swh:1:snp:e6d42e6731ce66e3c09de07ac49964c03139e990
Tip revision: 26b818c8be2be41dd673d938b403c5c7562635de authored by Travis CI on 28 November 2019, 13:55:12 UTC
Deploy code docs to GitHub Pages Travis build: 305
Deploy code docs to GitHub Pages Travis build: 305
Tip revision: 26b818c
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<div class="title">OxCalculatorT1Molli.hxx</div> </div>
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<a href="_ox_calculator_t1_molli_8hxx.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> </div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#ifndef Tomato_OXCALCULATORT1MOLLI_HXX</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor"></span><span class="preprocessor">#define Tomato_OXCALCULATORT1MOLLI_HXX</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="keyword">namespace </span>Ox {</div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  <span class="keyword">template</span>< <span class="keyword">typename</span> MeasureType ></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  <span class="keywordtype">int</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a591ec9658fb5a3e4f48715057cf62b38">CalculatorT1Molli<MeasureType></a></div>
<div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#a591ec9658fb5a3e4f48715057cf62b38"> 15</a></span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a591ec9658fb5a3e4f48715057cf62b38"> ::prepareToCalculate</a>(){</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  <span class="comment">// if fitter does not have to iterate, do not calculate</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  <span class="keywordflow">if</span> (this->getFitter()->getMaxFunctionEvals() == 0){</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keywordflow">return</span> 1; <span class="comment">// EXIT_FAILURE</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  }</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="comment">// check if ndims has been set</span></div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">if</span> (this->_nDims != 2 && this->_nDims != 3){</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"CalculatorT1Molli::prepareToCalculate currently implemented only for _nDims of 2 or 3"</span>);</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  }</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">if</span> (!this->getInvTimes()){</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"CalculatorT1Molli::prepareToCalculate InvTimes have to be provided!"</span>);</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  }</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="comment">// verify invTimes are sorted</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < this->getNSamples()-1; i++){</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">if</span> (this->getInvTimes()[i] > this->getInvTimes()[i+1]){</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"CalculatorT1Molli::prepareToCalculate InvTimes have to be sorted!"</span>);</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  }</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="comment">// calculate sign</span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">if</span> (this->getSignCalculator()) {</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  this->getSignCalculator()->setNSamples(this->getNSamples());</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  this->getSignCalculator()->setInvTimes(this->getInvTimes());</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  this->getSignCalculator()->setSigMag(this->getSigMag());</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  this->getSignCalculator()->setSigPha(this->getSigPha());</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  this->getSignCalculator()->setSignal(this->_Signal);</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  this->getSignCalculator()->setSigns(this->_Signs);</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  this->getSignCalculator()->calculateSign();</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < this->_nSamples; ++i){</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  this->_Signal[i] = this->_SigMag[i];</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  this->_Signs[i] = 1; <span class="comment">// no flip</span></div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="comment">// calculate start point</span></div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">if</span> (this->getStartPointCalculator()) {</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  this->getStartPointCalculator()->setNDims(this->_nDims);</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">if</span> (!this->getStartPointCalculator()->getInputStartPoint()) {</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">if</span> (this->_nDims == 2) {</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  MeasureType <span class="keyword">const</span> temp[] = {100, 1000};</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  this->getStartPointCalculator()->setInputStartPoint(temp);</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (this->_nDims == 3) {</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  MeasureType <span class="keyword">const</span> temp[] = {100, 200, 1000};</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  this->getStartPointCalculator()->setInputStartPoint(temp);</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  }</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  this->getStartPointCalculator()->setNSamples(this->getNSamples());</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  this->getStartPointCalculator()->setInvTimes(this->getInvTimes());</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  this->getStartPointCalculator()->setSigMag(this->getSigMag());</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  this->getStartPointCalculator()->setSigns(this->getSigns());</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  this->getStartPointCalculator()->setCalculatedStartPoint(this->_StartPoint);</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  this->getStartPointCalculator()->calculateStartPoint();</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  } <span class="keywordflow">else</span> {</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < this->_nDims; ++i){</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  this->_StartPoint[i] = 500;</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> 0; <span class="comment">// EXIT_SUCCESS</span></div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  };</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">template</span>< <span class="keyword">typename</span> MeasureType ></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">int</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a6f15bc9c026305248c927d62748903bf">CalculatorT1Molli<MeasureType></a></div>
