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<div class="title">qr.cpp</div>  </div>
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<div class="contents">
<p>This tutorial shows how the QR factorization of matrices from ViennaCL or Boost.uBLAS can be computed.</p>
<div class="fragment"><div class="line"><span class="comment">// Activate ublas support in ViennaCL</span></div>
<div class="line"><span class="preprocessor">#define VIENNACL_WITH_UBLAS</span></div>
<div class="line"></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="comment">// Include necessary system headers</span></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="preprocessor">#include &lt;iostream&gt;</span></div>
<div class="line"></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="comment">// ViennaCL includes</span></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="preprocessor">#include &quot;<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>&quot;</span></div>
<div class="line"><span class="preprocessor">#include &quot;<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>&quot;</span></div>
<div class="line"><span class="preprocessor">#include &quot;<a class="code" href="qr_8hpp.html">viennacl/linalg/qr.hpp</a>&quot;</span></div>
<div class="line"></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="comment">// Boost includes</span></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="preprocessor">#include &lt;boost/numeric/ublas/vector.hpp&gt;</span></div>
<div class="line"><span class="preprocessor">#include &lt;boost/numeric/ublas/matrix.hpp&gt;</span></div>
<div class="line"><span class="preprocessor">#include &lt;boost/numeric/ublas/io.hpp&gt;</span></div>
</div><!-- fragment --><p> A helper function comparing two matrices and returning the maximum entry-wise relative error encountered. </p>
<div class="fragment"><div class="line"><span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType&gt;</div>
<div class="line"><span class="keywordtype">double</span> <a name="a0"></a><a class="code" href="libviennacl__blas1_8cpp.html#ade615bbf93f6f668af70fb8e6b427d17">check</a>(MatrixType <span class="keyword">const</span> &amp; qr, MatrixType <span class="keyword">const</span> &amp; ref)</div>
<div class="line">{</div>
<div class="line">  <span class="keywordtype">bool</span> do_break = <span class="keyword">false</span>;</div>
<div class="line">  <span class="keywordtype">double</span> max_error = 0;</div>
<div class="line">  <span class="keywordflow">for</span> (std::size_t i=0; i&lt;ref.size1(); ++i)</div>
<div class="line">  {</div>
<div class="line">    <span class="keywordflow">for</span> (std::size_t j=0; j&lt;ref.size2(); ++j)</div>
<div class="line">    {</div>
<div class="line">      <span class="keywordflow">if</span> (qr(i,j) != 0.0 &amp;&amp; ref(i,j) != 0.0)</div>
<div class="line">      {</div>
<div class="line">        <span class="keywordtype">double</span> rel_err = fabs(qr(i,j) - ref(i,j)) / fabs(ref(i,j) );</div>
<div class="line"></div>
<div class="line">        <span class="keywordflow">if</span> (rel_err &gt; max_error)</div>
<div class="line">          max_error = rel_err;</div>
<div class="line">      }</div>
<div class="line"></div>
<div class="line"></div>
<div class="line">      <span class="comment">/* Uncomment the following if you also want to check for NaNs.</span></div>
<div class="line"><span class="comment">      if (qr(i,j) != qr(i,j))</span></div>
<div class="line"><span class="comment">      {</span></div>
<div class="line"><span class="comment">        std::cout &lt;&lt; &quot;!!!&quot; &lt;&lt; std::endl;</span></div>
<div class="line"><span class="comment">        std::cout &lt;&lt; &quot;!!! NaN detected at i=&quot; &lt;&lt; i &lt;&lt; &quot; and j=&quot; &lt;&lt; j &lt;&lt; std::endl;</span></div>
<div class="line"><span class="comment">        std::cout &lt;&lt; &quot;!!!&quot; &lt;&lt; std::endl;</span></div>
<div class="line"><span class="comment">        do_break = true;</span></div>
<div class="line"><span class="comment">        break;</span></div>
<div class="line"><span class="comment">      }*/</span></div>
<div class="line">    }</div>
<div class="line">    <span class="keywordflow">if</span> (do_break)</div>
<div class="line">      <span class="keywordflow">break</span>;</div>
<div class="line">  }</div>
<div class="line">  <span class="keywordflow">return</span> max_error;</div>
<div class="line">}</div>
