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<div id="projectbrief">Set of algorithms implemented in C.</div>
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<div class="headertitle"><div class="title">numerical_methods Directory Reference</div></div>
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Files</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="da/d4a/bisection__method_8c.html">bisection_method.c</a></td></tr>
<tr class="memdesc:da/d4a/bisection__method_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">In mathematics, the <a href="https://en.wikipedia.org/wiki/Bisection_method" target="_blank">Bisection Method</a> is a root-finding method that applies to any continuous function for which one knows two values with opposite signs. <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="da/d38/durand__kerner__roots_8c.html">durand_kerner_roots.c</a></td></tr>
<tr class="memdesc:da/d38/durand__kerner__roots_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute all possible approximate roots of any given polynomial using <a href="https://en.wikipedia.org/wiki/Durand%E2%80%93Kerner_method" target="_blank">Durand Kerner algorithm</a> <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dc/d2e/lu__decompose_8c.html">lu_decompose.c</a></td></tr>
<tr class="memdesc:dc/d2e/lu__decompose_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a href="https://en.wikipedia.org/wiki/LU_decompositon" target="_blank">LU decomposition</a> of a square matrix <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dd/d08/newton__raphson__root_8c.html">newton_raphson_root.c</a></td></tr>
<tr class="memdesc:dd/d08/newton__raphson__root_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Find approximate solution for \(f(x) = 0\) using Newton-Raphson interpolation algorithm. <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="d4/d07/ode__forward__euler_8c.html">ode_forward_euler.c</a></td></tr>
<tr class="memdesc:d4/d07/ode__forward__euler_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Solve a multivariable first order <a href="https://en.wikipedia.org/wiki/Ordinary_differential_equation" target="_blank">ordinary differential equation (ODEs)</a> using <a href="https://en.wikipedia.org/wiki/Numerical_methods_for_ordinary_differential_equations#Euler_method" target="_blank">forward Euler method</a> <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="d1/dc2/ode__midpoint__euler_8c.html">ode_midpoint_euler.c</a></td></tr>
<tr class="memdesc:d1/dc2/ode__midpoint__euler_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Solve a multivariable first order <a href="https://en.wikipedia.org/wiki/Ordinary_differential_equation" target="_blank">ordinary differential equation (ODEs)</a> using <a href="https://en.wikipedia.org/wiki/Midpoint_method" target="_blank">midpoint Euler method</a> <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="d4/d99/ode__semi__implicit__euler_8c.html">ode_semi_implicit_euler.c</a></td></tr>
<tr class="memdesc:d4/d99/ode__semi__implicit__euler_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Solve a multivariable first order <a href="https://en.wikipedia.org/wiki/Ordinary_differential_equation" target="_blank">ordinary differential equation (ODEs)</a> using <a href="https://en.wikipedia.org/wiki/Semi-implicit_Euler_method" target="_blank">semi implicit Euler method</a> <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><a href="d4/d68/qr__decompose_8h_source.html"><span class="icondoc"></span></a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="d4/d68/qr__decompose_8h.html">qr_decompose.h</a></td></tr>
<tr class="memdesc:d4/d68/qr__decompose_8h"><td class="mdescLeft">&#160;</td><td class="mdescRight">Library functions to compute <a href="https://en.wikipedia.org/wiki/QR_decomposition" target="_blank">QR decomposition</a> of a given matrix. <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="d5/d23/qr__decomposition_8c.html">qr_decomposition.c</a></td></tr>
<tr class="memdesc:d5/d23/qr__decomposition_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Program to compute the <a href="https://en.wikipedia.org/wiki/QR_decomposition" target="_blank">QR decomposition</a> of a given matrix. <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="d7/d50/qr__eigen__values_8c.html">qr_eigen_values.c</a></td></tr>
<tr class="memdesc:d7/d50/qr__eigen__values_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute real eigen values and eigen vectors of a symmetric matrix using <a href="https://en.wikipedia.org/wiki/QR_decomposition" target="_blank">QR decomposition</a> method. <br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="dc/d47/realtime__stats_8c.html">realtime_stats.c</a></td></tr>
<tr class="memdesc:dc/d47/realtime__stats_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Compute statistics for data entered in rreal-time. <br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top"><span class="icondoc"></span>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="db/d72/secant__method_8c.html">secant_method.c</a></td></tr>
<tr class="memdesc:db/d72/secant__method_8c"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a href="https://en.wikipedia.org/wiki/Secant_method" target="_blank">Secant Method</a> implementation. <br /></td></tr>
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