Add references for algorithms from report

.gitignore

@@ -233,3 +233,4 @@ $RECYCLE.BIN/
 # Windows shortcuts
 *.lnk
 *.aux
+*.out

experiments/report.tex

@@ -7,6 +7,7 @@
 \usepackage{graphicx}
 \usepackage{caption}
 \usepackage{float}
+\usepackage{hyperref}
 
 %\setcounter{topnumber}{2}
 %\setcounter{bottomnumber}{2}
@@ -29,14 +30,16 @@
 
 \section{Список алгоритмов}
 \begin{itemize}
-  \item Алгоритм глобального поиска (AGS)
-  \item Multi Level Single Linkage (MLSL)
-  \item DIRECT
-  \item Locally-based DIRECT (DIRECT$l$)
-  \item Dual Simulated Annealing
-  \item Differential Evolution
-  \item Controlled Random Search
-  \item Simple
+  \item Алгоритм глобального поиска (AGS) (\url{https://github.com/sovrasov/ags_nlp_solver})
+  \item Multi Level Single Linkage (MLSL) (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#mlsl-multi-level-single-linkage})
+  \item DIRECT (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#direct-and-direct-l})
+  \item Locally-based DIRECT (DIRECT$l$) (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#direct-and-direct-l})
+  \item Dual Simulated Annealing (\url{https://github.com/sgubianpm/sdaopt})
+  \item Differential Evolution (\url{https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.differential_evolution.html#scipy.optimize.differential_evolution})
+  \item Controlled Random Search (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#controlled-random-search-crs-with-local-mutation})
+  \item Simple (\url{https://github.com/chrisstroemel/Simple})
+  \item StoGO (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#stogo})
+
 \end{itemize}
 
 \section{Результаты на классе задач $F_{GR}$}

experiments/report_template.tex

@@ -7,6 +7,7 @@
 \usepackage{graphicx}
 \usepackage{caption}
 \usepackage{float}
+\usepackage{hyperref}
 
 %\setcounter{topnumber}{2}
 %\setcounter{bottomnumber}{2}
@@ -29,14 +30,16 @@
 
 \section{Список алгоритмов}
 \begin{itemize}
-  \item Алгоритм глобального поиска (AGS)
-  \item Multi Level Single Linkage (MLSL)
-  \item DIRECT
-  \item Locally-based DIRECT (DIRECT$l$)
-  \item Dual Simulated Annealing
-  \item Differential Evolution
-  \item Controlled Random Search
-  \item Simple
+  \item Алгоритм глобального поиска (AGS) (\url{https://github.com/sovrasov/ags_nlp_solver})
+  \item Multi Level Single Linkage (MLSL) (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#mlsl-multi-level-single-linkage})
+  \item DIRECT (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#direct-and-direct-l})
+  \item Locally-based DIRECT (DIRECT$l$) (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#direct-and-direct-l})
+  \item Dual Simulated Annealing (\url{https://github.com/sgubianpm/sdaopt})
+  \item Differential Evolution (\url{https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.differential_evolution.html#scipy.optimize.differential_evolution})
+  \item Controlled Random Search (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#controlled-random-search-crs-with-local-mutation})
+  \item Simple (\url{https://github.com/chrisstroemel/Simple})
+  \item StoGO (\url{https://nlopt.readthedocs.io/en/latest/NLopt_Algorithms/#stogo})
+
 \end{itemize}
 
 \section{Результаты на классе задач $F_{GR}$}