AlgoDaily - Understanding Big O Notation and Algorithmic Complexity

Technical Interview Preparation

Back to course sections

How and What to Prepare

How to Use AlgoDaily (and Get the Most Out Of It)

How to Prepare for a Technical Interview

How to Get Better at Approaching Coding Interviews

The Official Study Plans (30/60/90 Day Plans)

Approaching Coding Interviews: Through a Recruiters' Lens

Algorithm Examples In Everyday Life

Understanding Big O Notation and Algorithmic Complexity

Understanding Space Complexity

Coming Up With Brute Force Algorithms With Examples

Mark As Completed Discussion

Home > Technical Interview Preparation > How and What to Prepare > Understanding Big O Notation and Algorithmic Complexity

You'll get the time of execution for the program.

I got the following results from running the code.

1Call to customPower took 4 milliseconds

Programming Categories

Basic Arrays Interview Questions

Binary Search Trees Interview Questions

Dynamic Programming Interview Questions

Easy Strings Interview Questions

Frontend Interview Questions

Graphs Interview Questions

Hard Arrays Interview Questions

Hard Strings Interview Questions

Hash Maps Interview Questions

Linked Lists Interview Questions

Medium Arrays Interview Questions

Queues Interview Questions

Recursion Interview Questions

Sorting Interview Questions

Stacks Interview Questions

Systems Design Interview Questions

Trees Interview Questions

Popular Lessons

All Courses, Lessons, and Challenges

Data Structures Cheat Sheet

Free Coding Videos

Bit Manipulation Interview Questions

Javascript Interview Questions

Python Interview Questions

Java Interview Questions

SQL Interview Questions

QA and Testing Interview Questions

Data Engineering Interview Questions

Data Science Interview Questions

Blockchain Interview Questions

JavaScript Functions

Integrating Predictions into the Dynamic Environment

Responsive Web Design

Engineering Manager Interview Questions

Matrix Chain Multiplication