README.md

Bst Construction

Source: https://www.algoexpert.io/questions/bst-construction
Difficulty: Medium
Category: Binary Search Trees

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Write a BST class for a Binary Search Tree. The class should support:

• Inserting values with the insert method.
• Removing values with the remove method; this method should only remove the first instance of a given value.
• Searching for values with the contains method.

Note that you can't remove values from a single-node tree. In other words, calling the remove method on a single-node tree should simply not do anything.

Each BST node has an integer value, a left child node, and a right child node. A node is said to be a valid BST node if and only if it satisfies the BST property: its value is strictly greater than the values of every node to its left; its value is less than or equal to the values of every node to its right; and its children nodes are either valid BST nodes themselves or None / null.

Sample Usage

// Assume the following BST has already been created:
         10
       /    \
      5      15
    /   \   /   \
   2     5 13   22
 /           \
1            14

// All operations below are performed sequentially.
insert(12):   
         10
       /    \
      5      15
    /   \   /   \
   2     5 13   22
 /        /  \
1        12   14

remove(10):   
         12
       /    \
      5      15
    /   \   /   \
   2     5 13   22
 /           \
1            14

contains(15): true

Hints

Hint 1

As you try to insert, find, or a remove a value into, in, or from a BST, you will have to traverse the tree's nodes. The BST property allows you to eliminate half of the remaining tree at each node that you traverse: if the target value is strictly smaller than a node's value, then it must be (or can only be) located to the left of the node, otherwise it must be (or can only be) to the right of that node.

Hint 2

Traverse the BST all the while applying the logic described in Hint #1. For insertion, add the target value to the BST once you reach a leaf (None / null) node. For searching, if you reach a leaf node without having found the target value that means the value isn't in the BST. For removal, consider the various cases that you might encounter: the node you need to remove might have two children nodes, one, or none; it might also be the root node; make sure to account for all of these cases.

Hint 3

What are the advantages and disadvantages of implementing these methods iteratively as opposed to recursively?

Optimal Space & Time Complexity

Average: O(log(n)) time | O(1) space - where n is the number of nodes in the BST Worst: O(n) time | O(1) space - where n is the number of nodes in the BST