Gain insights into competitive programming, explore C++ skills with theory, code samples, practice problems, and master faster implementation for contests like ACM ICPC, Google CodeJam, and HackerCup.

Competitive programming can be a great way to build out your programming skills, get on any major company’s radar, and earn a little extra cash along the way.

In this course, you will learn to prepare for competitive programming contests like ACM ICPC, Google CodeJam, Facebook HackerCup, and many more.

Each topic is broken down with a healthy mix of theory, code samples, step-by-step solved sample problems, illustrations, useful practice problems, and tips and tricks for faster implementation.

You will need some solid C++ foundations coming into this course, but by the end it, you will be confident enough in your C++ skills to take home the win.

Competitive Programming in C++: The Keys to Success

Before we discuss how self-balancing BST works, we must first understand the rotation operation on a subtree (*left* and *right*). While doing a rotation - BST property should stay intact.

Keeping the above points in mind, let's see what a left rotation looks like.

Take a look at the below BST:



We want to perform a left rotation:

1. $B$ becomes the root. Since $key(A) < key(B)$, $A$ will be the *left* child of $B$.
2. Since $key(A) < key(T_2) < key(B)$. $T_2$ can be place as the *right* subtree of A.

Doing this will not break the BST property. The resulting tree would look like this:

In this lesson, we'll discuss the rotation operation on a BST

Introduction

Complexity Analysis

Number Theory

Arrays and Vectors

Sieve of Eratosthenes

Strings

Sorting

Linked List

Stack

Queue

Binary Tree

2 Pointers

Heap

Binary Search Tree

Balanced Binary Search Tree

Course Conclusion

Rotation