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testing x_1 math c=\sqrt{x_1^2 + x_2^2}

\LARGE x=\frac{-b\pm\sqrt{b^2-4ac}}{2a}

// SyntaxHighlighter makes your code snippets beautiful without tiring your servers.
var setArray = function(elems) {
    this.length = 0;
    push.apply(this, elems);
    return this;
% Select Java version
% Execute Euphemia on all the selected sessions
EXEC EUPHEMIA @{\textcolor{mymauve}{SESSIONS}}@
% Execute the Cross-Check Module for all the selected sessions
EXEC CROSS_CHECK "%~d0\DIR1\DIR2\CroosCheck_package"
% Execute the PCR Key Indicators for the selected user
EXEC KEY_INDICATORS "%~d0\DIR1\DIR2\KeyIndicators_package"
#include <iostream>
int main()
<pre>   // print hello to the console
   std::cout << "Hello, world!" << std::endl;
   return 0;
public class Hello
<pre>   public static void main(String[] args)
       // print hello to the console
       System.out.println("Hello, world!");
Task List OK !!
Starting Simulation
\INPUT{$\mathcal{D}$  \COMMENT{set of requests},\\
      $\beth_{max}$  \COMMENT{maximim allowable congestion},\\
      $T_0$ and $Cnt_{max}$  \COMMENT{parameters of the algorithm}}
<p>\OUTPUT{The path assigned to each request and the number of electrical ports and optical ports to be installed at each node}
<pre>   \BEGIN
   \STEP{Initial Solution $\Pi_0$ constructed by assigning the shortest path to each request. $\zeta_0$ is its cost and $\beth_0$ is its congestion.}
   \STEP{Current Solution $\Pi_c$ := Initial Solution $\Pi_0$}
<pre>   \STEPNUM{Congestion Control}
   \STEP{\WHILE{($\beth_c > \beth_{max}$)}}
               \subsubSTEP{\RETURN{Unable to satisfy the congestion constraint.}}
               \subsubSTEP{Apply perturbation. New Solution: $\Pi_n(\zeta_n,\beth_n)$}
                    \subsubsubSTEP{Accept new solution $\Pi_c$:=$\Pi_n$}

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