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Analysis of Algorithm
SmoothSort
 Habib Ullah MS(CS)
Science of Computer Programming
Volume 1, Issue 3, Pages 223–233
Smoothsort, an alternative for sorting in situ
(Edsger Wybe)
http://www.sciencedirect.com/science/article/pii/0167642382900168
Contents
• What is Smoothsort
• Heapsort Analysis
• Idea: A family of heaps
• Leonardo Numbers & Trees
• Smoothsort operations
• Algo & Runtime Analysis
• Conclusion
Waybe
Why is Heapsort O(n lg n)?
Why is Heapsort O(n lg n)?
Why is Heapsort O(n lg n)?
Why is Heapsort O(n lg n)?
Building a Leonardo Heap
Insert Operation
Insert Operation
DE queuing from a Leonardo Heap
Remove Operation
Dequeue Operation
Algo & Runtime Analysis
• Insert
– If last two heaps are two consecutive leonardo numbers
• Add new element as there root
– Else if the rightmost is not of size 1
• New element becomes a new heap of size 1. This 1 is taken to be
L(1)
– Else
• New element becomes a new heap of size 1. This 1 is taken to be
L(0)
• Restore
– Set new element as "current" heap.
– While there is a heap to the left of the current heap and its root is
larger than the current root and both of its child heap roots
• Swap(left-root with current).[Now current is that left root]
– While the current heap has a size greater than 1 and either child heap
of the current heap has a root node greater than the root of the
current heap
• Swap the greater child root with the current root. That
child heap becomes the current heap.
C1
(Log N) times (Log N)
Log N
Dequeue
– Remove topmost node of rightmost heap.
– If it has no children, we're done.
– Otherwise:
– Fix up the left of the two heaps.
– Then fix up the right of the two heaps.
For N elements to dequeue running time is (N LogN) but
this is asymptotically far less than Heap sort.
C1
Log N
Conclusion
• Compared to Heap Sort
– Efficient in Best Case
– Equal in Worst Case but the asymptotic graph is
far less than Heap Sort
Smooth Sort

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Smooth Sort

  • 2. Science of Computer Programming Volume 1, Issue 3, Pages 223–233 Smoothsort, an alternative for sorting in situ (Edsger Wybe) http://www.sciencedirect.com/science/article/pii/0167642382900168
  • 3. Contents • What is Smoothsort • Heapsort Analysis • Idea: A family of heaps • Leonardo Numbers & Trees • Smoothsort operations • Algo & Runtime Analysis • Conclusion
  • 5.
  • 6. Why is Heapsort O(n lg n)?
  • 7. Why is Heapsort O(n lg n)?
  • 8. Why is Heapsort O(n lg n)?
  • 9. Why is Heapsort O(n lg n)?
  • 10.
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  • 14. Building a Leonardo Heap Insert Operation
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  • 45. DE queuing from a Leonardo Heap Remove Operation
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  • 82. Algo & Runtime Analysis
  • 83. • Insert – If last two heaps are two consecutive leonardo numbers • Add new element as there root – Else if the rightmost is not of size 1 • New element becomes a new heap of size 1. This 1 is taken to be L(1) – Else • New element becomes a new heap of size 1. This 1 is taken to be L(0) • Restore – Set new element as "current" heap. – While there is a heap to the left of the current heap and its root is larger than the current root and both of its child heap roots • Swap(left-root with current).[Now current is that left root] – While the current heap has a size greater than 1 and either child heap of the current heap has a root node greater than the root of the current heap • Swap the greater child root with the current root. That child heap becomes the current heap. C1 (Log N) times (Log N) Log N
  • 84. Dequeue – Remove topmost node of rightmost heap. – If it has no children, we're done. – Otherwise: – Fix up the left of the two heaps. – Then fix up the right of the two heaps. For N elements to dequeue running time is (N LogN) but this is asymptotically far less than Heap sort. C1 Log N
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  • 111. Conclusion • Compared to Heap Sort – Efficient in Best Case – Equal in Worst Case but the asymptotic graph is far less than Heap Sort