Floyd’s buildHeap, Sorting - University of Washington
CSE 373: Data Structures and Algorithms
Floyd's buildHeap, Sorting
Autumn 2018
Shrirang (Shri) Mare shri@cs.washington.edu
Thanks to Kasey Champion, Ben Jones, Adam Blank, Michael Lee, Evan McCarty, Robbie Weber, Whitaker Brand, Zora Fung, Stuart Reges, Justin Hsia, Ruth Anderson, and many others for sample slides and materials ...
Today
- Heap review and Array implementation of Heap - Floyd's buildHeap algorithm - Intro to Sorting - Insertion sort - Heap sort
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Heap review
Heap is a tree-based data structure that satisfies
- (a) structure property: it's a complete tree
- (b) heap property, which states:
- for min-heap: paren t ch ildren - for max-heap: paren t ch ildren
- Operations (for min-heap):
- removeMin()
- peekMin()
- insert()
- Applications: priority queue, sorting, ..
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removeMin()
1
54
3
94
62
39
11
96 95 75 82 43 50 36 49
min-heap
Calls: removeMin()
function removeMin last = last node in the tree minvalue = root swap root with last percolateDown(root) return minvalue
end function
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!5
removeMin()
49
54
3
94
62
39
11
96 95 75 82 43 50 36
Broken heap
Calls: removeMin() 1
function removeMin last = last node in the tree minvalue = root swap root with last percolateDown(root) return minvalue
end function
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