CompactList}\item |
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91 | \hypertarget{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba}{ |
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92 | virtual \hyperlink{classbdm_1_1epdf}{epdf} $\ast$ \hyperlink{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba}{epredictor} () const } |
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93 | \label{classbdm_1_1BM_688d7a2aced1e06aa1c468d73a9e5eba} |
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94 | |
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95 | \begin{CompactList}\small\item\em Constructs a predictive density $ f(d_{t+1} |d_{t}, \ldots d_{0}) $. \item\end{CompactList}\item |
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96 | \hypertarget{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912}{ |
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97 | virtual \hyperlink{classbdm_1_1mpdf}{mpdf} $\ast$ \hyperlink{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912}{predictor} () const } |
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98 | \label{classbdm_1_1BM_598b25e3f3d96a5bc00a5faeb5b3c912} |
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99 | |
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100 | \begin{CompactList}\small\item\em Constructs a conditional density 1-step ahead predictor. \item\end{CompactList}\end{CompactItemize} |
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101 | \end{Indent} |
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102 | \begin{Indent}{\bf Access to attributes}\par |
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103 | \begin{CompactItemize} |
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104 | \item |
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105 | \hypertarget{classbdm_1_1BM_ff2d8755ba0b3def927d31305c03b09c}{ |
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106 | const \hyperlink{classbdm_1_1RV}{RV} \& \textbf{\_\-drv} () const } |
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107 | \label{classbdm_1_1BM_ff2d8755ba0b3def927d31305c03b09c} |
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108 | |
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109 | \item |
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110 | \hypertarget{classbdm_1_1BM_f135ae6dce7e9f30c9f88229c7930b96}{ |
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111 | void \textbf{set\_\-drv} (const \hyperlink{classbdm_1_1RV}{RV} \&rv)} |
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112 | \label{classbdm_1_1BM_f135ae6dce7e9f30c9f88229c7930b96} |
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113 | |
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114 | \item |
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115 | \hypertarget{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70}{ |
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116 | double \textbf{\_\-ll} () const } |
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117 | \label{classbdm_1_1BM_5be65d37dedfe33a3671e7065f523a70} |
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118 | |
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119 | \item |
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120 | \hypertarget{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f}{ |
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121 | void \textbf{set\_\-evalll} (bool evl0)} |
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122 | \label{classbdm_1_1BM_236b3abbcc93594fc97cd86d82c1a83f} |
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123 | |
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124 | \end{CompactItemize} |
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125 | \end{Indent} |
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126 | \subsection*{Protected Attributes} |
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127 | \begin{CompactItemize} |
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128 | \item |
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129 | \hypertarget{classbdm_1_1Kalman_3fe475a1e920b20b63bb342c0e1571f7}{ |
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130 | \hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1Kalman_3fe475a1e920b20b63bb342c0e1571f7}{rvy}} |
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131 | \label{classbdm_1_1Kalman_3fe475a1e920b20b63bb342c0e1571f7} |
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132 | |
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133 | \begin{CompactList}\small\item\em Indetifier of output rv. \item\end{CompactList}\item |
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134 | \hypertarget{classbdm_1_1Kalman_149e27424fd1a7cc1c998ea088618a94}{ |
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135 | \hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1Kalman_149e27424fd1a7cc1c998ea088618a94}{rvu}} |
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136 | \label{classbdm_1_1Kalman_149e27424fd1a7cc1c998ea088618a94} |
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137 | |
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138 | \begin{CompactList}\small\item\em Indetifier of exogeneous rv. \item\end{CompactList}\item |
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139 | \hypertarget{classbdm_1_1Kalman_ba7699cdb3b1382a54d3e28b9b7517fa}{ |
