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<div class="title">armadillo-with-viennacl.cpp</div> </div>
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<div class="contents">
<p>This tutorial shows how data can be directly transferred from the <a href="http://arma.sourceforge.net/">Armadillo Library</a> to ViennaCL objects using the built-in convenience wrappers.</p>
<p>The first step is to include the necessary headers and activate the Armadillo convenience functions in ViennaCL: </p>
<div class="fragment"><div class="line"><span class="comment">// System headers</span></div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Armadillo headers (disable BLAS and LAPACK to avoid linking issues)</span></div>
<div class="line"><span class="preprocessor">#define ARMA_DONT_USE_BLAS</span></div>
<div class="line"><span class="preprocessor">#define ARMA_DONT_USE_LAPACK</span></div>
<div class="line"><span class="preprocessor">#include <armadillo></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// IMPORTANT: Must be set prior to any ViennaCL includes if you want to use ViennaCL algorithms on Armadillo objects</span></div>
<div class="line"><span class="preprocessor">#define VIENNACL_WITH_ARMADILLO 1</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">// ViennaCL includes</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="compressed__matrix_8hpp.html">viennacl/compressed_matrix.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">// Helper functions for this tutorial:</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector-io_8hpp.html">vector-io.hpp</a>"</span></div>
</div><!-- fragment --><p> The following function contains the main code for this tutorial. It consists of the following steps:</p>
<ul>
<li>Creates Armadillo matrices and vectors</li>
<li>Initializes them with data</li>
<li>Create ViennaCL objects</li>
<li>Copy them over to the respective ViennaCL objects</li>
<li>Compute matrix-vector products in both Armadillo and ViennaCL and compare results.</li>
</ul>
<div class="fragment"><div class="line"><span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><span class="keywordtype">void</span> run_tutorial()</div>
<div class="line">{</div>
<div class="line"> <span class="keyword">typedef</span> arma::SpMat<NumericT> ArmaSparseMatrix;</div>
<div class="line"> <span class="keyword">typedef</span> arma::Mat<NumericT> ArmaMatrix;</div>
<div class="line"> <span class="keyword">typedef</span> arma::Col<NumericT> ArmaVector;</div>
</div><!-- fragment --><p> Create and fill dense matrices from the Armadillo library: </p>
<div class="fragment"><div class="line">ArmaMatrix arma_densemat(6, 5);</div>
<div class="line">ArmaMatrix arma_densemat2(6, 5);</div>
<div class="line">arma_densemat(0,0) = 2.0; arma_densemat(0,1) = -1.0;</div>
<div class="line">arma_densemat(1,0) = -1.0; arma_densemat(1,1) = 2.0; arma_densemat(1,2) = -1.0;</div>
<div class="line">arma_densemat(2,1) = -1.0; arma_densemat(2,2) = -1.0; arma_densemat(2,3) = -1.0;</div>
<div class="line">arma_densemat(3,2) = -1.0; arma_densemat(3,3) = 2.0; arma_densemat(3,4) = -1.0;</div>
<div class="line"> arma_densemat(5,4) = -1.0; arma_densemat(4,4) = -1.0;</div>
</div><!-- fragment --><p> Create and fill sparse matrices from the Armadillo library: </p>
<div class="fragment"><div class="line">ArmaSparseMatrix arma_sparsemat(6, 5);</div>
<div class="line">ArmaSparseMatrix arma_sparsemat2(6, 5);</div>
<div class="line">arma_sparsemat(0,0) = 2.0; arma_sparsemat(0,1) = -1.0;</div>
<div class="line">arma_sparsemat(1,1) = 2.0; arma_sparsemat(1,2) = -1.0;</div>
<div class="line">arma_sparsemat(2,2) = -1.0; arma_sparsemat(2,3) = -1.0;</div>
<div class="line">arma_sparsemat(3,3) = 2.0; arma_sparsemat(3,4) = -1.0;</div>
<div class="line">arma_sparsemat(5,4) = -1.0;</div>
</div><!-- fragment --><p> Create and fill a few vectors from the Armadillo library: </p>
<div class="fragment"><div class="line">ArmaVector arma_rhs(5);</div>
<div class="line">ArmaVector arma_result(6);</div>
<div class="line">ArmaVector arma_temp(6);</div>
<div class="line"></div>
<div class="line">arma_rhs(0) = 10.0;</div>
<div class="line">arma_rhs(1) = 11.0;</div>
<div class="line">arma_rhs(2) = 12.0;</div>
<div class="line">arma_rhs(3) = 13.0;</div>
<div class="line">arma_rhs(4) = 14.0;</div>
</div><!-- fragment --><p> Create the corresponding ViennaCL objects: </p>
