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    Mastering Data Structures and Algorithms in C and C++
    Mastering Data Structures and Algorithms in C and C++
    Mastering Data Structures and Algorithms in C and C++
    Ebook58 pages59 minutes

    Mastering Data Structures and Algorithms in C and C++

    By Sachin Naha

    ()

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    About this ebook

    "Mastering Data Structures and Algorithms in C and C++" is a comprehensive book that serves as a guide for programmers and computer science enthusiasts to learn and understand fundamental data structures and algorithms using the C and C++ programming languages. The book is designed to help readers gain proficiency in solving complex problems and optimizing their code.

    The book aims to provide readers with a deep understanding of fundamental data structures and algorithms using the C and C++ programming languages. The book is designed to cater to both beginners and experienced programmers.

    LanguageEnglish
    PublisherBookRix
    Release dateJul 27, 2023
    ISBN9783755447818
    Mastering Data Structures and Algorithms in C and C++

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      Book preview

      Mastering Data Structures and Algorithms in C and C++ - Sachin Naha

      Mastering Data Structures and Algorithms in C and C++

      About the book

      Mastering Data Structures and Algorithms in C and C++ is a comprehensive book that serves as a guide for programmers and computer science enthusiasts to learn and understand fundamental data structures and algorithms using the C and C++ programming languages. The book is designed to help readers gain proficiency in solving complex problems and optimizing their code.

      The book aims to provide readers with a deep understanding of fundamental data structures and algorithms using the C and C++ programming languages. The book is designed to cater to both beginners and experienced programmers.

      Author

      Contents

      Introduction to Data Structures and Algorithms

      Overview of basic data structures (arrays, linked lists, stacks, queues, trees, graphs, etc.)

      Importance of algorithms and their efficiency analysis (time and space complexity)

      Arrays and Strings  

      Array manipulation and searching algorithms (linear search, binary search)

      String manipulation and pattern matching (substring search, regular expressions)

      Linked Lists  

      Singly-linked lists, doubly linked lists, and circular-linked lists

      Basic operations (insertion, deletion, traversal)

      Advanced techniques (reversing, merging, detecting cycles)

      Stacks and Queues  

      Stack and queue implementations using arrays and linked lists

      Applications of stacks and queues in solving real-world problems

      Trees and Binary Trees  

      Binary tree representation and traversal algorithms (in-order, pre-order, post-order)

      Binary search trees and their operations (insertion, deletion, searching)

      Balanced trees (AVL trees, Red-Black trees)

      Graphs and Graph Algorithms  

      Graph representation (adjacency matrix, adjacency list)

      Graph traversal algorithms (DFS, BFS)

      Shortest path algorithms (Dijkstra's algorithm, Bellman-Ford algorithm)

      Minimum spanning tree algorithms (Prim's algorithm, Kruskal's algorithm)

      Sorting and Searching Algorithms  

      Bubble sort, selection sort, insertion sort, merge sort, quicksort, etc.

      Searching techniques (linear search, binary search)

      Dynamic Programming  

      Understanding the concept of overlapping subproblems and optimal substructure

      Solving problems using dynamic programming (e.g., Fibonacci series, knapsack problem)

      Hashing  

      Hash functions and collision resolution techniques

      Hash tables and their implementation

      Advanced-Data Structures  

      Heaps and priority queues

      Trie data structure

      Segment trees and Fenwick trees (Binary Indexed Trees)

      Bit Manipulation  

      Bitwise operations and their applications

      Bit manipulation tricks for optimizing algorithms

      Advanced Algorithms  

      Divide and Conquer

      Backtracking

      Greedy algorithms

      Randomized algorithms

      String algorithms (KMP algorithm, Rabin-Karp algorithm)

      Parallel algorithms

      Approximation algorithms

      Interview Questions and Answers

      Introduction to Data Structures and Algorithms

      Data Structures and Algorithms form the backbone of computer science and play a crucial role in solving complex problems efficiently. Whether you are a beginner or an experienced programmer, understanding data structures and algorithms is essential to becoming a proficient software developer. This comprehensive guide aims to provide a step-by-step approach to mastering data structures and algorithms in C and C++, two of the most widely used programming languages in the world.

      Overview of Basic Data Structures

      1.1 Arrays: Arrays are one of the simplest and most fundamental data structures. They are collections of elements of the same data type, stored in contiguous memory locations. Accessing elements in an array is done using their index, and arrays offer constant-time access, making them efficient for random access. However, their size is fixed once declared, leading to limitations in dynamic data handling.

      1.2 Linked Lists: Linked lists overcome the limitations of arrays by offering dynamic memory allocation. They consist of nodes, where each node contains both data and a pointer to the next node in the

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