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140 | int \hyperlink{classbdm_1_1Kalman_ba7699cdb3b1382a54d3e28b9b7517fa}{dimx}} |
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141 | \label{classbdm_1_1Kalman_ba7699cdb3b1382a54d3e28b9b7517fa} |
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142 | |
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143 | \begin{CompactList}\small\item\em cache of rv.count() \item\end{CompactList}\item |
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144 | \hypertarget{classbdm_1_1Kalman_d2c36ba01760bf207b985bf321b7817f}{ |
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145 | int \hyperlink{classbdm_1_1Kalman_d2c36ba01760bf207b985bf321b7817f}{dimy}} |
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146 | \label{classbdm_1_1Kalman_d2c36ba01760bf207b985bf321b7817f} |
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147 | |
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148 | \begin{CompactList}\small\item\em cache of rvy.count() \item\end{CompactList}\item |
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149 | \hypertarget{classbdm_1_1Kalman_c5136ef617f6ac0e426bea222755d92b}{ |
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150 | int \hyperlink{classbdm_1_1Kalman_c5136ef617f6ac0e426bea222755d92b}{dimu}} |
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151 | \label{classbdm_1_1Kalman_c5136ef617f6ac0e426bea222755d92b} |
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152 | |
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153 | \begin{CompactList}\small\item\em cache of rvu.count() \item\end{CompactList}\item |
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154 | \hypertarget{classbdm_1_1Kalman_0a2072e2090c10fac74ad30a023a4ace}{ |
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155 | mat \hyperlink{classbdm_1_1Kalman_0a2072e2090c10fac74ad30a023a4ace}{A}} |
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156 | \label{classbdm_1_1Kalman_0a2072e2090c10fac74ad30a023a4ace} |
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157 | |
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158 | \begin{CompactList}\small\item\em Matrix A. \item\end{CompactList}\item |
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159 | \hypertarget{classbdm_1_1Kalman_5977b2c81857948a35105f0e7840203c}{ |
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160 | mat \hyperlink{classbdm_1_1Kalman_5977b2c81857948a35105f0e7840203c}{B}} |
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161 | \label{classbdm_1_1Kalman_5977b2c81857948a35105f0e7840203c} |
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162 | |
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163 | \begin{CompactList}\small\item\em Matrix B. \item\end{CompactList}\item |
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164 | \hypertarget{classbdm_1_1Kalman_818eba63a23972786a4579ad30294177}{ |
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165 | mat \hyperlink{classbdm_1_1Kalman_818eba63a23972786a4579ad30294177}{C}} |
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166 | \label{classbdm_1_1Kalman_818eba63a23972786a4579ad30294177} |
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167 | |
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168 | \begin{CompactList}\small\item\em Matrix C. \item\end{CompactList}\item |
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169 | \hypertarget{classbdm_1_1Kalman_7b56ac423d0654b5755e4f852a870456}{ |
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170 | mat \hyperlink{classbdm_1_1Kalman_7b56ac423d0654b5755e4f852a870456}{D}} |
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171 | \label{classbdm_1_1Kalman_7b56ac423d0654b5755e4f852a870456} |
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172 | |
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173 | \begin{CompactList}\small\item\em Matrix D. \item\end{CompactList}\item |
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174 | \hypertarget{classbdm_1_1Kalman_70f8bf19e81b532c60fd3a7a152425ee}{ |
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175 | \hyperlink{classldmat}{ldmat} \hyperlink{classbdm_1_1Kalman_70f8bf19e81b532c60fd3a7a152425ee}{Q}} |
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176 | \label{classbdm_1_1Kalman_70f8bf19e81b532c60fd3a7a152425ee} |
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177 | |
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178 | \begin{CompactList}\small\item\em Matrix Q in square-root form. \item\end{CompactList}\item |
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179 | \hypertarget{classbdm_1_1Kalman_475b088287cdfbba4dc60a3d027728b7}{ |
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180 | \hyperlink{classldmat}{ldmat} \hyperlink{classbdm_1_1Kalman_475b088287cdfbba4dc60a3d027728b7}{R}} |
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181 | \label{classbdm_1_1Kalman_475b088287cdfbba4dc60a3d027728b7} |
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182 | |
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183 | \begin{CompactList}\small\item\em Matrix R in square-root form. \item\end{CompactList}\item |
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184 | \hypertarget{classbdm_1_1Kalman_383f329ff18bbe219254c8b3b916f40d}{ |