<div class="fragment"><div class="line"><a name="_a0"></a><a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> vcl_rhs(5);</div>
<div class="line"><a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> vcl_result(6);</div>
<div class="line"><a name="_a1"></a><a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<NumericT></a> vcl_densemat(6, 5);</div>
<div class="line"><a name="_a2"></a><a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> vcl_sparsemat(6, 5);</div>
</div><!-- fragment --><p> Directly copy the Armadillo objects to ViennaCL objects </p>
<div class="fragment"><div class="line"><a name="a3"></a><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_rhs.memptr(), arma_rhs.memptr() + arma_rhs.n_elem, vcl_rhs.begin()); <span class="comment">//method 1: via iterator interface (cf. std::copy())</span></div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_rhs, vcl_rhs); <span class="comment">//method 2: via built-in wrappers (convenience layer)</span></div>
<div class="line"></div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_densemat, vcl_densemat);</div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_sparsemat, vcl_sparsemat);</div>
<div class="line">std::cout << <span class="stringliteral">"VCL sparsematrix dimensions: "</span> << vcl_sparsemat.size1() << <span class="stringliteral">", "</span> << vcl_sparsemat.size2() << std::endl;</div>
<div class="line"></div>
<div class="line"><span class="comment">// For completeness: Copy matrices from ViennaCL back to Eigen:</span></div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_densemat, arma_densemat2);</div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_sparsemat, arma_sparsemat2);</div>
</div><!-- fragment --><p> Run dense matrix-vector products and compare results: </p>
<div class="fragment"><div class="line">arma_result = arma_densemat * arma_rhs;</div>
<div class="line">vcl_result = <a name="a4"></a><a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_densemat, vcl_rhs);</div>
<div class="line"><a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_result, arma_temp);</div>
<div class="line">std::cout << <span class="stringliteral">"Difference for dense matrix-vector product: "</span> << norm(arma_result - arma_temp) << std::endl;</div>
<div class="line">std::cout << <span class="stringliteral">"Difference for dense matrix-vector product (Armadillo -> ViennaCL -> Armadillo): "</span></div>
<div class="line"> << norm(arma_densemat2 * arma_rhs - arma_temp) << std::endl;</div>
</div><!-- fragment --><p> Run sparse matrix-vector products and compare results: </p>
<div class="fragment"><div class="line"> arma_result = arma_sparsemat * arma_rhs;</div>
<div class="line"> vcl_result = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_sparsemat, vcl_rhs);</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_result, arma_temp);</div>
<div class="line"> std::cout << <span class="stringliteral">"Difference for sparse matrix-vector product: "</span> << norm(arma_result - arma_temp) << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"Difference for sparse matrix-vector product (Armadillo -> ViennaCL -> Armadillo): "</span></div>
<div class="line"> << norm(arma_sparsemat2 * arma_rhs - arma_temp) << std::endl;</div>
<div class="line">}</div>
</div><!-- fragment --><p> In the <a class="el" href="tests_2src_2bisect_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a> routine we only call the worker function defined above with both single and double precision arithmetic. </p>
<div class="fragment"><div class="line"><span class="keywordtype">int</span> <a name="a5"></a><a class="code" href="tests_2src_2bisect_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>(<span class="keywordtype">int</span>, <span class="keywordtype">char</span> *[])</div>
<div class="line">{</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"## Single precision"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> run_tutorial<float>();</div>
<div class="line"></div>
<div class="line"><span class="preprocessor">#ifdef VIENNACL_HAVE_OPENCL</span></div>
<div class="line"> <span class="keywordflow">if</span> ( <a name="a6"></a><a class="code" href="namespaceviennacl_1_1ocl.html#ac54d59a74deaccec81f64e738b856348">viennacl::ocl::current_device</a>().<a name="a7"></a><a class="code" href="classviennacl_1_1ocl_1_1device.html#a5182025f56c76de6770e26b14165b00a">double_support</a>() )</div>