</div><!-- fragment --><p> We set up a random matrix using Boost.uBLAS and use it to initialize a ViennaCL matrix. Then we compute the QR factorization directly for the uBLAS matrix as well as the ViennaCL matrix. </p>
<div class="fragment"><div class="line"><span class="keywordtype">int</span> <a name="a1"></a><a class="code" href="benchmarks_2qr_8cpp.html#ac0f2228420376f4db7e1274f2b41667c">main</a> (<span class="keywordtype">int</span>, <span class="keyword">const</span> <span class="keywordtype">char</span> **)</div>
<div class="line">{</div>
<div class="line">  <span class="keyword">typedef</span> <span class="keywordtype">double</span>               <a name="a2"></a><a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>;     <span class="comment">//feel free to change this to &#39;double&#39; if supported by your hardware</span></div>
<div class="line">  <span class="keyword">typedef</span> boost::numeric::ublas::matrix&lt;ScalarType&gt;              MatrixType;</div>
<div class="line">  <span class="keyword">typedef</span> <a name="_a3"></a><a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix&lt;ScalarType, viennacl::column_major&gt;</a>   VCLMatrixType;</div>
<div class="line"></div>
<div class="line">  std::size_t rows = 113;   <span class="comment">// number of rows in the matrix</span></div>
<div class="line">  std::size_t cols = 54;    <span class="comment">// number of columns</span></div>
</div><!-- fragment --><p> Create uBLAS matrices with some random input data. </p>
<div class="fragment"><div class="line">MatrixType ublas_A(rows, cols);</div>
<div class="line">MatrixType Q(rows, rows);</div>
<div class="line">MatrixType R(rows, cols);</div>
<div class="line"></div>
<div class="line"><span class="comment">// Some random data with a bit of extra weight on the diagonal</span></div>
<div class="line"><span class="keywordflow">for</span> (std::size_t i=0; i&lt;rows; ++i)</div>
<div class="line">{</div>
<div class="line">  <span class="keywordflow">for</span> (std::size_t j=0; j&lt;cols; ++j)</div>
<div class="line">  {</div>
<div class="line">    ublas_A(i,j) = <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(-1.0) + <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>((i+1)*(j+1))</div>
<div class="line">                   + <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>( (rand() % 1000) - 500.0) / <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(1000.0);</div>
<div class="line"></div>
<div class="line">    <span class="keywordflow">if</span> (i == j)</div>
<div class="line">      ublas_A(i,j) += <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(10.0);</div>
<div class="line"></div>
<div class="line">    R(i,j) = 0.0;</div>
<div class="line">  }</div>
<div class="line"></div>
<div class="line">  <span class="keywordflow">for</span> (std::size_t j=0; j&lt;rows; ++j)</div>
<div class="line">    Q(i,j) = <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(0.0);</div>
<div class="line">}</div>
<div class="line"></div>
<div class="line"><span class="comment">// keep initial input matrix for comparison</span></div>
<div class="line">MatrixType ublas_A_backup(ublas_A);</div>
</div><!-- fragment --><p> Setup the matrix in ViennaCL and copy the data from the uBLAS matrix: </p>
<div class="fragment"><div class="line">VCLMatrixType vcl_A(ublas_A.size1(), ublas_A.size2());</div>
<div class="line"></div>
<div class="line"><a name="a4"></a><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(ublas_A, vcl_A);</div>
</div><!-- fragment --> <h2>QR Factorization with Boost.uBLAS Matrices</h2>
<p>Compute QR factorization of A. A is overwritten with Householder vectors. Coefficients are returned and a block size of 3 is used. Note that at the moment the number of columns of A must be divisible by the block size </p>
<div class="fragment"><div class="line">std::cout &lt;&lt; <span class="stringliteral">&quot;--- Boost.uBLAS ---&quot;</span> &lt;&lt; std::endl;</div>
<div class="line">std::vector&lt;ScalarType&gt; ublas_betas = <a name="a5"></a><a class="code" href="namespaceviennacl_1_1linalg.html#a83f573386903bae3a5379ab4cbfc5e2d">viennacl::linalg::inplace_qr</a>(ublas_A);  <span class="comment">//computes the QR factorization</span></div>
</div><!-- fragment --><p> Let us check for the correct result: </p>
<div class="fragment"><div class="line"><a name="a6"></a><a class="code" href="namespaceviennacl_1_1linalg.html#a76fc8bf8f5a20c576b7ddbad32d3e56d">viennacl::linalg::recoverQ</a>(ublas_A, ublas_betas, Q, R);</div>
<div class="line">MatrixType ublas_QR = <a name="a7"></a><a class="code" href="sparse__prod_8cpp.html#a2c8637b3d6a972d1d8fd85fb3089c6da">prod</a>(Q, R);</div>
