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<title>Description of calib_obj2</title>
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<div><a href="../index.html">Home</a> &gt; <a href="index.html">.</a> &gt; calib_obj2.m</div>
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<h1>calib_obj2
</h1>
<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>targets and iy order: 1) variances 2) correlations</strong></div>
<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function objective=calib_obj2(M_.Sigma_e,A,ghu1,ghx,ghu,targets,var_weights,iy,nar) </strong></div>
<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> targets and iy order: 1) variances 2) correlations
3) constraints on M_.Sigma_e itself 4) autocorrelations</pre></div>
<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="lyapunov_symm.html" class="code" title="function [x,ns_var]=lyapunov_symm(a,b)">lyapunov_symm</a> solves x-a*x*a'=b for b (and then x) symmetrical</li></ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="calib.html" class="code" title="function M_.Sigma_e = calib(var_indices,targets,var_weights,nar,cova,M_.Sigma_e)">calib</a> </li></ul>
<!-- crossreference -->
<h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre>0001 <span class="comment">% targets and iy order: 1) variances 2) correlations</span>
0002 <span class="comment">% 3) constraints on M_.Sigma_e itself 4) autocorrelations</span>
0003 <a name="_sub0" href="#_subfunctions" class="code">function objective=calib_obj2(M_.Sigma_e,A,ghu1,ghx,ghu,targets,var_weights,iy,nar)</a>
0004 <span class="keyword">global</span> vx fold
0005
0006 objective = cell (nar+3);
0007 oo_.gamma_y = cell(nar+1,1);
0008 M_.Sigma_e=diag(M_.Sigma_e);
0009 nx = size(ghx,2);
0010 b=ghu1*M_.Sigma_e*ghu1';
0011 vx = <a href="lyapunov_symm.html" class="code" title="function [x,ns_var]=lyapunov_symm(a,b)">lyapunov_symm</a>(A,b);
0012 oo_.gamma_y{1} = ghx*vx*ghx'+ ghu*M_.Sigma_e*ghu';
0013 <span class="keyword">if</span> ~isempty(targets{1})
0014 objective{1} = sqrt(oo_.gamma_y{1}(iy{1}));
0015 <span class="keyword">end</span>
0016
0017 sy = sqrt(diag(oo_.gamma_y{1}));
0018 sy = sy *sy';
0019 <span class="keyword">if</span> ~isempty(targets{2})
0020 objective{2} = oo_.gamma_y{1}(iy{2})./(sy(iy{2})+1e-10);
0021 <span class="keyword">end</span>
0022
0023 <span class="keyword">if</span> ~isempty(targets{3})
0024 objective{3} = M_.Sigma_e(iy{3});
0025 <span class="keyword">end</span>
0026
0027 <span class="comment">% autocorrelations</span>
0028 <span class="keyword">if</span> nar &gt; 0
0029 vxy = (A*vx*ghx'+ghu1*M_.Sigma_e*ghu');
0030
0031 oo_.gamma_y{2} = ghx*vxy./(sy+1e-10);
0032 <span class="keyword">if</span> ~isempty(targets{4})
0033 objective{4} = oo_.gamma_y{2}(iy{4});
0034 <span class="keyword">end</span>
0035
0036 <span class="keyword">for</span> i=2:nar
0037 vxy = A*vxy;
0038 oo_.gamma_y{i+1} = ghx*vxy./(sy+1e-10);
0039 <span class="keyword">if</span> ~isempty(targets{i+3})
0040 objecitve{i+3} = oo_.gamma_y{i+1}(iy{i+3});
0041 <span class="keyword">end</span>
0042 <span class="keyword">end</span>
0043 <span class="keyword">end</span>
0044
0045 <span class="comment">% 11/04/02 MJ generalized for correlations, autocorrelations and</span>
0046 <span class="comment">% constraints on M_.Sigma_e</span></pre></div>
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