<div class="line">#endif</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"## Double precision"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> run_tutorial<double>();</div>
<div class="line"> }</div>
</div><!-- fragment --><p> That's it. Print a success message and exit. </p>
<div class="fragment"><div class="line"> std::cout << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!"</span> << std::endl;</div>
<div class="line"> std::cout << std::endl;</div>
<div class="line"></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"><span class="comment">// System headers</span></div>
<div class="line"><span class="preprocessor">#include <iostream></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// Armadillo headers (disable BLAS and LAPACK to avoid linking issues)</span></div>
<div class="line"><span class="preprocessor">#define ARMA_DONT_USE_BLAS</span></div>
<div class="line"><span class="preprocessor">#define ARMA_DONT_USE_LAPACK</span></div>
<div class="line"><span class="preprocessor">#include <armadillo></span></div>
<div class="line"></div>
<div class="line"><span class="comment">// IMPORTANT: Must be set prior to any ViennaCL includes if you want to use ViennaCL algorithms on Armadillo objects</span></div>
<div class="line"><span class="preprocessor">#define VIENNACL_WITH_ARMADILLO 1</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">// ViennaCL includes</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="compressed__matrix_8hpp.html">viennacl/compressed_matrix.hpp</a>"</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="prod_8hpp.html">viennacl/linalg/prod.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="comment">// Helper functions for this tutorial:</span></div>
<div class="line"><span class="preprocessor">#include "<a class="code" href="vector-io_8hpp.html">vector-io.hpp</a>"</span></div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><span class="keywordtype">void</span> run_tutorial()</div>
<div class="line">{</div>
<div class="line"> <span class="keyword">typedef</span> arma::SpMat<NumericT> ArmaSparseMatrix;</div>
<div class="line"> <span class="keyword">typedef</span> arma::Mat<NumericT> ArmaMatrix;</div>
<div class="line"> <span class="keyword">typedef</span> arma::Col<NumericT> ArmaVector;</div>
<div class="line"></div>
<div class="line"> ArmaMatrix arma_densemat(6, 5);</div>
<div class="line"> ArmaMatrix arma_densemat2(6, 5);</div>
<div class="line"> arma_densemat(0,0) = 2.0; arma_densemat(0,1) = -1.0;</div>
<div class="line"> arma_densemat(1,0) = -1.0; arma_densemat(1,1) = 2.0; arma_densemat(1,2) = -1.0;</div>
<div class="line"> arma_densemat(2,1) = -1.0; arma_densemat(2,2) = -1.0; arma_densemat(2,3) = -1.0;</div>
<div class="line"> arma_densemat(3,2) = -1.0; arma_densemat(3,3) = 2.0; arma_densemat(3,4) = -1.0;</div>
<div class="line"> arma_densemat(5,4) = -1.0; arma_densemat(4,4) = -1.0;</div>
<div class="line"></div>
<div class="line"> ArmaSparseMatrix arma_sparsemat(6, 5);</div>
<div class="line"> ArmaSparseMatrix arma_sparsemat2(6, 5);</div>
<div class="line"> arma_sparsemat(0,0) = 2.0; arma_sparsemat(0,1) = -1.0;</div>
<div class="line"> arma_sparsemat(1,1) = 2.0; arma_sparsemat(1,2) = -1.0;</div>
<div class="line"> arma_sparsemat(2,2) = -1.0; arma_sparsemat(2,3) = -1.0;</div>
<div class="line"> arma_sparsemat(3,3) = 2.0; arma_sparsemat(3,4) = -1.0;</div>
<div class="line"> arma_sparsemat(5,4) = -1.0;</div>
<div class="line"></div>
<div class="line"> ArmaVector arma_rhs(5);</div>
<div class="line"> ArmaVector arma_result(6);</div>
<div class="line"> ArmaVector arma_temp(6);</div>
<div class="line"></div>
<div class="line"> arma_rhs(0) = 10.0;</div>
<div class="line"> arma_rhs(1) = 11.0;</div>
<div class="line"> arma_rhs(2) = 12.0;</div>
<div class="line"> arma_rhs(3) = 13.0;</div>
<div class="line"> arma_rhs(4) = 14.0;</div>
<div class="line"></div>
<div class="line"></div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> vcl_rhs(5);</div>
<div class="line"> <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT></a> vcl_result(6);</div>
<div class="line"> <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<NumericT></a> vcl_densemat(6, 5);</div>
<div class="line"> <a class="code" href="classviennacl_1_1compressed__matrix.html">viennacl::compressed_matrix<NumericT></a> vcl_sparsemat(6, 5);</div>
<div class="line"></div>
