Data Structures Tutorials 21 Lessons

Data Structure Introduction

In computer terms, a data structure is a Specific way to store and organize data in a computer's memory so that these data can be used efficiently later.

  • What is Data Structure?
  • Linear Data Structure.
  • Non linear Data Structure.

Data Structures Environment Setup

For doing data structure and implementing its various concepts in this upcoming chapters, you need to have a compiler to perform all the concepts in the form of programs.

    Greedy Algorithm

    In greedy algorithm technique, choices are being made from the given result domain. As being greedy, the next to possible solution that looks to supply optimum solution is chosen. Greedy method is used to find restricted most favorable result which may finally land in globally optimized answers. But usually greedy algorithms do not gives globally optimized solutions.

      Data Structures and Arrays

      For many applications there may arise some circumstances where programmers needs to have single name to store multiple values. For processing such large amount of data, programmers need powerful data types that would facilitate efficient storage, accessing and dealing with such data items. Using C++, you can implement the concept of arrays.

        Linked List

        The linked list or one way list is a linear set of data elements which is also termed as nodes.

        • Singly Linked List.
        • Insertion of Values in Linked List.
        • Searching in Linked Lists.
        • Deletion in Linked Lists.

        Polynomials Using Linked List and Arrays

        Polynomials and Sparse Matrix are two important applications of arrays and linked lists. A polynomial is composed of different terms where each of them holds a coefficient and an exponent.

          Principles of Program Analysis

          This chapter starts with the basic information regarding the fundamental knowledge required to solve various problems. Algorithm design is one of the primary steps in solving problems. Algorithms are set of steps or instructions required and designed to solve a specific problem.

            Big-O Notation and Algorithm Analysis

            In this chapter you will learn about the different algorithmic approaches that are usually followed while programming or designing an algorithm. Then you will get the basic idea of what Big-O notation is and how it is used.

              Concepts of Stack in Data Structure

              In this chapter you will study about the various operations and working technique of stack data structure.

              • What is stack?
              • Stack as Abstract Data Type.
              • Representation of Stack using Arrays.

              Concepts of Queue in Data Structure

              In this chapter you will be given an introduction to the basic concepts of queues along with the various types of queues which will be discussed simulating the real world situation.

                Searching Techniques

                This chapter explores various searching techniques. Searching is an operation or a technique that helps finds the place of a given element or value in the list.

                • What is searching?
                • What is Linear Search?
                • What is Binary Search?

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