<div class="line"><a name="l00088"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#a6f15bc9c026305248c927d62748903bf"> 88</a></span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a6f15bc9c026305248c927d62748903bf"> ::calculate</a>(){</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  this->_Results = std::map <std::string, MeasureType>();</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// calculate if higher than the cutoff</span></div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> (KWUtil::calcMeanArray(this->getNSamples(), this->getSigMag()) < this->getMeanCutOff()) {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> 0; <span class="comment">// EXIT_SUCCESS</span></div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// get ready, continue if prepareToCalculate EXIT_SUCCESS</span></div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordflow">if</span> (this->prepareToCalculate() == 1) {</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">return</span> 1; <span class="comment">// EXIT_FAILURE</span></div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  this->_Results = calculateMolli( this->getNSamples(),</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  this->getInvTimes(),</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  this->getSignal(),</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  this->getSigns());</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keywordflow">return</span> 0; <span class="comment">// EXIT_SUCCESS</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">template</span>< <span class="keyword">typename</span> MeasureType ></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  std::map <std::string, MeasureType></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="class_ox_1_1_calculator_t1_molli.html#ac275f14715caf983839e13f89a87e8d1">CalculatorT1Molli<MeasureType></a></div>
<div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#ac275f14715caf983839e13f89a87e8d1"> 113</a></span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#ac275f14715caf983839e13f89a87e8d1"> ::calculateMolli</a>(<span class="keywordtype">int</span> nSamples, <span class="keyword">const</span> MeasureType* invTimes, MeasureType* signal, MeasureType* signs){</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="comment">// some initialisation</span></div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::map <std::string, MeasureType> results;</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  MeasureType lastValue = 1e32;</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  MeasureType lastValueTemp = 1e32;</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  MeasureType *tempParameters = <span class="keyword">new</span> MeasureType[this->_nDims];</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  MeasureType *tempResults = <span class="keyword">new</span> MeasureType[this->_nDims];</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  KWUtil::copyArrayToArray(this->_nDims, tempParameters, this->_StartPoint); <span class="comment">// start from the starting point</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="comment">// configure Functions object and fitter object</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  this->getModel()->setNSamples(nSamples);</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  this->getModel()->setSignal(signal);</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  this->getModel()->setInvTimes(invTimes);</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// configure Fitter</span></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  this->getFitter()->setParameters(tempParameters);</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  this->getFitter()->setModel(this->getModel());</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="comment">// fit</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  this->getFitter()->performFitting();</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// save the tempResults at the best tempResults</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  KWUtil::copyArrayToArray(this->_nDims, tempResults, this->getFitter()->getParameters());</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  lastValue = this->getModel()->calcCostValue(this->getFitter()->getParameters());</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// look for better solutions than the above one</span></div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> iSwap = 0; iSwap < nSamples; iSwap++) {</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// continue only if TI in reasonable range</span></div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">if</span> (invTimes[iSwap] > this->MaxTIForSignInvert) <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> </div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="comment">// continue if sign was already calculated before</span></div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span> (signs[iSwap] != 0) <span class="keywordflow">continue</span>;</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="comment">// in each iteration change the sign of one of the signal elements</span></div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  signal[iSwap] = -fabs(signal[iSwap]);</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="comment">// start from the starting point</span></div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  this->getFitter()->copyToParameters(this->_StartPoint);</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span> </div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="comment">// fit</span></div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  this->getFitter()->performFitting();</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  lastValueTemp = this->getModel()->calcCostValue(this->getFitter()->getParameters());</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="comment">// are these the best tempResults?