About
Chapter 1: Getting started with algorithms
Section 1.1: A sample algorithmic problem
Section 1.2: Getting Started with Simple Fizz Buzz Algorithm in Swift
Chapter 2: Algorithm Complexity
Section 2.1: Big-Theta notation
Section 2.2: Comparison of the asymptotic notations
Section 2.3: Big-Omega Notation
Chapter 3: Big-O Notation
Section 3.1: A Simple Loop
Section 3.2: A Nested Loop
Section 3.3: O(log n) types of Algorithms
Section 3.4: An O(log n) example
Chapter 4: Trees
Section 4.1: Typical anary tree representation
Section 4.2: Introduction
Section 4.3: To check if two Binary trees are same or not
Chapter 5: Binary Search Trees
Section 5.1: Binary Search Tree - Insertion (Python)
Section 5.2: Binary Search Tree - Deletion(C++)
Section 5.3: Lowest common ancestor in a BST
Section 5.4: Binary Search Tree - Python
Chapter 6: Check if a tree is BST or not
Chapter 7: Binary Tree traversals
Chapter 8: Lowest common ancestor of a Binary Tree
Chapter 9: Graph
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Chapter 53: polynomial-time bounded algorithm for Minimum Vertex Cover
Chapter 54: Dynamic Time Warping
Chapter 55: Fast Fourier Transform
Appendix A: Pseudocode
Section A.1: Variable a ectations
Section A.2: Functions
Credits