Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN: 9780133594140
Author: James Kurose, Keith Ross
Publisher: PEARSON
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[1] Performing a check of constraints on node values for each sub-tree, just the way we discussed in the Lecture this week. Please remember what we dis[1]cussed in the Lecture - that - for a Binary Tree to qualify as a Binary Search Tree, we must perform the node values check of-course but also must not forget the value checks at the sub-tree level.

 

[2] Performing the BST check by doing an In-Order Traversal of the Binary Tree as discussed in the Lecture. Since we know that an in-order traversal of a BST results in nodes being processed in sorted order, as soon as there is a violation of sorted order, we would know that the tree provided is not a BST.

/* Class to represent Tree node */
class Node {
int data;
Node left, right;
public Node(int item)
data = item;
left = null;
right - null;
The root element of the Binary Tree is given to you. Below is an illustrated sam-
ple of Binary Tree nodes for your reference, which in-fact is the same example
we discussed in the lecture.
tree.root - new Node (4);
tree.root.left = new Node (2);
tree.root.right = new Node (6);
tree.root.left.left = nev Node(1);
tree.root.left.right = new Node (3);
tree.root.right.left = new Node (5);
tree.root.right.right = new Node (7);
Your code will need to return a boolean : True or False.
When you follow the validation process specified - the complexity of the solution
will be as below.
Time Complexity: 0(n)
Space Complexity: 0(n)
The linear space complexity would come from the recursion (AKA "recursion
stack") you employ to validate the Tree.
Submissions that don't meet the linear Time and Space complexities will only
expand button
Transcribed Image Text:/* Class to represent Tree node */ class Node { int data; Node left, right; public Node(int item) data = item; left = null; right - null; The root element of the Binary Tree is given to you. Below is an illustrated sam- ple of Binary Tree nodes for your reference, which in-fact is the same example we discussed in the lecture. tree.root - new Node (4); tree.root.left = new Node (2); tree.root.right = new Node (6); tree.root.left.left = nev Node(1); tree.root.left.right = new Node (3); tree.root.right.left = new Node (5); tree.root.right.right = new Node (7); Your code will need to return a boolean : True or False. When you follow the validation process specified - the complexity of the solution will be as below. Time Complexity: 0(n) Space Complexity: 0(n) The linear space complexity would come from the recursion (AKA "recursion stack") you employ to validate the Tree. Submissions that don't meet the linear Time and Space complexities will only
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