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Insertion Sort & Shellsort By: Andy Le CS146 – Dr. Sin Min Lee Spring 2004
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why we do sorting? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Why we do sorting? ,[object Object],[object Object],[object Object]
History of Sorting ,[object Object]
History of Sorting ,[object Object]
Insertion Sort ,[object Object],[object Object],[object Object]
Insertion Sort ,[object Object],[object Object]
Insertion Sort runtimes ,[object Object],[object Object],[object Object]
Empirical Analysis of Insertion Sort Source: http://linux.wku.edu/~lamonml/algor/sort/insertion.html The graph demonstrates the  n^ 2 complexity of the insertion sort.
Insertion Sort ,[object Object]
Insertion Sort ,[object Object]
Insertion Sort ,[object Object]
Advantage of Insertion Sort ,[object Object]
Disadvantage of Insertion Sort ,[object Object]
Insertion Sort Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Insertion Sort Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Shellsort ,[object Object],[object Object],[object Object]
Shellsort ,[object Object]
Shellsort ,[object Object]
Shellsort ,[object Object]
Shellsort ,[object Object],[object Object]
Shellsort ,[object Object],[object Object]
Empirical Analysis of Shellsort Source: http://linux.wku.edu/~lamonml/algor/sort/shell.html
Empirical Analysis of Shellsort (Advantage) ,[object Object],[object Object]
Empirical Analysis of Shellsort (Disadvantage) ,[object Object],[object Object]
Shellsort Best Case ,[object Object]
Shellsort Worst Case ,[object Object],[object Object]
Shellsort Examples ,[object Object],8 Numbers to be sorted, Shell’s increment will be floor(n/2)  * floor(8/2)    floor(4) = 4 increment 4: 1 2 3 4 18   32   12   5   38   33   16   2 (visualize underlining) Step  1 ) Only look at  18  and  38  and sort in order ;  18  and  38  stays at its current position because they are in order. Step  2 ) Only look at  32  and  33  and sort in order ;  32  and  33  stays at its current position because they are in order. Step  3 ) Only look at  12  and  16  and sort in order ;  12   and  16  stays at its current position because they are in order. Step  4 ) Only look at  5  and  2  and sort in order ;  2  and  5  need to be switched to be in order.
Shellsort Examples (con’t) ,[object Object],[object Object],[object Object],[object Object],increment 2: 1   2 18 32 12 2 38 33 16 5 Step  1 ) Look at  18 ,  12 ,  38 ,  16  and sort them in their appropriate location: 12 32 16 2 18 33 38 5   Step  2 ) Look at  32 ,  2 ,  33 ,  5  and sort them in their appropriate location: 12 2 16 5 18 32 38 33
Shellsort Examples (con’t) ,[object Object],* floor(2/2)    floor(1) = 1 increment 1:   1 12 2 16 5 18 32 38 33   2 5 12 16 18 32 33 38   The last increment or phase of Shellsort is basically an Insertion  Sort algorithm.
Additional Online References ,[object Object],[object Object]
The End

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Is sort andy-le

  • 1. Insertion Sort & Shellsort By: Andy Le CS146 – Dr. Sin Min Lee Spring 2004
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  • 10. Empirical Analysis of Insertion Sort Source: http://linux.wku.edu/~lamonml/algor/sort/insertion.html The graph demonstrates the n^ 2 complexity of the insertion sort.
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  • 24. Empirical Analysis of Shellsort Source: http://linux.wku.edu/~lamonml/algor/sort/shell.html
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  • 30.
  • 31.
  • 32.