Updated the template notebook

Template.ipynb

@@ -15,10 +15,11 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "https://github.coventry.ac.uk/380CT-2022/........"
+    "https://github.coventry.ac.uk/........"
    ]
   },
   {
@@ -81,13 +82,14 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Four types of TSP instances will be generated by creating an **adjacency matrices** $M$ as follows:\n",
-    "1. **Asymmetric**: The edge weights are independent and uniformly random in an interval $[1,\\text{MAX_WEIGHT}]$, i.e the graph is assumed to be directed.\n",
+    "1. **Asymmetric**: The edge weights are independent and uniformly random in an interval $[1,\\text{MAX\\_WEIGHT}]$, i.e the graph is assumed to be directed.\n",
     "2. **Symmetric**: Like the asymmetric case but the graph is undirected, and the matrix is therefore symmetric: $M_{ij}=M_{ji}$.\n",
-    "3. **Euclidean**: Generate points using $(x,y)$ coordinates, then generate the adjacency matrix by calculating all the required distances. Recall that the distance between two points $(x_1,y_1)$ and $(x_2,y_2)$ is $\\sqrt{(x_1-x_2)^2+(y_1-y_2)^2}$. The points are generated in the rectangle defined by the points $(0,0)$ and $(\\text{MAX_Y},\\text{MAX_Y})$.\n",
+    "3. **Euclidean**: Generate points using $(x,y)$ coordinates, then generate the adjacency matrix by calculating all the required distances. Recall that the distance between two points $(x_1,y_1)$ and $(x_2,y_2)$ is $\\sqrt{(x_1-x_2)^2+(y_1-y_2)^2}$. The points are generated in the rectangle defined by the points $(0,0)$ and $(\\text{MAX\\_Y},\\text{MAX\\_Y})$.\n",
     "4. **Graphs with obvious shortest cycle**: A graph where all the distances are 2 except for the edges on a predefined cycle, where the distance is 1. Such a graph would be useful for testing/debugging the \"nearest neighbour greedy\" search."
    ]
   },