Introduction to Algorithms

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📘 Introduction to Algorithms – (2025–2026 Edition)

📚 Introduction to Algorithms (2025–2026 Edition) is a comprehensive, syllabus-based academic resource tailored for BS/CS, BS/IT, Software Engineering students, and self-learners aspiring to master algorithms. This edition provides detailed notes, MCQs, and quizzes, making algorithm learning clear, and exam-focused

With a structured syllabus, learners can analyze, design, and implement algorithms while strengthening their problem-solving and computational thinking skills. This book bridges theory with practice, ensuring readiness for exams, interviews, and real-world applications.

📂 Chapters & Topics

🔹 Chapter 1: The Role of Algorithms in Computing
- Algorithms and Computation
- Characteristics of Algorithms
- Algorithms vs. Programs

🔹 Chapter 2: Getting Started
- Insertion Sort
- Analyzing Algorithms
- Designing Algorithms

🔹 Chapter 3: Growth of Functions
- Asymptotic Notation
- Standard Notations and Common Functions
- Comparing Growth Rates

🔹 Chapter 4: Divide-and-Conquer
- The Recurrence Relation
- Merge Sort
- Recursion Tree and Master Theorem

🔹 Chapter 5: Probabilistic Analysis and Randomized Algorithms
- Indicator Random Variables
- Randomized Algorithms
- Expected Running Time

🔹 Chapter 6: Heapsort
- Heap Data Structure
- Building a Heap
- Heapsort Algorithm
- Priority Queues

🔹 Chapter 7: Quicksort
- Partitioning
- Performance Analysis
- Randomized Quicksort
- Tail Recursion

🔹 Chapter 8: Sorting in Linear Time
- Counting Sort
- Radix Sort
- Bucket Sort

🔹 Chapter 9: Medians and Order Statistics
- Minimum and Maximum
- Selection in Linear Time

🔹 Chapter 10: Elementary Data Structures
- Stacks and Queues
- Linked Lists
- Implementing Pointers and Objects

🔹 Chapter 11: Hash Tables
- Hash Functions
- Open Addressing
- Chaining
- Universal Hashing

🔹 Chapter 12: Binary Search Trees
- BST Operations
- Tree Traversals
- Average Case Analysis

🔹 Chapter 13: Red-Black Trees
- Properties of Red-Black Trees
- Insertion and Deletion
- Rotations

🌟 Why Choose this App/Book?
- Covers the complete Introduction to Algorithms syllabus in a structured academic format.
- Includes MCQs, quizzes, and key notes for better practice.
- Provides visual clarity and step-by-step explanations.
- Useful for projects, exams, and technical interview preparation.
- Builds strong foundations in data structures and algorithmic problem-solving.

✍ This app is inspired by authors:
Fethi A. Rabhi, Wojciech Szpankowski, Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest

📥 Download Now!
Start mastering algorithms with Introduction to Algorithms (2025–2026 Edition) and gain confidence in solving computational problems effectively.

What’s new

🚀 Initial Launch of Introduction to Algorithms

✨ What’s Inside:
✅ Detailed complete syllabus covering algorithms
✅ Interactive MCQs & quizzes for self-assessment and exam prep

🎯 Suitable For:
👩‍🎓 Students of BSCS, BSIT, Software Engineering & Data Science
📘 University & college exams (Algorithms & Data Structures courses)
🏆 Test prep for projects, assignments & technical interviews

Start your journey in mastering algorithms with Introduction to Algorithms (2025–2026 Edition) today! 🚀