Big O – Complexity Reference For PC | How To Download (Windows/Mac)

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If you’re a fan of anime, you’ve probably heard of the Big O. The Big O is a popular anime series that is known for its complex and intricate story line. The series follows the life of a character named Roger Smith who is a professional negotiator and negotiator for the city of Paradigm. The Big O is a complex series with many layers that can be difficult to understand if you’re not familiar with the terminology. This article is a complexity reference for the Big O anime series. It will provide an overview of the series and explain some of the complex terminology used throughout the series.

The latest Big O – Complexity Reference for PC has come up with a few updates that are better than the previous version. Want to know those? Here are they:

Big O – Complexity Reference Andorid App Summary

Hieu T Nguyen has developed the Big O – Complexity Reference for Android. You can find it under the Education category on Play Store. Since its inception, Big O – Complexity Reference has got over 33483+ users on board. For the user rating, it is currently holding a 4.4 rating and the latest version of it is 1.0

The latest update of Big O – Complexity Reference is Mar 31, 2016 for phones. You can’t use it on your PC directly. So, you have to use an Android emulator like BlueStacks Emulator, Memu Emulator, Nox Player Emulator, etc.

No worries, we will discuss the methods to run it on your computer using the emulators whether you use a PC or Mac. Follow the methods we’ve discussed below.

Big O – Complexity Reference App Overview and Details

Big O is an Android application that allows users to get access to a reference of run-time complexity about common data structures and sort algorithms. What’s more, the application also allows users to run speed tests to compare the run-time between these data structures and sort algorithms.

Features of Big O – Complexity Reference for PC

– Reference of run-time complexities for common data structures and sort algorithms
– Ability to compare run-time between different data structures and sort algorithms
– Graphical interface that is easy to use and navigate

Install “Big O – Complexity Reference” on PC: Windows 10/8/7 & Mac

If you want to run the Big O – Complexity Reference on your PC, you’ll need the Memu android emulator. Here is the process of installing both on your PC:

  • Download the Memu android emulator on your computer and install it. It will take a few minutes from start to finish.
  • While finishing, keep the Open when finished checked and other additional offers unchecked.
  • Once installed and opened, you’ll see a familiar interface with familiar apps on the screen, including Play store.
  • Click on the Play store and log into your account using your google email and password that you use on your phone.
  • You can now search for the Big O – Complexity Reference app within Play store. It will show you the app on the search results in the first position.
  • Click on the app name and then click install to begin the download process on your computer to install Big O – Complexity Reference.
  • It may take a few minutes for the entire process. Once complete, you can now open the app from your desktop or the emulator homepage.
Big O – Complexity Reference App Specification
App Name: Big O – Complexity Reference On Your PC
Devoloper Name: Hieu T Nguyen
Latest Version: 1.0
Android Version: 4.0.3
Supporting OS: Windows,7,8,10 & Mac (32 Bit, 64 Bit)
Package Name: hieunguyen725.bigo
Download: 33483+
Category: Education
Updated on: Mar 31, 2016
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Whats New In this Big O – Complexity Reference?



Big O notation is a mathematical way of representing the runtime complexity of algorithms. It is important for developers to be aware of the big O complexity of their code, in order to optimize their code for the best performance. The Big O complexity of an algorithm is the worst case runtime of the algorithm, as the size of the input data set increases.

So, did you find the guide on how to download the Big O – Complexity Reference for PC above? If you did, or if you have any questions regarding it, do comment and let us know. We’re here to help.


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