Update for 06-11-21 15:00

tech/BFS.wiki

@@ -2,8 +2,8 @@
 
 Breadth First Search is an algorithm for searching a tree/graph for a node that
 has a certain property. It starts at some chosen/implied root node, and
-traverses the entire tree/graph. Therefore, BFS is often performed in O(n)
+traverses the entire tree/graph. Therefore, BFS is often performed in O(|V| +
-time. 
+|E|) time. 
 
 == Algorithm ==
 
@@ -18,3 +18,7 @@ desired, a condition can be added for the desired node.
 This method of traversal *does not* take advantage of the structure of a tree,
 and therefore does not have any of the lookup advantages of a [[binary_tree]].
 
+=== Graph ===
+
+Graph traversal is similar, however a list of visited nodes is required. This
+is to ensure that we do not get stuck in loops

tech/DFS.wiki

@@ -1 +1,21 @@
 = Depth First Search =
+
+Depth First Search is an algorithm for searching a tree/graph for a node that
+has a certain property. It starts at some chosen/implied root node, and
+traverses the entire tree/graph. Depth first search can also be thought of as a
+type of prefix traversal
+
+== Algorithm ==
+
+=== Tree ===
+
+The algorithm is often implemented as a recursive function. For each node in
+the graph, the function checks if the node's value is the desired value, and if
+not immediately calls itself upon that nodes children. Due to this the
+algorithm searches as deeply as possible first and foremost, before then
+searching the width of the tree.
+
+=== Graph ===
+
+Graph traversal is similar, however a list of of visited nodes is required.
+This is to ensure that we do not get stuck in loops.

tech/Dijkstra.wiki

@@ -0,0 +1,22 @@
+= Dijkstra's Algorithm =
+
+Dijkstra's Algorithm was created by Edsger W. Dijkstra, and is an algorithm
+for finding the *shortest path between any two nodes in a graph*. This can be
+thought of finding the best route from point A to point B on something like a
+road map. This is also called a *routing protocol*.
+
+Dijkstra's Algorithm is a [[greedy_algorithm]]. 
+
+== Algorithm ==
+
+1) Choose some initial node to start from. Create a set of distances from this
+   node to all other nodes, and set their distance to infinite. This algorithm
+   will change these distances and attempt to find the fastest way to each node.
+2) Mark all nodes as 'unvisited'. All of these nodes are part of a set.
+3) For the current node, consider all of its unvisited neighbors and calculate
+   the distance from the start node to this node.
+   - For example, if the current node is marked as a distance of 6 from the
+     starting node, and the edge of neighbor _N1_ has a distance of 2, then
+     N1's distance is 6+2 = 8
+
+

tech/algorithms.wiki

@@ -24,8 +24,11 @@ Different ways to store and operate on data, with differing efficiency
 
 == Common Algorithms ==
 
+=== Graph and Tree ===
+
 * [[BFS]]
 * [[DFS]]
+* [[Dijkstra]]
 
 == Sorting ==
 

tech/greedy_algorithm.wiki

@@ -0,0 +1 @@
+= Greedy Algorithm =