Introduction to Algorithms
Android app by StudyZoom. Education · StudyZoom
- Store rating
- Unknown
- Store rating count
- Unknown
- Download price
- Free to download
- In-app purchases
- Listed by the store
- Version
- 1.2
- Listing last refreshed
- 2026-09-11
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Store description excerpt
📘 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.
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