Quickstart Trees on LeetCode

trees dsalgo leetcode cp

This is a beginner lab and primer to start solving questions on trees in Data Structures and Algorithms.

What is a tree?

A tree is a data structure that looks like this:

4️⃣

/          \

3️⃣              5️⃣

/      \          /     \

1️⃣        2️⃣     6️⃣     7️⃣

Why does it look like this?

In the above representation, it is what we call a tree and each point holding a value is called a node. A node is classified depending on it's placement in the structure.

Node with value 4 --> called root node coz it has no parent above it

Node with value 3 --> is left child of root node, sibling of node with value 5 and parent node of nodes with value 1 and 2.

Node with value 1 --> is left child of node with value 3, sibling of node with value 2 and also called leaf node as it doesn't have any children.

Node with value 2 --> is right child of node with value 3, sibling of node with value 1 and also called leaf node as it doesn't have any children.

Node with value 5 --> is right child of root node, sibling of node with value 3 and parent node of nodes with value 6 and 7.

Node with value 6 --> is left child of node with value 5, sibling of node with value 7 and also called leaf node as it doesn't have any children.

Node with value 7 --> is right child of node with value 5, sibling of node with value 7 and also called leaf node as it doesn't have any children.

Let's summarize!

We have

• four leaf nodes -> 1, 2, 6, 7
• three parent nodes -> 4, 3, 5
• one root node -> 4
• one tree -> type binary as there are maximum two children nodes of parent nodes

Why do we need to traverse?

• To find out tree node value
• To make calculations on the basis of tree node value

How to define node using code? (naiice, it rhymes :p)

``````class Node:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right``````

What are the algorithms to traverse trees?

There are many but we will look at three ways to walk through a tree.

• Pre-order
• In-order
• Post-order
• Level-order
Discussion

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