## Introduction:

This book provides a wealth of useful code examples as well as a number of pertinent problems and their solutions. This book provides answers to tricky data structures and algorithms. The book, which is written in C/C++ and contains many solutions to each issue, is useful as a resource for computer scientists taking interviews and exams. Readers who work in the computer science field might use it as a reference guide. This book acts as a preparation tool for college work, exams, and interviews. This book provides answers to a variety of complex data structure and algorithmic problems, to put it briefly. In other words, this listed potential answers. With this strategy, this book offers many solution techniques based on your priorities even when a new question occurs.

**Overview**:

Data structures are objects made to store the information that is required by algorithms. Each data structure provides a method for keeping its components in memory as well as functions that let you effectively work with the data it holds. Certain data structures work better when employed to solve specific issues. A list of steps is referred to as an algorithm. If you use a computer to implement the algorithm, you can store the data you need to solve the problem using data structures. For instance, if you need to sort a list of numbers, you can store the numbers in a list data structure and use an algorithm like insertion sort to sort the components in that list. Data structures and algorithms are related as nouns and verbs are related. For instance, in the concept of a linked list, if the node is not null, there is a next entry; otherwise, there is none. So you create an algorithm to put that functionality into practice. Now, it is possible to determine whether or not your method is efficient based on a number of variables, including runtime and space complexity. Algorithms and data structures are like swords for computer science students, so to speak. Your future will undoubtedly be bright if you use them effectively and frequently.

**Topics you are going to cover in this book are**:

**In chapter 1** we get a detail introduction about data types, variables, algorithms etc. In this chapter wo learn about Master theorem. This chapter also provide a detail on analysis like goal of algorithm analysis.

**Chapter 2** is about Recursion and Backtracking. This chapter provide a detail note on Recursion and backtracking. We study algorithms of Recursion and backtracking.

**Next chapter** is about the Linkedlist. We will study about different Linkedlist list types. We will also study different examples of Linkedlist. In this chapter we will also learn about arrays.

**Chapter 4 to chapter 7** we study about stack, queues and trees. how they are used as well as what are applications of queues and stack . We will go through different types of trees as well as we also discuss priority queues and heaps.

**Chapter 8 and 9** is about the graph algorithms. Representation of graphs. Applications of graphs we also go through the equivalence relations and classes.

**Chapter 10 and 11** is about sorting and searching. We studied about different sorting and searching.