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Problem Solving in Data Structures and Algorithms Using C 1st Edition by Hemant Jain ISBN 1540407306 9781540407306

Name: Problem Solving in Data Structures and Algorithms Using C 1st Edition by Hemant Jain ISBN 1540407306 9781540407306
SKU: EB-15866
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Authors:Hemant Jain , Series:IT & Computer [403] , Tags:Computers & Information Technology , Author sort:Jain, Hemant , Languages:Languages:eng , Published:Published:Jan 2017 , Publisher:UNKNOWN , Comments:”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 various books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP. GitHub Repositories https://github.com/Hemant-Jain-Author Bookâ€™s Composition This book is designed for interviews so in Chapter 0, various preparation plans are proposed. Then in chapters 1, a brief introduction of the programming language and concept of recursion is explained. A number of problems based on recursion and array are explained. Then in the coming chapter, we will be looking into complexity analysis. Then we will be looking into Sorting & Searching techniques. Then will look into the various data structures and their algorithms. We will be looking into a Linked List, Stack, Queue, Trees, Heap, Hash Table and Graphs. Then we will be looking into algorithm analysis, we will be looking into Brute Force algorithms, Greedy algorithms, Divide & Conquer algorithms, Dynamic Programming, and Backtracking. In the end, we will be looking into System Design, which will give a systematic approach for solving the design problems in an Interview. Table of Contents Chapter 0: How to use this book. Chapter 1: Introduction – Programming Overview Chapter 2: Algorithms Analysis Chapter 3: Approach to solve algorithm design problems Chapter 4: Abstract Data Type Chapter 5: Searching Chapter 6: Sorting Chapter 7: Linked List Chapter 8: Stack Chapter 9: Queue Chapter 10: Tree Chapter 11: Priority Queue Chapter 12: Hash-Table Chapter 13: Graphs Chapter 14: String Algorithms Chapter 15: Algorithm Design Techniques Chapter 16: Brute Force Algorithm Chapter 17: Greedy Algorithm Chapter 18: Divide & Conquer Chapter 19: Dynamic Programming Chapter 20: Backtracking Chapter 21: Complexity Theory Chapter 22: Interview Strategy Chapter 23: System DesignÂ«Â less; Â«Â less

SKU: EB-15866 Category: eBook PDF Tags: Data Structures, Hemant Jain, Problem Solving

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ISBN 10: 1540407306
ISBN 13: 9781540407306
Author: Hemant Jain

“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 various books, the examples are solved in various languages like Go, C, C++, Java, C#, Python, VB, JavaScript and PHP.

Problem Solving in Data Structures and Algorithms Using C 1st Edition Table of contents:

Part I: Introduction to Problem Solving

Introduction to Algorithms and Data Structures
- Importance of Algorithms in Problem Solving
- Overview of Common Data Structures
Getting Started with C Programming
- Basic Syntax and Features of C
- Writing and Executing Your First Program
Mathematical Foundations
- Complexity Analysis: Time and Space
- Recursion and its Applications

Part II: Fundamental Data Structures

Arrays and Strings
- Basics of Array Manipulation
- String Handling in C
Linked Lists
- Singly, Doubly, and Circular Linked Lists
- Applications of Linked Lists
Stacks and Queues
- Stack Implementation and Applications
- Queue Variants: Circular Queue, Priority Queue

Part III: Advanced Data Structures

Trees and Binary Trees
- Binary Search Trees (BST)
- Tree Traversal Algorithms
Heaps and Priority Queues
- Min-Heap and Max-Heap Implementations
- Applications in Sorting and Scheduling
Graphs and Graph Algorithms
- Representation: Adjacency Matrix and List
- BFS, DFS, and Shortest Path Algorithms

Part IV: Algorithms

Sorting Algorithms
- Bubble, Selection, and Insertion Sort
- Merge Sort, Quick Sort, and Heap Sort
Searching Algorithms
- Linear and Binary Search
- Hashing and Hash Tables
Divide and Conquer Algorithms
- Understanding the Divide-and-Conquer Paradigm
- Examples: Merge Sort, Binary Search
Dynamic Programming
- Principles and Techniques
- Applications: Knapsack Problem, Longest Common Subsequence

Part V: Problem Solving Techniques

Greedy Algorithms
- Fundamentals and Examples
- Applications: Huffman Coding, Activity Selection
Backtracking and Branch and Bound
- Backtracking Techniques with Examples
- Solving the N-Queens and Traveling Salesman Problems
Graph Algorithms for Problem Solving
- Minimum Spanning Tree: Kruskal and Prim
- Network Flow Problems

Part VI: Practical Applications and Case Studies

Real-World Problem Solving Using C
- Case Study: Designing an Airline Reservation System
- Case Study: Implementing a Social Network Graph
Interview Preparation with Data Structures and Algorithms
- Commonly Asked Problems and Solutions
- Tips for Coding Interviews

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