- DSA - Discussion
- DSA - Useful Resources
- DSA - Quick Guide
- DSA - Questions and Answers
- DSA - Fibonacci Series
- DSA - Tower of Hanoi
- DSA - Recursion Basics
- DSA - Heap
- DSA - Tries
- DSA - Spanning Tree
- DSA - Splay Trees
- DSA - B+ Trees
- DSA - B Trees
- DSA - Red Black Trees
- DSA - AVL Tree
- DSA - Binary Search Tree
- DSA - Tree Traversal
- DSA - Tree Data Structure
- DSA - Breadth First Traversal
- DSA - Depth First Traversal
- DSA - Graph Data Structure
- DSA - Quick Sort
- DSA - Shell Sort
- DSA - Merge Sort
- DSA - Selection Sort
- DSA - Insertion Sort
- DSA - Bubble Sort
- DSA - Sorting Algorithms
- DSA - Hash Table
- DSA - Interpolation Search
- DSA - Binary Search
- DSA - Linear Search
- DSA - Queue
- DSA - Expression Parsing
- DSA - Stack
- DSA - Circular Linked List
- DSA - Doubly Linked List
- DSA - Linked List Basics
- DSA - Array Data Structure
- DSA - Data Structures and Types
- DSA - Data Structure Basics
- DSA - Dynamic Programming
- DSA - Divide and Conquer
- DSA - Greedy Algorithms
- DSA - Asymptotic Analysis
- DSA - Algorithms Basics
- DSA - Environment Setup
- DSA - Overview
- DSA - Home
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Data Structure and Algorithms Insertion Sort
This is an in-place comparison-based sorting algorithm. Here, a sub-pst is maintained which is always sorted. For example, the lower part of an array is maintained to be sorted. An element which is to be insert ed in this sorted sub-pst, has to find its appropriate place and then it has to be inserted there. Hence the name, insertion sort.
The array is searched sequentially and unsorted items are moved and inserted into the sorted sub-pst (in the same array). This algorithm is not suitable for large data sets as its average and worst case complexity are of Ο(n2), where n is the number of items.
How Insertion Sort Works?
We take an unsorted array for our example.
Insertion sort compares the first two elements.
It finds that both 14 and 33 are already in ascending order. For now, 14 is in sorted sub-pst.
Insertion sort moves ahead and compares 33 with 27.
And finds that 33 is not in the correct position.
It swaps 33 with 27. It also checks with all the elements of sorted sub-pst. Here we see that the sorted sub-pst has only one element 14, and 27 is greater than 14. Hence, the sorted sub-pst remains sorted after swapping.
By now we have 14 and 27 in the sorted sub-pst. Next, it compares 33 with 10.
These values are not in a sorted order.
So we swap them.
However, swapping makes 27 and 10 unsorted.
Hence, we swap them too.
Again we find 14 and 10 in an unsorted order.
We swap them again. By the end of third iteration, we have a sorted sub-pst of 4 items.
This process goes on until all the unsorted values are covered in a sorted sub-pst. Now we shall see some programming aspects of insertion sort.
Algorithm
Now we have a bigger picture of how this sorting technique works, so we can derive simple steps by which we can achieve insertion sort.
Step 1 − If it is the first element, it is already sorted. return 1; Step 2 − Pick next element Step 3 − Compare with all elements in the sorted sub-pst Step 4 − Shift all the elements in the sorted sub-pst that is greater than the value to be sorted Step 5 − Insert the value Step 6 − Repeat until pst is sorted
Pseudocode
procedure insertionSort( A : array of items ) int holePosition int valueToInsert for i = 1 to length(A) inclusive do: /* select value to be inserted */ valueToInsert = A[i] holePosition = i /*locate hole position for the element to be inserted */ while holePosition > 0 and A[holePosition-1] > valueToInsert do: A[holePosition] = A[holePosition-1] holePosition = holePosition -1 end while /* insert the number at hole position */ A[holePosition] = valueToInsert end for end procedure
To know about insertion sort implementation in C programming language, please
. Advertisements