<div class="line"><span class="keywordtype">double</span> ublas_error = <a class="code" href="libviennacl__blas1_8cpp.html#ade615bbf93f6f668af70fb8e6b427d17">check</a>(ublas_QR, ublas_A_backup);</div>
<div class="line">std::cout &lt;&lt; <span class="stringliteral">&quot;Maximum relative error (ublas): &quot;</span> &lt;&lt; ublas_error &lt;&lt; std::endl;</div>
</div><!-- fragment --> <h2>QR Factorization with Boost.uBLAS Matrices</h2>
<p>We now compute the QR factorization from a ViennaCL matrix. Internally it uses Boost.uBLAS for the panel factorization. </p>
<div class="fragment"><div class="line">std::cout &lt;&lt; <span class="stringliteral">&quot;--- Hybrid (default) ---&quot;</span> &lt;&lt; std::endl;</div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(ublas_A_backup, vcl_A);</div>
<div class="line">std::vector&lt;ScalarType&gt; <a name="a8"></a><a class="code" href="least-squares_8cpp.html#ac887df28e24b43a0bda14bd218659c78">hybrid_betas</a> = <a class="code" href="namespaceviennacl_1_1linalg.html#a83f573386903bae3a5379ab4cbfc5e2d">viennacl::linalg::inplace_qr</a>(vcl_A);</div>
</div><!-- fragment --><p> Let us check for the correct result: </p>
<div class="fragment"><div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_A, ublas_A);</div>
<div class="line">Q.clear(); R.clear();</div>
<div class="line"><a class="code" href="namespaceviennacl_1_1linalg.html#a76fc8bf8f5a20c576b7ddbad32d3e56d">viennacl::linalg::recoverQ</a>(ublas_A, hybrid_betas, Q, R);</div>
<div class="line"><span class="keywordtype">double</span> hybrid_error = <a class="code" href="libviennacl__blas1_8cpp.html#ade615bbf93f6f668af70fb8e6b427d17">check</a>(ublas_QR, ublas_A_backup);</div>
<div class="line">std::cout &lt;&lt; <span class="stringliteral">&quot;Maximum relative error (hybrid): &quot;</span> &lt;&lt; hybrid_error &lt;&lt; std::endl;</div>
</div><!-- fragment --><p> That's it. Print a success message and exit. </p>
<div class="fragment"><div class="line">  std::cout &lt;&lt; <span class="stringliteral">&quot;!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!&quot;</span> &lt;&lt; std::endl;</div>
<div class="line"></div>
<div class="line">  <span class="keywordflow">return</span> EXIT_SUCCESS;</div>
<div class="line">}</div>
</div><!-- fragment --> <h2>Full Example Code</h2>
<div class="fragment"><div class="line"><span class="comment">/* =========================================================================</span></div>
<div class="line"><span class="comment">   Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><span class="comment">                            Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><span class="comment">                            TU Wien.</span></div>
<div class="line"><span class="comment">   Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment">                            -----------------</span></div>
<div class="line"><span class="comment">                  ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><span class="comment">                            -----------------</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment">   Project Head:    Karl Rupp                   rupp@iue.tuwien.ac.at</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment">   (A list of authors and contributors can be found in the PDF manual)</span></div>
<div class="line"><span class="comment"></span></div>
<div class="line"><span class="comment">   License:         MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><span class="comment">============================================================================= */</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">// Activate ublas support in ViennaCL</span></div>
<div class="line"><span class="preprocessor">#define VIENNACL_WITH_UBLAS</span></div>
<div class="line"></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="comment">// Include necessary system headers</span></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="preprocessor">#include &lt;iostream&gt;</span></div>
<div class="line"></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="comment">// ViennaCL includes</span></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="preprocessor">#include &quot;<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>&quot;</span></div>
<div class="line"><span class="preprocessor">#include &quot;<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>&quot;</span></div>