</span></div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">if</span> (lastValueTemp < lastValue) {</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="comment">// save the tempResults at the best tempResults</span></div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  KWUtil::copyArrayToArray(this->_nDims, tempResults, this->getFitter()->getParameters());</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  lastValue = lastValueTemp;</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  }</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keywordflow">if</span> (lastValue != 1e32 && tempResults[0] != 0) {</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">if</span> (this->_nDims == 2) {</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  results[<span class="stringliteral">"A"</span>] = tempResults[0];</div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  results[<span class="stringliteral">"T1"</span>] = tempResults[1];</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  results[<span class="stringliteral">"R2"</span>] = calculateR2AbsFromModel(nSamples, invTimes, signal, tempResults);</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  results[<span class="stringliteral">"ChiSqrt"</span>] = KWUtil::getChiSqrt(lastValue, nSamples);</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  results[<span class="stringliteral">"LastValue"</span>] = lastValue;</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (this->_nDims == 3) {</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  results[<span class="stringliteral">"T1"</span>] = tempResults[2] * (tempResults[1] / tempResults[0] - 1.);</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  results[<span class="stringliteral">"R2"</span>] = calculateR2AbsFromModel(nSamples, invTimes, signal, tempResults);</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  results[<span class="stringliteral">"A"</span>] = tempResults[0];</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  results[<span class="stringliteral">"B"</span>] = tempResults[1];</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  results[<span class="stringliteral">"T1star"</span>] = tempResults[2];</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  results[<span class="stringliteral">"ChiSqrt"</span>] = KWUtil::getChiSqrt(lastValue, nSamples);</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  results[<span class="stringliteral">"SNR"</span>] = (results[<span class="stringliteral">"B"</span>] - results[<span class="stringliteral">"A"</span>]) / (results[<span class="stringliteral">"ChiSqrt"</span>] + 0.001);</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  results[<span class="stringliteral">"LastValue"</span>] = lastValue;</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  MeasureType covarianceMatrix[3 * 3];</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  calculateCovarianceMatrix(tempResults, covarianceMatrix);</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">if</span> (covarianceMatrix[4] > 0)</div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  results[<span class="stringliteral">"SD_A"</span>] = sqrt(covarianceMatrix[4]); <span class="comment">// (1,1)</span></div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">if</span> (covarianceMatrix[8] > 0)</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  results[<span class="stringliteral">"SD_B"</span>] = sqrt(covarianceMatrix[8]); <span class="comment">// (2,2)</span></div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keywordflow">if</span> (covarianceMatrix[0] > 0)</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  results[<span class="stringliteral">"SD_T1"</span>] = sqrt(covarianceMatrix[0]); <span class="comment">// (0,0)</span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  }</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  }</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">delete</span> [] tempParameters;</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keyword">delete</span> [] tempResults;</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">return</span> results;</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keyword">template</span>< <span class="keyword">typename</span> MeasureType ></div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  MeasureType</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a9c9238dd8a96e06d3e0a96810377b90b">CalculatorT1Molli<MeasureType></a></div>
<div class="line"><a name="l00206"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#a9c9238dd8a96e06d3e0a96810377b90b"> 206</a></span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a9c9238dd8a96e06d3e0a96810377b90b"> ::calculateR2AbsFromModel</a>(<span class="keywordtype">int</span> nSamples, <span class="keyword">const</span> MeasureType* times, <span class="keyword">const</span> MeasureType* signal, <span class="keyword">const</span> MeasureType* parameters) {</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> </div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  MeasureType *absFitted = <span class="keyword">new</span> MeasureType[nSamples];</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  MeasureType *absYsignal = <span class="keyword">new</span> MeasureType[nSamples];</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < nSamples; i++){</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  MeasureType fitted;</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  fitted = this->_Model->calcModelValue(parameters, times[i]);</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  absFitted[i] = fabs(fitted);</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  absYsignal[i] = fabs(signal[i]);</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  }</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordtype">double</span> result = KWUtil::calcR2cor(nSamples, absFitted, absYsignal);</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> </div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">delete</span>[] absFitted;</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">delete</span>[] absYsignal;</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">return</span> result;</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  }</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keyword">template</span>< <span class="keyword">typename</span> MeasureType ></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="keywordtype">int</span></div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a030582bca754a7b81febfae53fe0c10c">CalculatorT1Molli<MeasureType></a></div>
<div class="line"><a name="l00228"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#a030582bca754a7b81febfae53fe0c10c"> 228</a></span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a030582bca754a7b81febfae53fe0c10c"> ::calculateCovarianceMatrix</a>(<span class="keyword">const</span> MeasureType* parameters, MeasureType *covarianceMatrix) {</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < 3*3; ++i) {</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  covarianceMatrix[i] = 0;</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keywordflow">if</span> (_DoCalculateSDMap) {</div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordtype">int</span> nSamples = this->getNSamples();</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">const</span> MeasureType *invTimes = this->getModel()->getInvTimes();</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  MeasureType *residuals = <span class="keyword">new</span> MeasureType[nSamples];</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  MeasureType