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datastructure's Introduction

Table of Contents

Introducton to Data Structure and Algorithms

Why we need Data Structure?

To examine the problem solving skills and for the following skills

  • Basics of coding
  • Foundational data strucutures(Math and Complexity)

Data Structures

Data Structures is organizing/structuring/managing the data in the memory and it is collection of data values and relationship between the data values in which common operations can be applied.

Classification

  • Primitive Data Structures
  • Non Primitive Data Structures

Primitive

Dillinger uses a number of open source projects to work properly:

  • Int
  • Float
  • Char
  • Pointer
  • Boolean

Non Primitive

  • Linear(Sequential)

    • Stack
      • Vector
      • Array
    • Queue
      • Priority Queue
      • List
        • Single linked list
        • Double linked list
        • Circular linked list
  • Non Linear(Random)

    • Trees
    • Binary
    • Binary Search Tree
    • Graph
    • Map
      • HashMap
      • TreeMap
    • Set
      • HashSet
      • TreeSet

Common Operations performed

  • Searching
  • Sorting
  • Insertion
  • Updation
  • Deletion

Algorithm

A set of instructions or steps that applies on the data strucutures to solve a problem.

Problem Statement

  • The problem states that to find the best path between the two points source(home) to destination(school) having he possible number of paths in the image.

Problem

Identify Datastruture

  • Array
  • HashTable

Problem

Define Algorithm

  • Apply Algorithm on Datastrucure and its efficiency and complexity varies based on the DataStructure.

Problem

Data Structure Complexity Chart

Complexity Chart

Algorithm Complexity Chart

Algorithm Complexity Chart

datastructure's People

Contributors

shangan23 avatar sriramanvellingiri avatar

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