<div class="line"><span class="preprocessor">#include &quot;<a class="code" href="qr_8hpp.html">viennacl/linalg/qr.hpp</a>&quot;</span></div>
<div class="line"></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="comment">// Boost includes</span></div>
<div class="line"><span class="comment">//</span></div>
<div class="line"><span class="preprocessor">#include &lt;boost/numeric/ublas/vector.hpp&gt;</span></div>
<div class="line"><span class="preprocessor">#include &lt;boost/numeric/ublas/matrix.hpp&gt;</span></div>
<div class="line"><span class="preprocessor">#include &lt;boost/numeric/ublas/io.hpp&gt;</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="keyword">template</span>&lt;<span class="keyword">typename</span> MatrixType&gt;</div>
<div class="line"><span class="keywordtype">double</span> <a class="code" href="libviennacl__blas1_8cpp.html#ade615bbf93f6f668af70fb8e6b427d17">check</a>(MatrixType <span class="keyword">const</span> &amp; qr, MatrixType <span class="keyword">const</span> &amp; ref)</div>
<div class="line">{</div>
<div class="line">  <span class="keywordtype">bool</span> do_break = <span class="keyword">false</span>;</div>
<div class="line">  <span class="keywordtype">double</span> max_error = 0;</div>
<div class="line">  <span class="keywordflow">for</span> (std::size_t i=0; i&lt;ref.size1(); ++i)</div>
<div class="line">  {</div>
<div class="line">    <span class="keywordflow">for</span> (std::size_t j=0; j&lt;ref.size2(); ++j)</div>
<div class="line">    {</div>
<div class="line">      <span class="keywordflow">if</span> (qr(i,j) != 0.0 &amp;&amp; ref(i,j) != 0.0)</div>
<div class="line">      {</div>
<div class="line">        <span class="keywordtype">double</span> rel_err = fabs(qr(i,j) - ref(i,j)) / fabs(ref(i,j) );</div>
<div class="line"></div>
<div class="line">        <span class="keywordflow">if</span> (rel_err &gt; max_error)</div>
<div class="line">          max_error = rel_err;</div>
<div class="line">      }</div>
<div class="line"></div>
<div class="line"></div>
<div class="line">      <span class="comment">/* Uncomment the following if you also want to check for NaNs.</span></div>
<div class="line"><span class="comment">      if (qr(i,j) != qr(i,j))</span></div>
<div class="line"><span class="comment">      {</span></div>
<div class="line"><span class="comment">        std::cout &lt;&lt; &quot;!!!&quot; &lt;&lt; std::endl;</span></div>
<div class="line"><span class="comment">        std::cout &lt;&lt; &quot;!!! NaN detected at i=&quot; &lt;&lt; i &lt;&lt; &quot; and j=&quot; &lt;&lt; j &lt;&lt; std::endl;</span></div>
<div class="line"><span class="comment">        std::cout &lt;&lt; &quot;!!!&quot; &lt;&lt; std::endl;</span></div>
<div class="line"><span class="comment">        do_break = true;</span></div>
<div class="line"><span class="comment">        break;</span></div>
<div class="line"><span class="comment">      }*/</span></div>
<div class="line">    }</div>
<div class="line">    <span class="keywordflow">if</span> (do_break)</div>
<div class="line">      <span class="keywordflow">break</span>;</div>
<div class="line">  }</div>
<div class="line">  <span class="keywordflow">return</span> max_error;</div>
<div class="line">}</div>
<div class="line"></div>
<div class="line"><span class="keywordtype">int</span> <a class="code" href="benchmarks_2qr_8cpp.html#ac0f2228420376f4db7e1274f2b41667c">main</a> (<span class="keywordtype">int</span>, <span class="keyword">const</span> <span class="keywordtype">char</span> **)</div>
<div class="line">{</div>
<div class="line">  <span class="keyword">typedef</span> <span class="keywordtype">double</span>               <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>;     <span class="comment">//feel free to change this to &#39;double&#39; if supported by your hardware</span></div>
<div class="line">  <span class="keyword">typedef</span> boost::numeric::ublas::matrix&lt;ScalarType&gt;              MatrixType;</div>
<div class="line">  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix&lt;ScalarType, viennacl::column_major&gt;</a>   VCLMatrixType;</div>
<div class="line"></div>
<div class="line">  std::size_t rows = 113;   <span class="comment">// number of rows in the matrix</span></div>
<div class="line">  std::size_t cols = 54;    <span class="comment">// number of columns</span></div>
<div class="line"></div>
<div class="line">  MatrixType ublas_A(rows, cols);</div>
<div class="line">  MatrixType Q(rows, rows);</div>
<div class="line">  MatrixType R(rows, cols);</div>