invCovarianceMatrix[3 * 3];</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> </div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  this->getModel()->calcLSResiduals(parameters, residuals);</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  calculateInvCovarianceMatrix(invTimes, residuals, parameters, invCovarianceMatrix);</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  KWUtil::calcMatrixInverse3x3<MeasureType>(invCovarianceMatrix, covarianceMatrix);</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span> </div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <span class="keyword">delete</span>[] residuals;</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  }</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> </div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> 0; <span class="comment">//EXIT_SUCCESS</span></div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  }</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> </div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">template</span>< <span class="keyword">typename</span> MeasureType ></div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordtype">int</span></div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <a class="code" href="class_ox_1_1_calculator_t1_molli.html#aec374fc512aa3b109138f0c16c53a171">CalculatorT1Molli<MeasureType></a></div>
<div class="line"><a name="l00257"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#aec374fc512aa3b109138f0c16c53a171"> 257</a></span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#aec374fc512aa3b109138f0c16c53a171"> ::calculateInvCovarianceMatrix</a>(<span class="keyword">const</span> MeasureType* invTimes, <span class="keyword">const</span> MeasureType* residuals, <span class="keyword">const</span> MeasureType* parameters, MeasureType *invCovarianceMatrix) {</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// invCovarianceMatrix - indexing by column,row</span></div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordtype">int</span> nSamples = this->getNSamples();</div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  MeasureType A = parameters[0];</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  MeasureType B = parameters[1];</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  MeasureType T1star = parameters[2];</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  MeasureType tempInvCovarianceMatrix[3*3];</div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> </div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < 3*3; ++i) {</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  invCovarianceMatrix[i] = 0;</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  tempInvCovarianceMatrix[i] = 0;</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> </div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordflow">if</span> (fabs(A) < std::numeric_limits<MeasureType>::min())</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> 1; <span class="comment">// EXIT_FAILURE</span></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">if</span> (fabs(T1star) < std::numeric_limits<MeasureType>::min())</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keywordflow">return</span> 1; <span class="comment">// EXIT_FAILURE</span></div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  MeasureType T1 = (B/A-1)*T1star;</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">if</span> (fabs(T1) < std::numeric_limits<MeasureType>::min())</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <span class="keywordflow">return</span> 1; <span class="comment">// EXIT_FAILURE</span></div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  MeasureType dydA = 0;</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  MeasureType dydB = 0;</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  MeasureType dydT1 = 0;</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> </div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < nSamples; ++i){</div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  MeasureType invTime = invTimes[i];</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  MeasureType myexparg = ( -invTime * ( B/A - 1) / T1);</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">if</span> ((myexparg > std::numeric_limits<MeasureType>::max_exponent)</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  || (myexparg < std::numeric_limits<MeasureType>::min_exponent))</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> 1; <span class="comment">//EXIT_FAILURE</span></div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  MeasureType myexp = exp (myexparg);</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  dydA = 1 - B * myexp * invTime * B / ( T1 * A * A);</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  dydB = -myexp + B * myexp * invTime / ( T1 * A );</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  dydT1 = -B * myexp * invTime * (B/A-1) / ( T1 * T1);</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  tempInvCovarianceMatrix[0] += dydT1 * dydT1; <span class="comment">// (0,0)</span></div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  tempInvCovarianceMatrix[1] += dydA * dydT1; <span class="comment">// (0,1)</span></div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  tempInvCovarianceMatrix[2] += dydB * dydT1; <span class="comment">// (0,2)</span></div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  tempInvCovarianceMatrix[3] += dydT1 * dydA; <span class="comment">// (1,0)</span></div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  tempInvCovarianceMatrix[4] += dydA * dydA; <span class="comment">// (1,1)</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  tempInvCovarianceMatrix[5] += dydB * dydA; <span class="comment">// (1,2)</span></div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  tempInvCovarianceMatrix[6] += dydT1 * dydB; <span class="comment">// (2,0)</span></div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  tempInvCovarianceMatrix[7] += dydA * dydB; <span class="comment">// (2,1)</span></div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  tempInvCovarianceMatrix[8] += dydB * dydB; <span class="comment">// (2,2)</span></div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  }</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> </div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  MeasureType SD = KWUtil::calcStandardDeviationArray<MeasureType>(nSamples, residuals);</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="keywordflow">if</span> (fabs(SD) < std::numeric_limits<MeasureType>::min())</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">return</span> 1; <span class="comment">//EXIT_FAILURE</span></div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < 3*3; ++i) {</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  tempInvCovarianceMatrix[i] = tempInvCovarianceMatrix[i] / (SD * SD);</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < 3*3; ++i) {</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  invCovarianceMatrix[i] = tempInvCovarianceMatrix[i];</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  }</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span> </div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span> 0; <span class="comment">// EXIT_SUCCESS</span></div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  }</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <span class="keyword">template</span>< <span class="keyword">typename</span> MeasureType ></div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keyword">const</span> MeasureType *</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <a class="code" href="class_ox_1_1_calculator_t1_molli.html#af0ec071b9742038460f2987d24182030">CalculatorT1Molli<MeasureType></a></div>