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185 | \hyperlink{classbdm_1_1enorm}{enorm}$<$ \hyperlink{classldmat}{ldmat} $>$ \hyperlink{classbdm_1_1Kalman_383f329ff18bbe219254c8b3b916f40d}{est}} |
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186 | \label{classbdm_1_1Kalman_383f329ff18bbe219254c8b3b916f40d} |
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187 | |
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188 | \begin{CompactList}\small\item\em posterior density on \$x\_\-t\$ \item\end{CompactList}\item |
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189 | \hypertarget{classbdm_1_1Kalman_ba555c394c429f6831c9bbabfa2c944c}{ |
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190 | \hyperlink{classbdm_1_1enorm}{enorm}$<$ \hyperlink{classldmat}{ldmat} $>$ \hyperlink{classbdm_1_1Kalman_ba555c394c429f6831c9bbabfa2c944c}{fy}} |
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191 | \label{classbdm_1_1Kalman_ba555c394c429f6831c9bbabfa2c944c} |
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192 | |
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193 | \begin{CompactList}\small\item\em preditive density on \$y\_\-t\$ \item\end{CompactList}\item |
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194 | \hypertarget{classbdm_1_1Kalman_bd69dfb802465f22dd84d73a180d5c92}{ |
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195 | mat \hyperlink{classbdm_1_1Kalman_bd69dfb802465f22dd84d73a180d5c92}{\_\-K}} |
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196 | \label{classbdm_1_1Kalman_bd69dfb802465f22dd84d73a180d5c92} |
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197 | |
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198 | \begin{CompactList}\small\item\em placeholder for Kalman gain \item\end{CompactList}\item |
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199 | \hypertarget{classbdm_1_1Kalman_c249d45258c8578b13858ad3e7b729b1}{ |
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200 | vec \& \hyperlink{classbdm_1_1Kalman_c249d45258c8578b13858ad3e7b729b1}{\_\-yp}} |
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201 | \label{classbdm_1_1Kalman_c249d45258c8578b13858ad3e7b729b1} |
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202 | |
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203 | \begin{CompactList}\small\item\em cache of fy.mu \item\end{CompactList}\item |
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204 | \hypertarget{classbdm_1_1Kalman_2dd268f2d7fbe6382cb8825a1114192a}{ |
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205 | \hyperlink{classldmat}{ldmat} \& \hyperlink{classbdm_1_1Kalman_2dd268f2d7fbe6382cb8825a1114192a}{\_\-Ry}} |
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206 | \label{classbdm_1_1Kalman_2dd268f2d7fbe6382cb8825a1114192a} |
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207 | |
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208 | \begin{CompactList}\small\item\em cache of fy.R \item\end{CompactList}\item |
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209 | \hypertarget{classbdm_1_1Kalman_fa172078091e45561343fa513dd573b0}{ |
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210 | vec \& \hyperlink{classbdm_1_1Kalman_fa172078091e45561343fa513dd573b0}{\_\-mu}} |
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211 | \label{classbdm_1_1Kalman_fa172078091e45561343fa513dd573b0} |
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212 | |
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213 | \begin{CompactList}\small\item\em cache of est.mu \item\end{CompactList}\item |
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214 | \hypertarget{classbdm_1_1Kalman_00c27b0bf324f0018497921ca23c71ed}{ |
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215 | \hyperlink{classldmat}{ldmat} \& \hyperlink{classbdm_1_1Kalman_00c27b0bf324f0018497921ca23c71ed}{\_\-P}} |
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216 | \label{classbdm_1_1Kalman_00c27b0bf324f0018497921ca23c71ed} |
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217 | |
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218 | \begin{CompactList}\small\item\em cache of est.R \item\end{CompactList}\item |
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219 | \hypertarget{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed}{ |
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220 | \hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed}{drv}} |
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221 | \label{classbdm_1_1BM_c400357e37d27a4834b2b1d9211009ed} |
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222 | |
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223 | \begin{CompactList}\small\item\em Random variable of the data (optional). \item\end{CompactList}\item |
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224 | \hypertarget{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{ |
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225 | double \hyperlink{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a}{ll}} |
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226 | \label{classbdm_1_1BM_4064b6559d962633e4372b12f4cd204a} |
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227 | |
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228 | \begin{CompactList}\small\item\em Logarithm of marginalized data likelihood. \item\end{CompactList}\item |
