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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#ifndef EIGEN_SPARSE_DOT_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_SPARSE_DOT_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen { </div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">typename</span> internal::traits<Derived>::Scalar</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> SparseMatrixBase<Derived>::dot(<span class="keyword">const</span> MatrixBase<OtherDerived>& other)<span class="keyword"> const</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)</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>  eigen_assert(size() == other.size());</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  eigen_assert(other.size()>0 && "you are using a non initialized vector");</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  typename Derived::InnerIterator i(derived(),0);</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  Scalar res(0);</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  while (i)</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  res += numext::conj(i.value()) * other.coeff(i.index());</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  ++i;</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>  <span class="keywordflow">return</span> res;</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> </div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">template</span><<span class="keyword">typename</span> OtherDerived></div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="keyword">typename</span> internal::traits<Derived>::Scalar</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> SparseMatrixBase<Derived>::dot(<span class="keyword">const</span> SparseMatrixBase<OtherDerived>& other)<span class="keyword"> const</span></div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  EIGEN_STATIC_ASSERT_VECTOR_ONLY(Derived)</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  EIGEN_STATIC_ASSERT_VECTOR_ONLY(OtherDerived)</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  EIGEN_STATIC_ASSERT_SAME_VECTOR_SIZE(Derived,OtherDerived)</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  EIGEN_STATIC_ASSERT((internal::is_same<Scalar, typename OtherDerived::Scalar>::value),</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  YOU_MIXED_DIFFERENT_NUMERIC_TYPES__YOU_NEED_TO_USE_THE_CAST_METHOD_OF_MATRIXBASE_TO_CAST_NUMERIC_TYPES_EXPLICITLY)</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>  eigen_assert(size() == other.size());</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  typedef typename Derived::Nested Nested;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  typedef typename OtherDerived::Nested OtherNested;</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  typedef typename internal::remove_all<Nested>::type NestedCleaned;</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  typedef typename internal::remove_all<OtherNested>::type OtherNestedCleaned;</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>  Nested nthis(derived());</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  OtherNested nother(other.derived());</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  typename NestedCleaned::InnerIterator i(nthis,0);</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  typename OtherNestedCleaned::InnerIterator j(nother,0);</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  Scalar res(0);</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  while (i && j)</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  {</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordflow">if</span> (i.index()==j.index())</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  res += numext::conj(i.value()) * j.value();</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  ++i; ++j;</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  }</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (i.index()<j.index())</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  ++i;</div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  ++j;</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>  <span class="keywordflow">return</span> res;</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> }</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span> </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">inline</span> <span class="keyword">typename</span> NumTraits<typename internal::traits<Derived>::Scalar>::Real</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span> SparseMatrixBase<Derived>::squaredNorm()<span class="keyword"> const</span></div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> numext::real((*this).cwiseAbs2().sum());</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> Derived></div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">inline</span> <span class="keyword">typename</span> NumTraits<typename internal::traits<Derived>::Scalar>::Real</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> SparseMatrixBase<Derived>::norm()<span class="keyword"> const</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">using</span> std::sqrt;</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">return</span> sqrt(squaredNorm());</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> </div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="keyword">template</span><<span class="keyword">typename</span> Derived></div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="keyword">inline</span> <span class="keyword">typename</span> NumTraits<typename internal::traits<Derived>::Scalar>::Real</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> SparseMatrixBase<Derived>::blueNorm()<span class="keyword"> const</span></div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">return</span> internal::blueNorm_impl(*<span class="keyword">this</span>);</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> } <span class="comment">// end namespace Eigen</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> <span class="preprocessor">#endif // EIGEN_SPARSE_DOT_H</span></div>
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