<div class="line"></div>
<div class="line">  <span class="comment">// Some random data with a bit of extra weight on the diagonal</span></div>
<div class="line">  <span class="keywordflow">for</span> (std::size_t i=0; i&lt;rows; ++i)</div>
<div class="line">  {</div>
<div class="line">    <span class="keywordflow">for</span> (std::size_t j=0; j&lt;cols; ++j)</div>
<div class="line">    {</div>
<div class="line">      ublas_A(i,j) = <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(-1.0) + <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>((i+1)*(j+1))</div>
<div class="line">                     + <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>( (rand() % 1000) - 500.0) / <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(1000.0);</div>
<div class="line"></div>
<div class="line">      <span class="keywordflow">if</span> (i == j)</div>
<div class="line">        ublas_A(i,j) += <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(10.0);</div>
<div class="line"></div>
<div class="line">      R(i,j) = 0.0;</div>
<div class="line">    }</div>
<div class="line"></div>
<div class="line">    <span class="keywordflow">for</span> (std::size_t j=0; j&lt;rows; ++j)</div>
<div class="line">      Q(i,j) = <a class="code" href="fft__1d_8cpp.html#ad5c19ca4f47d3f8ec21232a5af2624e5">ScalarType</a>(0.0);</div>
<div class="line">  }</div>
<div class="line"></div>
<div class="line">  <span class="comment">// keep initial input matrix for comparison</span></div>
<div class="line">  MatrixType ublas_A_backup(ublas_A);</div>
<div class="line"></div>
<div class="line"></div>
<div class="line">  VCLMatrixType vcl_A(ublas_A.size1(), ublas_A.size2());</div>
<div class="line"></div>
<div class="line">  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(ublas_A, vcl_A);</div>
<div class="line"></div>
<div class="line">  std::cout &lt;&lt; <span class="stringliteral">&quot;--- Boost.uBLAS ---&quot;</span> &lt;&lt; std::endl;</div>
<div class="line">  std::vector&lt;ScalarType&gt; ublas_betas = <a class="code" href="namespaceviennacl_1_1linalg.html#a83f573386903bae3a5379ab4cbfc5e2d">viennacl::linalg::inplace_qr</a>(ublas_A);  <span class="comment">//computes the QR factorization</span></div>
<div class="line"></div>
<div class="line">  <a class="code" href="namespaceviennacl_1_1linalg.html#a76fc8bf8f5a20c576b7ddbad32d3e56d">viennacl::linalg::recoverQ</a>(ublas_A, ublas_betas, Q, R);</div>
<div class="line">  MatrixType ublas_QR = <a class="code" href="sparse__prod_8cpp.html#a2c8637b3d6a972d1d8fd85fb3089c6da">prod</a>(Q, R);</div>
<div class="line">  <span class="keywordtype">double</span> ublas_error = <a class="code" href="libviennacl__blas1_8cpp.html#ade615bbf93f6f668af70fb8e6b427d17">check</a>(ublas_QR, ublas_A_backup);</div>
<div class="line">  std::cout &lt;&lt; <span class="stringliteral">&quot;Maximum relative error (ublas): &quot;</span> &lt;&lt; ublas_error &lt;&lt; std::endl;</div>
<div class="line"></div>
<div class="line">  std::cout &lt;&lt; <span class="stringliteral">&quot;--- Hybrid (default) ---&quot;</span> &lt;&lt; std::endl;</div>
<div class="line">  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(ublas_A_backup, vcl_A);</div>
<div class="line">  std::vector&lt;ScalarType&gt; hybrid_betas = <a class="code" href="namespaceviennacl_1_1linalg.html#a83f573386903bae3a5379ab4cbfc5e2d">viennacl::linalg::inplace_qr</a>(vcl_A);</div>
<div class="line"></div>
<div class="line">  <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_A, ublas_A);</div>
<div class="line">  Q.clear(); R.clear();</div>
<div class="line">  <a class="code" href="namespaceviennacl_1_1linalg.html#a76fc8bf8f5a20c576b7ddbad32d3e56d">viennacl::linalg::recoverQ</a>(ublas_A, hybrid_betas, Q, R);</div>
<div class="line">  <span class="keywordtype">double</span> hybrid_error = <a class="code" href="libviennacl__blas1_8cpp.html#ade615bbf93f6f668af70fb8e6b427d17">check</a>(ublas_QR, ublas_A_backup);</div>
<div class="line">  std::cout &lt;&lt; <span class="stringliteral">&quot;Maximum relative error (hybrid): &quot;</span> &lt;&lt; hybrid_error &lt;&lt; std::endl;</div>
<div class="line"></div>
<div class="line"></div>
<div class="line">  std::cout &lt;&lt; <span class="stringliteral">&quot;!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!&quot;</span> &lt;&lt; std::endl;</div>
<div class="line"></div>
<div class="line">  <span class="keywordflow">return</span> EXIT_SUCCESS;</div>
<div class="line">}</div>
<div class="line"></div>
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