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229 | \hypertarget{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{ |
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230 | bool \hyperlink{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee}{evalll}} |
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231 | \label{classbdm_1_1BM_faff0ad12556fe7dc0e2807d4fd938ee} |
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232 | |
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233 | \begin{CompactList}\small\item\em If true, the filter will compute likelihood of the data record and store it in {\tt ll} . Set to false if you want to save computational time. \item\end{CompactList}\item |
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234 | \hypertarget{classbdm_1_1BMcond_9a12750776d977408aada06a70093297}{ |
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235 | \hyperlink{classbdm_1_1RV}{RV} \hyperlink{classbdm_1_1BMcond_9a12750776d977408aada06a70093297}{rvc}} |
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236 | \label{classbdm_1_1BMcond_9a12750776d977408aada06a70093297} |
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237 | |
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238 | \begin{CompactList}\small\item\em Identificator of the conditioning variable. \item\end{CompactList}\end{CompactItemize} |
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239 | |
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240 | |
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241 | \subsection{Member Function Documentation} |
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242 | \hypertarget{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff}{ |
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243 | \index{bdm::KFcondQR@{bdm::KFcondQR}!\_\-copy\_\-@{\_\-copy\_\-}} |
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244 | \index{\_\-copy\_\-@{\_\-copy\_\-}!bdm::KFcondQR@{bdm::KFcondQR}} |
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245 | \subsubsection[\_\-copy\_\-]{\setlength{\rightskip}{0pt plus 5cm}virtual {\bf BM}$\ast$ bdm::BM::\_\-copy\_\- ()\hspace{0.3cm}{\tt \mbox{[}inline, virtual, inherited\mbox{]}}}} |
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246 | \label{classbdm_1_1BM_c0f027ff91d8459937c6f60ff8e553ff} |
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247 | |
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248 | |
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249 | Copy function required in vectors, Arrays of \hyperlink{classbdm_1_1BM}{BM} etc. Have to be DELETED manually! Prototype: |
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250 | |
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251 | \begin{Code}\begin{verbatim} BM* _copy_(){return new BM(*this);} |
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252 | \end{verbatim} |
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253 | \end{Code} |
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254 | |
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255 | |
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256 | |
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257 | Reimplemented in \hyperlink{classbdm_1_1ARX_60c40b5c6abc4c7e464b4ccae64a5a61}{bdm::ARX}.\hypertarget{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0}{ |
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258 | \index{bdm::KFcondQR@{bdm::KFcondQR}!logpred@{logpred}} |
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259 | \index{logpred@{logpred}!bdm::KFcondQR@{bdm::KFcondQR}} |
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260 | \subsubsection[logpred]{\setlength{\rightskip}{0pt plus 5cm}virtual double bdm::BM::logpred (const vec \& {\em dt}) const\hspace{0.3cm}{\tt \mbox{[}inline, virtual, inherited\mbox{]}}}} |
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261 | \label{classbdm_1_1BM_50257e0c1e5b5c73153ea6e716ad8ae0} |
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262 | |
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263 | |
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264 | Evaluates predictive log-likelihood of the given data record I.e. marginal likelihood of the data with the posterior integrated out. |
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265 | |
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266 | Reimplemented in \hyperlink{classbdm_1_1ARX_080a7e531e3aa06694112863b15bc6a4}{bdm::ARX}, \hyperlink{classbdm_1_1MixEF_da724da464a75e07521941e430929efa}{bdm::MixEF}, and \hyperlink{classbdm_1_1multiBM_e157b607c1e3fa91d42aeea44458e2bf}{bdm::multiBM}. |
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267 | |
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268 | Referenced by bdm::BM::logpred\_\-m(). |
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269 | |
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270 | The documentation for this class was generated from the following files:\begin{CompactItemize} |
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271 | \item |
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272 | \hyperlink{libKF_8h}{libKF.h}\item |
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273 | libKF.cpp\end{CompactItemize} |
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