presentation about Insertion sort and merge sort in data structures.

1. INSERTION SORT

3. Insertion Sorting
•It is a simple Sorting algorithm which sorts the array by shifting elements one
• by one. Following are some of the important characteristics of Insertion Sort.
 It has one of the simplest implementation
 It is efficient for smaller data sets, but very inefficient for larger lists.
 Insertion Sort is adaptive, that means it reduces its total number of steps if
given a partially sorted list, hence it increases its efficiency.
 It is better than Selection Sort and Bubble Sort algorithms.
 Its space complexity is less, like Bubble Sorting, inerstion sort also requires a
single additional memory space.
 It is Stable, as it does not change the relative order of elements with equal keys

4. Waste slide

5. How Insertion Sorting Works

6. Insertion Sort
9 72 5 1 4 3 6
Example :

7. Insertion Sort
9 72 5 1 4 3 6
Sorted
section
We start by dividing the array in a section section and an unsorted section.
We put the first element as the only element in the sorted section, and
the rest of the array is the unsorted section.

8. Insertion Sort
9 72 5 1 4 3 6
Sorted
section
Item to
position
The first element in the unsorted section is the next
element to be put into the correct position.

9. Insertion Sort
9 7
2
5 1 4 3 6
Item to
position
2
We copy the element to be placed into another
variable so it doesn’t get overwritten.

10. Insertion Sort
9 7
2
5 1 4 3 62
compare
If the previous position is more than the item being placed,
copy the value into the next position

11. Insertion Sort
9 7
2
5 1 4 3 69
If there are no more items in the sorted section to compare
with, the item to be placed must go at the front.
belongs here

12. Insertion Sort
9 72 5 1 4 3 6

13. Insertion Sort
9 72 5 1 4 3 6

14. Insertion Sort
9 72 5 1 4 3 6
Item to
position

15. Insertion Sort
9
7
2 5 1 4 3 67
compare

16. Insertion Sort
9
7
2 5 1 4 3 6
Copied from previous
position
9
compare
If the item in the sorted section is less than the item to place,
the item to place goes after it in the array.
belongs here

17. Insertion Sort
972 5 1 4 3 6

18. Insertion Sort
972 5 1 4 3 6

19. Insertion Sort
972 5 1 4 3 6
Item to
position

20. Insertion Sort
972
5
1 4 3 65
compare

21. Insertion Sort
972
5
1 4 3 69
compare

22. Insertion Sort
972
5
1 4 3 67
compare
belongs here

23. Insertion Sort
972 5 1 4 3 6

24. Insertion Sort
972 5 1 4 3 6

25. Insertion Sort
972 5 1 4 3 6
Item to
position

26. Insertion Sort
972 5
1
4 3 61
compare

27. Insertion Sort
972 5
1
4 3 69
compare

28. Insertion Sort
972 5
1
4 3 67
compare

29. Insertion Sort
972 5
1
4 3 65
compare

30. Insertion Sort
972 5
1
4 3 62
belongs here

31. Insertion Sort
972 51 4 3 6

32. Insertion Sort
972 51 4 3 6

33. Insertion Sort
972 51 4 3 6
Item to
position

34. Insertion Sort
972 51
4
3 64
compare

35. Insertion Sort
972 51
4
3 69
compare

36. Insertion Sort
972 51
4
3 67
compare

37. Insertion Sort
972 51
4
3 6
belongs here
5
compare

38. Insertion Sort
972 51 4 3 6

39. Insertion Sort
972 51 4 3 6

40. Insertion Sort
972 51 4 3 6
Item to
position

41. Insertion Sort
972 51 4
3
63
compare

42. Insertion Sort
972 51 4
3
69
compare

43. Insertion Sort
972 51 4
3
67
compare

44. Insertion Sort
972 51 4
3
65
compare

45. Insertion Sort
972 51 4
3
64
compare
belongs here

46. Insertion Sort
972 51 43 6

47. Insertion Sort
972 51 43 6

48. Insertion Sort
972 51 43 6
Item to
position

49. Insertion Sort
972 51 43
6
6
compare

50. Insertion Sort
972 51 43
6
9
compare

51. Insertion Sort
972 51 43
6
7
compare
belongs here

52. Insertion Sort
972 51 43 6

53. Insertion Sort
972 51 43 6
SORTED!

54. Merge Sort

55. Merge Sorting
 The Merge Sort Algorithm is based on a simple operation known as Merging.
 It is combining of two ordered arrays to make one larger ordered array.
 It is mainly based on divide and conquer method paradigm.
 Divide the problem into a no of sub problems and similar sub problems of smaller size.
 Conquer the sub problems and solve them recursively.
 Solve the problems in straight manner and combine the solutions of sub-problem.
 Obtain the solution for sub-problem.

56. Merge Sort (cont.)
• Merge Sort Algorithm:
1. Merge Sort (Overview):
1. Split array into two halves
2. Sort the left half (recursively)
3. Sort the right half (recursively)
4. Merge the two sorted halves

57. Merge Sort (cont.)
• Merge Sort Algorithm (cont.):
2. Merging two halves:
1. Access the first item from both halves
2. While neither half is finished
1. Compare the current items of both
2. Copy smaller current item to the output
3. Access next item from that input half
3. Copy any remaining from first half to output
4. Copy any remaining from second half to output

58. Merge Sort (cont.)
• Merging:
 The key to Merge Sort is merging two sorted lists into one, such that if you
have two lists X (x1x2…xm) and Y(y1y2…yn) the resulting list is
Z(z1z2…zm+n)
 Example:
L1 = { 99,6,86,15 } L2 = { 58,35,86,4,0}
merge(L1, L2) = {0,4,6,15,35,58,86,86,99}

59. Merge Sort (cont.)
• Example Explanation ::
99 6 86 15 58 35 86 4 0

60. Merge Sort (cont.)
• Example Explanation : :
99 6 86 15 58 35 86 4 0
99 6 86 15 58 35 86 4 0

61. Merge Sort (cont.)
• Example Explanation :
99 6 86 15 58 35 86 4 0
99 6 86 15 58 35 86 4 0
86 1599 6 58 35 86 4 0

62. Merge Sort (cont.)
• Example Explanation :
99 6 86 15 58 35 86 4 0
99 6 86 15 58 35 86 4 0
86 1599 6 58 35 86 4 0
99 6 86 15 58 35 86 4 0

63. Merge Sort (cont.)
• Example Explanation :
99 6 86 15 58 35 86 4 0
99 6 86 15 58 35 86 4 0
86 1599 6 58 35 86 4 0
99 6 86 15 58 35 86 4 0
4 0

64. Merge Sort (cont.)
• Example Explanation :
99 6 86 15 58 35 86 0 4
4 0Merging

65. Merge Sort (cont.)
• Example Explanation :
99 6 86 15 58 35 86 0 4
Merging
15 866 99 35 58 0 4 86

66. Merge Sort (cont.)
• Example Explanation :
Merging
15 866 99 58 35 0 4 86
6 15 86 99 0 4 35 58 86

67. Merge Sort (cont.)
• Example Explanation :
Merging
6 15 86 99 0 4 35 58 86
0 4 6 15 35 58 86 86 99

68. Merge Sort (cont.)
• Example Explanation :
99 6 86 15 58 35 86 4 0
0 4 6 15 35 58 86 86 99
Question :
Answer :