<div class="line"></div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_rhs.memptr(), arma_rhs.memptr() + arma_rhs.n_elem, vcl_rhs.<a name="a8"></a><a class="code" href="classviennacl_1_1vector__base.html#a762d98e2f912fc534951f25555b6077f">begin</a>()); <span class="comment">//method 1: via iterator interface (cf. std::copy())</span></div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_rhs, vcl_rhs); <span class="comment">//method 2: via built-in wrappers (convenience layer)</span></div>
<div class="line"></div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_densemat, vcl_densemat);</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(arma_sparsemat, vcl_sparsemat);</div>
<div class="line"> std::cout << <span class="stringliteral">"VCL sparsematrix dimensions: "</span> << vcl_sparsemat.<a name="a9"></a><a class="code" href="classviennacl_1_1compressed__matrix.html#a463cf1739f9cdd387aa185cb574db183">size1</a>() << <span class="stringliteral">", "</span> << vcl_sparsemat.<a name="a10"></a><a class="code" href="classviennacl_1_1compressed__matrix.html#a4fc12fc4abfef4a1426575a2d73f18ab">size2</a>() << std::endl;</div>
<div class="line"></div>
<div class="line"> <span class="comment">// For completeness: Copy matrices from ViennaCL back to Eigen:</span></div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_densemat, arma_densemat2);</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_sparsemat, arma_sparsemat2);</div>
<div class="line"></div>
<div class="line"></div>
<div class="line"> arma_result = arma_densemat * arma_rhs;</div>
<div class="line"> vcl_result = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_densemat, vcl_rhs);</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_result, arma_temp);</div>
<div class="line"> std::cout << <span class="stringliteral">"Difference for dense matrix-vector product: "</span> << norm(arma_result - arma_temp) << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"Difference for dense matrix-vector product (Armadillo -> ViennaCL -> Armadillo): "</span></div>
<div class="line"> << norm(arma_densemat2 * arma_rhs - arma_temp) << std::endl;</div>
<div class="line"></div>
<div class="line"> arma_result = arma_sparsemat * arma_rhs;</div>
<div class="line"> vcl_result = <a class="code" href="namespaceviennacl_1_1linalg.html#aa18d10f8a90e38bd9ff43c650fc670ef">viennacl::linalg::prod</a>(vcl_sparsemat, vcl_rhs);</div>
<div class="line"> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a>(vcl_result, arma_temp);</div>
<div class="line"> std::cout << <span class="stringliteral">"Difference for sparse matrix-vector product: "</span> << norm(arma_result - arma_temp) << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"Difference for sparse matrix-vector product (Armadillo -> ViennaCL -> Armadillo): "</span></div>
<div class="line"> << norm(arma_sparsemat2 * arma_rhs - arma_temp) << std::endl;</div>
<div class="line">}</div>
<div class="line"></div>
<div class="line"></div>
<div class="line"><span class="keywordtype">int</span> <a class="code" href="tests_2src_2bisect_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>(<span class="keywordtype">int</span>, <span class="keywordtype">char</span> *[])</div>
<div class="line">{</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"## Single precision"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> run_tutorial<float>();</div>
<div class="line"></div>
<div class="line"><span class="preprocessor">#ifdef VIENNACL_HAVE_OPENCL</span></div>
<div class="line"> <span class="keywordflow">if</span> ( <a class="code" href="namespaceviennacl_1_1ocl.html#ac54d59a74deaccec81f64e738b856348">viennacl::ocl::current_device</a>().<a class="code" href="classviennacl_1_1ocl_1_1device.html#a5182025f56c76de6770e26b14165b00a">double_support</a>() )</div>
<div class="line">#endif</div>
<div class="line"> {</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"## Double precision"</span> << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"----------------------------------------------"</span> << std::endl;</div>
<div class="line"> run_tutorial<double>();</div>
<div class="line"> }</div>
<div class="line"></div>
<div class="line"> std::cout << std::endl;</div>
<div class="line"> std::cout << <span class="stringliteral">"!!!! TUTORIAL COMPLETED SUCCESSFULLY !!!!"</span> << std::endl;</div>
<div class="line"> std::cout << std::endl;</div>
<div class="line"></div>
<div class="line">}</div>
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