This repository contains programs, notes, and examples for Design and Analysis of Algorithms (DAA). It covers key techniques such as divide and conquer, greedy, dynamic programming, backtracking, and ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

⚡ Comprehensive collection of Design & Analysis of Algorithms 🚀 | Includes 🧮 Sorting, 💡 Dynamic Programming, 🎯 Greedy, 🌐 Graph, and 🔤 String Matching | Implemented in ⚙️ C++ with STL | Perfect ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

In this module the student will learn the very basics of algorithms through three examples: insertion sort (sort an array in ascending/descending order); binary search: search whether an element is ...