<div class="line"><a name="l00329"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#af0ec071b9742038460f2987d24182030"> 329</a></span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#af0ec071b9742038460f2987d24182030"> ::getInvTimes</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">if</span> (!this->_InvTimes) {</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"_InvTimes equals 0. Set _InvTimes"</span>);</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  };</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordflow">return</span> this->_InvTimes;</div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> </div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keyword">template</span><<span class="keyword">typename</span> MeasureType></div>
<div class="line"><a name="l00337"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#a06d8579492ee063b129b489e638333be"> 337</a></span>  <span class="keywordtype">bool</span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a06d8579492ee063b129b489e638333be">CalculatorT1Molli<MeasureType>::getDoCalculateSDMap</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">return</span> _DoCalculateSDMap;</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  }</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  <span class="keyword">template</span><<span class="keyword">typename</span> MeasureType></div>
<div class="line"><a name="l00342"></a><span class="lineno"><a class="line" href="class_ox_1_1_calculator_t1_molli.html#a65a51dcadaafdefc576201de535f8810"> 342</a></span>  <span class="keywordtype">void</span> <a class="code" href="class_ox_1_1_calculator_t1_molli.html#a65a51dcadaafdefc576201de535f8810">CalculatorT1Molli<MeasureType>::setDoCalculateSDMap</a>(<span class="keywordtype">bool</span> _DoCalculateSDMap) {</div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  CalculatorT1Molli::_DoCalculateSDMap = _DoCalculateSDMap;</div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  }</div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> </div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> </div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> } <span class="comment">//namespace Ox</span></div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="preprocessor">#endif //Tomato_OXCALCULATORT1MOLLI_HXX</span></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_a030582bca754a7b81febfae53fe0c10c"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#a030582bca754a7b81febfae53fe0c10c">Ox::CalculatorT1Molli::calculateCovarianceMatrix</a></div><div class="ttdeci">int calculateCovarianceMatrix(const MeasureType *parameters, MeasureType *covarianceMatrix)</div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:228</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_a65a51dcadaafdefc576201de535f8810"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#a65a51dcadaafdefc576201de535f8810">Ox::CalculatorT1Molli::setDoCalculateSDMap</a></div><div class="ttdeci">void setDoCalculateSDMap(bool _DoCalculateSDMap)</div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:342</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_a06d8579492ee063b129b489e638333be"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#a06d8579492ee063b129b489e638333be">Ox::CalculatorT1Molli::getDoCalculateSDMap</a></div><div class="ttdeci">bool getDoCalculateSDMap() const </div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:337</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_aec374fc512aa3b109138f0c16c53a171"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#aec374fc512aa3b109138f0c16c53a171">Ox::CalculatorT1Molli::calculateInvCovarianceMatrix</a></div><div class="ttdeci">int calculateInvCovarianceMatrix(const MeasureType *invTimes, const MeasureType *residuals, const MeasureType *parameters, MeasureType *invCovarianceMatrix)</div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:257</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_a6f15bc9c026305248c927d62748903bf"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#a6f15bc9c026305248c927d62748903bf">Ox::CalculatorT1Molli::calculate</a></div><div class="ttdeci">virtual int calculate()</div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:88</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_ac275f14715caf983839e13f89a87e8d1"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#ac275f14715caf983839e13f89a87e8d1">Ox::CalculatorT1Molli::calculateMolli</a></div><div class="ttdeci">virtual std::map< std::string, MeasureType > calculateMolli(int nSamples, const MeasureType *invTimes, MeasureType *signal, MeasureType *signs)</div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:113</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_af0ec071b9742038460f2987d24182030"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#af0ec071b9742038460f2987d24182030">Ox::CalculatorT1Molli::getInvTimes</a></div><div class="ttdeci">const MeasureType * getInvTimes() const </div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:329</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_a9c9238dd8a96e06d3e0a96810377b90b"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#a9c9238dd8a96e06d3e0a96810377b90b">Ox::CalculatorT1Molli::calculateR2AbsFromModel</a></div><div class="ttdeci">MeasureType calculateR2AbsFromModel(int nSamples, const MeasureType *invTimes, const MeasureType *signal, const MeasureType *parameters)</div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:206</div></div>
<div class="ttc" id="class_ox_1_1_calculator_t1_molli_html_a591ec9658fb5a3e4f48715057cf62b38"><div class="ttname"><a href="class_ox_1_1_calculator_t1_molli.html#a591ec9658fb5a3e4f48715057cf62b38">Ox::CalculatorT1Molli::prepareToCalculate</a></div><div class="ttdeci">virtual int prepareToCalculate()</div><div class="ttdef"><b>Definition:</b> OxCalculatorT1Molli.hxx:15</div></div>
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