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Initializing A Max Heap

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Initializing A Max Heap 1 3 2 4 6 7 5 11 8 7 8 9 7 10 input array = [-, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] Initializing A Max Heap Start at rightmost array position ... – PowerPoint PPT presentation

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Title: Initializing A Max Heap


1
Initializing A Max Heap
  • input array -, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
    11

2
Initializing A Max Heap
1
3
2
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6
7
5
11
8
7
8
9
7
10
  • Start at rightmost array position that has a
    child.

Index is n/2.
3
Initializing A Max Heap
1
3
2
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6
7
11
5
8
7
8
9
7
10
  • Move to next lower array position.

4
Initializing A Max Heap
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11
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Initializing A Max Heap
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Initializing A Max Heap
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Initializing A Max Heap
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Initializing A Max Heap
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Initializing A Max Heap
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Find a home for 2.
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Initializing A Max Heap
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Find a home for 2.
11
Initializing A Max Heap
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2
Done, move to next lower array position.
12
Initializing A Max Heap
1
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Find home for 1.
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Initializing A Max Heap
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Find home for 1.
14
Initializing A Max Heap
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Find home for 1.
15
Initializing A Max Heap
11
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Find home for 1.
16
Initializing A Max Heap
11
7
10
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3
5
2
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1
Done.
17
Time Complexity
11
7
9
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3
5
8
8
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4
7
2
1
10
Height of heap h. Number of subtrees with root
at level j is lt 2 j-1. Time for each subtree is
O(h-j1).
18
Complexity
Time for level j subtrees is lt 2j-1(h-j1)
t(j). Total time is t(1) t(2) t(h-1)
O(n).
19
Leftist Trees
  • Linked binary tree.
  • Can do everything a heap can do and in the same
    asymptotic complexity.
  • Can meld two leftist tree priority queues in
    O(log n) time.

20
Extended Binary Trees
  • Start with any binary tree and add an external
    node wherever there is an empty subtree.
  • Result is an extended binary tree.

21
A Binary Tree
22
An Extended Binary Tree
number of external nodes is n1
23
The Function s()
  • For any node x in an extended binary tree, let
    s(x) be the length of a shortest path from x to
    an external node in the subtree rooted at x.

24
s() Values Example
25
s() Values Example
2
2
1
2
1
1
0
1
0
0
1
1
0
0
0
0
0
0
0
26
Properties Of s()
  • If x is an external node, then s(x) 0.
  • Otherwise,
  • s(x) min s(leftChild(x)),
  • s(rightChild(x)) 1

27
Height Biased Leftist Trees
  • A binary tree is a (height biased) leftist tree
    iff for every internal node x, s(leftChild(x)) gt
    s(rightChild(x))

28
A Leftist Tree
2
2
1
2
1
1
0
1
0
0
1
1
0
0
0
0
0
0
0
29
Leftist Trees--Property 1
  • In a leftist tree, the rightmost path is a
    shortest root to external node path and the
    length of this path is s(root).

30
A Leftist Tree
2
2
1
2
1
1
0
1
0
0
1
1
0
0
0
0
0
0
0
Length of rightmost path is 2.
31
Leftist TreesProperty 2
  • The number of internal nodes is at least
  • 2s(root) - 1
  • Because levels 1 through s(root) have no external
    nodes.
  • So, s(root) lt log(n1)

32
A Leftist Tree
2
2
1
2
1
1
0
1
0
0
1
1
0
0
0
0
0
0
0
Levels 1 and 2 have no external nodes.
33
Leftist TreesProperty 3
  • Length of rightmost path is O(log n), where n is
    the number of nodes in a leftist tree.
  • Follows from Properties 1 and 2.

34
Leftist Trees As Priority Queues
Min leftist tree leftist tree that is a min
tree. Used as a min priority queue. Max leftist
tree leftist tree that is a max tree. Used as a
max priority queue.
35
A Min Leftist Tree
2
4
3
6
8
5
9
8
6
36
Some Min Leftist Tree Operations
put() remove() meld() initialize() put() and
remove() use meld().
37
Put Operation
  • put(7)

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38
Put Operation
  • put(7)

2
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Create a single node min leftist tree.
7
39
Put Operation
  • put(7)

2
4
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6
Create a single node min leftist tree. Meld the
two min leftist trees.
7
40
Remove Min
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41
Remove Min
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Remove the root.
42
Remove Min
2
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6
Remove the root. Meld the two subtrees.
43
Meld Two Min Leftist Trees
Traverse only the rightmost paths so as to get
logarithmic performance.
44
Meld Two Min Leftist Trees
4
3
6
8
5
6
9
8
6
Meld right subtree of tree with smaller root and
all of other tree.
45
Meld Two Min Leftist Trees
4
3
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5
6
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6
Meld right subtree of tree with smaller root and
all of other tree.
46
Meld Two Min Leftist Trees
6
4
6
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8
6
Meld right subtree of tree with smaller root and
all of other tree.
47
Meld Two Min Leftist Trees
6
8
Meld right subtree of tree with smaller root and
all of other tree. Right subtree of 6 is empty.
So, result of melding right subtree of tree with
smaller root and other tree is the other tree.
48
Meld Two Min Leftist Trees
Make melded subtree right subtree of smaller root.
Swap left and right subtree if s(left) lt s(right).
49
Meld Two Min Leftist Trees
Make melded subtree right subtree of smaller root.
Swap left and right subtree if s(left) lt s(right).
50
Meld Two Min Leftist Trees
Make melded subtree right subtree of smaller root.
Swap left and right subtree if s(left) lt s(right).
51
Meld Two Min Leftist Trees
3
4
5
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8
52
Initializing In O(n) Time
  • create n single node min leftist trees and place
    them in a FIFO queue
  • repeatedly remove two min leftist trees from the
    FIFO queue, meld them, and put the resulting min
    leftist tree into the FIFO queue
  • the process terminates when only 1 min leftist
    tree remains in the FIFO queue
  • analysis is the same as for heap initialization
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