Update for 06-11-21 15:15

tech/Dijkstra.wiki

@@ -17,6 +17,13 @@ Dijkstra's Algorithm is a [[greedy_algorithm]].
    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
+     N1's distance is 6+2 = 8. If the node was previously marked as having a
+     different value, keep the smallest of the two values.
+4) Once we have checked all of a nodes neighbors, remove it from the unvisited
+   set. A visited node is never checked again. 
+5) If searching for a specific node, the algorithm can stop when the desired
+   node is no longer in the 'unvisted' set. 
+6) If not, select the unvisted node with the smalled distance, and set it as
+   the current node, and go back to step 3
 
 

tech/algorithms.wiki

@@ -21,6 +21,8 @@ Different ways to store and operate on data, with differing efficiency
 * [[splay_tree|Splay Tree]]
 * [[avl_tree|AVL Tree]]
 * [[kd_tree|KD Tree]]
+* [[Heap]] 
+  - [[Fibonacci_heap]]
 
 == Common Algorithms ==
 

tech/b_tree.wiki

@@ -0,0 +1,4 @@
+= B-tree =
+
+A B-tree is a self balancing tree that maintains sorted data and allows
+search, insertion, and deletion in log time

tech/graph.wiki

@@ -14,3 +14,4 @@ applications including [[../math/markov_chain|Markov Chians]].
 
 * [[BFS]]
 * [[DFS]]
+* [[Dijkstra]]

tech/linked_list.wiki

@@ -23,6 +23,7 @@ worrying about like 4 bytes per node and either have tons of nodes or memory is
 precious and the time spent XORing is a valid tradeoff.
 
 == Visual ==
+
 {{{
 Head                                                        Tail
 ----------------    ---------    ---------    ---------    ----------------

tech/queue.wiki

@@ -7,7 +7,6 @@ from the back
 
 * Keeping an order of elements
 
-
 == Bad For ==
 
 * Everything else

tech/skip_list.wiki

@@ -11,7 +11,6 @@ deletion (on average).
 
 * Space constrained enviroments (nlogn space usage)
 
-
 == Notes ==
 
 Honestly things like a B-Tree are better alternatives, but sometimes you need a