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    Problems Solving in Data Structures & Algorithms using C++

    Posted By: Free butterfly
    Problems Solving in Data Structures & Algorithms using C++

    Problems Solving in Data Structures & Algorithms using C++ by Hemant Jain
    English | 2022 | ISBN: N/A | ASIN: B0BL3ZJPKL | 588 pages | PDF | 30 Mb

    ”Problem-Solving in Data Structures & Algorithms” is a series of books about the usage of Data Structures and Algorithms in computer programming. The book is easy to follow and is written for interview preparation point of view. In these books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP.
    GitHub Repositories for these books.
    https://github.com/Hemant-Jain-Author

    Book’s Composition
    This book introduces you to the world of data structures and algorithms. Data structures define the way in which data is arranged in memory for fast and efficient access, while algorithms are a set of instruction to solve problems by manipulating these data structures.

    Designing an efficient algorithm is a very important skill that all software companies, e.g., Microsoft, Google, Facebook etc. pursues. Most of the interviews for these companies are focused on knowledge of data-structures and algorithms. They look for how candidates use concepts of data structures and algorithms to solve complex problems efficiently. Apart from knowing, a programming language, you also need to have good command of these key computer fundamentals to not only qualify the interview but also excel in your jobs as a software engineer.

    This book assumes that you are a C language developer. You are not an expert in C language, but you are well familiar with concepts of classes, functions, arrays, pointers, and recursion. At the start of this book, we will be looking into Complexity Analysis followed by the various data structures and their algorithms. We will be looking into Linked-List, Stack, Queue, Trees, Heap, Hash-Table and Graphs. We will also be looking into Sorting, Searching techniques.

    In the last few chapters, we will be looking into various algorithmic techniques. Such as, Brute-Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, Reduction and Backtracking.

    Table of Contents
    Chapter 0: How to use this book.
    Chapter 1: Algorithms Analysis
    Chapter 2: Approach to solve algorithm design problems
    Chapter 3: Abstract Data Type & C# Collections
    Chapter 4: Searching
    Chapter 5: Sorting
    Chapter 6: Linked List
    Chapter 7: Stack
    Chapter 8: Queue
    Chapter 9: Tree
    Chapter 10: Priority Queue
    Chapter 11: Hash-Table
    Chapter 12: Graphs
    Chapter 13: String Algorithms
    Chapter 14: Algorithm Design Techniques
    Chapter 15: Brute Force Algorithm
    Chapter 16: Greedy Algorithm
    Chapter 17: Divide & Conquer
    Chapter 18: Dynamic Programming
    Chapter 19: Backtracking
    Chapter 20: Complexity Theory

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