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Algorithms
Insertion Sort
Abdelrahman M. Saleh
List of contents
● Introduction
● Example w/ illustrating figures
● Algorithm
● implementation (Java, C++, Python)
● Performance Runtime
○ Best, Average and worst cases.
● Execution
● Other Notes
Introduction
● simple sorting algorithm that works the way we sort playing cards
in our hands.
● used when number of elements is small.
● It can also be useful when input array is almost sorted,
only few elements are misplaced in complete big array.
Example w/ illustrating figures
Source : geeksforgeeks.org
Algorithm .
Loop from i = 1 to length.
Pick element arr[i]
If (i=1) then skip
Other i => insert it into sorted sequence arr[0...i-1] .
Implementation
C++ .
void insertionSort(int a[], int len)
{
int i, j, key ;
for(j=1; j<len; j++)
{
key = a[j] ;
i = j-1 ;
while(i>(-1) && a[i] > key)
{
a[i+1] = a[i] ;
i-- ;
}
a[i+1] = key ;
}
}
JAVA .
void sort(int a[])
{
int len = a.length;
for (int i=1; i<len; ++i)
{
int key = a[i];
int j = i-1;
while (j>=0 && a[j] > key)
{
a[j+1] = a[j];
j = j-1;
}
a[j+1] = key;
}
}
Python .
def insertionSort(a):
for i in range(1, len(a)):
key = a[i]
j = i-1
while j >=0 and key < a[j] :
a[j+1] = a[j]
j -= 1
a[j+1] = key
Performance Runtime
● Time complexity Θ(n2
) .
● Best Case : When Array is sorted Θ(n) .
● Worst Case : when array is sorted in reverse order .
Execution .
Input array : [9, 11, 8, 7, 6]
First Action : [9, 11, 8, 7, 6]
Move item : 11 .
Move item : 9 .
Sorted item : 8, position => 0 .
Second Action : [8, 9, 11, 7, 6] .
Move item : 11 .
Move item : 9 .
Sorted item : 7, position => 0 .
Third Action : [7, 8, 9, 11, 6]
Move item : 11 .
Move item : 9 .
Move item : 8 .
Move item : 7 .
Sorted item : 6 , position => 0 .
Output array : [6, 7, 8, 9, 11] .
Other Notes .
● Algorithmic Paradigm: Incremental Approach
● Sorting In Place: Yes
● Stable: Yes
● Online: Yes

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Insertion sort

  • 2. List of contents ● Introduction ● Example w/ illustrating figures ● Algorithm ● implementation (Java, C++, Python) ● Performance Runtime ○ Best, Average and worst cases. ● Execution ● Other Notes
  • 3. Introduction ● simple sorting algorithm that works the way we sort playing cards in our hands. ● used when number of elements is small. ● It can also be useful when input array is almost sorted, only few elements are misplaced in complete big array.
  • 4. Example w/ illustrating figures Source : geeksforgeeks.org
  • 5. Algorithm . Loop from i = 1 to length. Pick element arr[i] If (i=1) then skip Other i => insert it into sorted sequence arr[0...i-1] .
  • 7. C++ . void insertionSort(int a[], int len) { int i, j, key ; for(j=1; j<len; j++) { key = a[j] ; i = j-1 ; while(i>(-1) && a[i] > key) { a[i+1] = a[i] ; i-- ; } a[i+1] = key ; } }
  • 8. JAVA . void sort(int a[]) { int len = a.length; for (int i=1; i<len; ++i) { int key = a[i]; int j = i-1; while (j>=0 && a[j] > key) { a[j+1] = a[j]; j = j-1; } a[j+1] = key; } }
  • 9. Python . def insertionSort(a): for i in range(1, len(a)): key = a[i] j = i-1 while j >=0 and key < a[j] : a[j+1] = a[j] j -= 1 a[j+1] = key
  • 10. Performance Runtime ● Time complexity Θ(n2 ) . ● Best Case : When Array is sorted Θ(n) . ● Worst Case : when array is sorted in reverse order .
  • 11. Execution . Input array : [9, 11, 8, 7, 6] First Action : [9, 11, 8, 7, 6] Move item : 11 . Move item : 9 . Sorted item : 8, position => 0 . Second Action : [8, 9, 11, 7, 6] . Move item : 11 . Move item : 9 . Sorted item : 7, position => 0 . Third Action : [7, 8, 9, 11, 6] Move item : 11 . Move item : 9 . Move item : 8 . Move item : 7 . Sorted item : 6 , position => 0 . Output array : [6, 7, 8, 9, 11] .
  • 12. Other Notes . ● Algorithmic Paradigm: Incremental Approach ● Sorting In Place: Yes ● Stable: Yes ● Online: Yes