Update Binary_Tree

Binary_Tree

@@ -1,33 +1,33 @@
-A binary tree is a structure comprising nodes, where each node has the following 3 components:
+//A binary tree is a structure comprising nodes, where each node has the following 3 components:
 
-    Data element: Stores any kind of data in the node
-    Left pointer: Points to the tree on the left side of node
-    Right pointer: Points to the tree on the right side of the node
+ //   Data element: Stores any kind of data in the node
+  //  Left pointer: Points to the tree on the left side of node
+  ////  Right pointer: Points to the tree on the right side of the node
 
-As the name suggests, the data element stores any kind of data in the node.
-The left and right pointers point to binary trees on the left and right side of the node respectively.
+//As the name suggests, the data element stores any kind of data in the node.
+//The left and right pointers point to binary trees on the left and right side of the node respectively.
 
-If a tree is empty, it is represented by a null pointer.
+//If a tree is empty, it is represented by a null pointer.
 
-The following image explains the various components of a tree.
+//The following image explains the various components of a tree.
 
-enter image description here
+//enter image description here
 
-Commonly-used terminologies
+//Commonly-used terminologies
 
-    Root: Top node in a tree
-    Child: Nodes that are next to each other and connected downwards
-    Parent: Converse notion of child
-    Siblings: Nodes with the same parent
-    Descendant: Node reachable by repeated proceeding from parent to child
-    Ancestor: Node reachable by repeated proceeding from child to parent.
-    Leaf: Node with no children
-    Internal node: Node with at least one child
-    External node: Node with no children
+ //   Root: Top node in a tree
+  //  Child: Nodes that are next to each other and connected downwards
+   // Parent: Converse notion of child
+   // Siblings: Nodes with the same parent
+   // Descendant: Node reachable by repeated proceeding from parent to child
+   // Ancestor: Node reachable by repeated proceeding from child to parent.
+   // Leaf: Node with no children
+   // Internal node: Node with at least one child
+   // External node: Node with no children
 
-Structure code of a tree node
+//Structure code of a tree node
 
-In programming, trees are declared as follows:
+//In programming, trees are declared as follows:
 
     struct node
     {

DFS_Graphs_using_adjacency_list

@@ -1,4 +1,5 @@
 //dfs of a graph complexity o(V+E) 
+//Algorithm
 #include<bits/stdc++.h>
 using namespace std;
 //Adjacency list and visited list

Island_Using_DFS.cpp

@@ -1,3 +1,4 @@
+//Imp Algorithm
 #include <iostream>
 #include <vector>
 

Top 10 Algorithms and Data Structures for Competitive Programming

@@ -1,4 +1,4 @@
-
+IMP Algorithm
 Top 10 Algorithms and Data Structures for Competitive Programming
 
 In this post “Important top 10 algorithms and data structures for competitive coding “.

Tree_DFS_Pre_Post_In_Order_Traversal.cpp

@@ -1,4 +1,5 @@
 /*
+Algorithm
 Time complexity : o(n)
 Space complexity : Best,average case -> o(log(n)) & Worst -> o(n)
 */

Tree_Traversal_levelorder.cpp

@@ -1,4 +1,5 @@
 /*
+Imp Algorithm
 Time complexity : o(n)
 Space complexity : Best -> o(1) & Worst -> o(n)
 */