Mastering Algorithms and Data Structures
De Manish Soni
Duração3h 6m
Sobre este audiolivro
Welcome to “Mastering Algorithms and Data Structures”, a comprehensive guide designed to bridge the gap between theoretical concepts and practical application in the realm of computer science. This book is crafted for students, professionals, and enthusiasts who aspire to understand and master the intricacies of algorithms and Data Structures—essential pillars of efficient problem-solving in computing.The content of this book is thoughtfully organized to ensure a holistic learning experience. Each chapter begins with a clear explanation of fundamental concepts, followed by detailed examples that highlight their real-world applications. To solidify understanding, we have included a variety of engaging exercises such as Multiple-Choice Questions (MCQs), "Match the Following" activities, and "Fill in the Blanks." These are complemented by in-depth case studies that illustrate how these concepts are applied to solve complex problems.For those preparing for competitive exams or interviews, this book includes a curated collection of previous year questions and viva voce questions to help you test your readiness and confidence. Whether you are a beginner or someone with prior knowledge looking to refine your skills, this book is your companion for developing a structured approach to mastering algorithms and Data Structures.As you journey through Structures Thinking: Mastering Algorithms and Data Structures, we encourage you to engage actively with the exercises and reflect on the case studies. By doing so, you will not only gain proficiency in the subject but also cultivate a problem-solving mindset that will serve you well in your academic, professional, and personal endeavors.
Detalhes do audiolivro
GêneroTechnology, Science and Nature
Duração3 h 6 min
Narrado porOuça com mais de 1.000 vozes
FormatoeBook com áudio
Data de publicação13 de nov. de 2024
IdiomaInglês
Sumário
1PREFACE
2Chapter 1 - Introduction to Data Structure And Algorithm
31.1 Definitions of Data Structures and Algorithms
41.2 Types of Data Structures
51.3 Primitive vs. Non-Primitive Data Structures
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61.4 Algorithmic Notations and Basic Concepts
71.5 Introduction to Algorithm Analysis
81.6 Time Complexity: Best, Worst, and Average Case
91.7 Space Complexity
101.8 Big O, Ω, and Θ Notations
111.9 Glossary
121.10 Summary
131.11 Previous Year Unsolved Questions
14Chapter 2 - Arrays and Linked Lists
152.1 Arrays: Concepts and Operations
162.2 Single and Multi-Dimensional Arrays
172.3 Sparse Matrices: Representation and Applications
182.4 Introduction to Linked Lists
192.5 Singly Linked List: Structure and Operations
202.6 Doubly Linked List: Structure and Operations
212.7 Circular Linked List: Structure and Operations
222.8 Memory Representation of Linked Lists
232.9 Applications of Linked Lists
242.10 Glossary
252.11 Summary
262.12 Previous Year Unsolved Questions
27Chapter 3 - Stack
283.1 Introduction to Stacks
293.2 Stack ADT: Concepts and Operations
303.3 Stack Implementation using Arrays
313.4 Stack Implementation using Linked Lists
323.5 Applications of Stacks
333.6 Infix to Postfix Conversion
343.7 Evaluating Arithmetic Expressions
353.8 Simulating Recursion with Stacks
363.9 Tower of Hanoi using Stacks
373.10 Glossary
383.11 Summary
393.12 Previous Year Unsolved Questions
40Chapter 4 - Queues
414.1 Introduction to Queues
424.2 Queue ADT: Concepts and Operations
434.3 Queue Implementation using Arrays
444.4 Queue Implementation using Linked Lists
454.5 Circular Queue: Concepts and Operations
464.6 Dequeue and Priority Queue: Concepts and Operations
474.7 Applications of Queues
484.8 Round Robin Scheduling
494.9 Job Scheduling using Queues
504.10 Glossary
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