Lecture4: Arrays Bohyung Han CSE, POSTECH [email protected] CSED233: Data Structures (2014F)
Balanced Binary Search Tree 황승원 Fall 2010 CSE, POSTECH.
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Transcript of Balanced Binary Search Tree 황승원 Fall 2010 CSE, POSTECH.
Balanced Binary Search Tree
황승원Fall 2010
CSE, POSTECH
2
Balanced Binary Search Trees
height is O(log n), where n is the number of elements in the tree
AVL (Adelson-Velsky and Landis) trees red-black trees get, put, and remove take O(log n) time
3
Balanced Binary Search Trees
Indexed AVL trees Indexed red-black trees Indexed operations also take
O(log n) time
4
Balanced Search Trees
weight balanced binary search trees 2-3 & 2-3-4 trees AA trees B-trees BBST etc.
55
AVL Tree
Definition Binary tree. If T is a nonempty binary tree with TL and TR as it
s left and right subtrees, then T is an AVL tree iff1. TL and TR are AVL trees, and
2. |hL – hR| 1 where hL and hR are the heights of TL and TR, respectively
6
Balance Factors
0 0
0 0
1
0
-1 0
1
0
-1
1
-1
This is an AVL tree.
7
Height
The height of an AVL tree that has n nodes is at most 1.44 log2 (n+2).
Nh=Nh-1 + Nh-2+1 – reminds you anything?Fn=Fn-1 + Fn-2
Nh=Fh+2-1 when ~ / 5
(1 5) / 2
log ( 5( 1)) 2
hhF
h n
8
AVL Search Tree
0 0
0 0
1
0
-1 0
1
0
-1
1
-110
7
83
1 5
30
40
20
25
35
45
60
9
put(9)
0 0
0 0
1
0
-1 0
1
0
-1
1
-1
90
-1
0
10
7
83
1 5
30
40
20
25
35
45
60
10
put(29)
0 0
0 0
1
0
0
1
0
-1
1
-110
7
83
1 5
30
40
20
25
35
45
60
29
0
-1
-1-2
RR imbalance => new node is in right subtree of right subtree of blue node (node with bf = -2)
11
put(29)
0 0
0 0
1
0
0
1
0
-1
1
-110
7
83
1 5
30
40
2535
45
600
RR rotation. 20
029
12
AVL Rotations
RR LL RL LR
1313
Imbalance Types
After an insertion, when the balance factor of node A is –2 or 2, the node A is one of the following four imbalance types
1. LL: new node is in the left subtree of the left subtree of A
2. LR: new node is in the right subtree of the left subtree of A
3. RR: new node is in the right subtree of the right subtree of A
4. RL: new node is in the left subtree of the right subtree of A
1414
Rotation
Definition To switch children and parents among two or three
adjacent nodes to restore balance of a tree. A rotation may change the depth of some nodes,
but does not change their relative ordering.
1515
AVL Rotations
To balance an unbalanced AVL tree (after an insertion), we may need to perform one of the following rotations: LL, RR, LR, RL
1616
An LL Rotation
1717
An LR Rotation
1818
RR and RL?
Symmetric!
1919
Inserting into an AVL Search Tree
29
Insert(29)-1
1
0
0 0
0
1
1
-1 0
-1
0
0
10
40
30 45
20 35
25
60
7
3 8
1 5
• Where is 29 going to be inserted into?• After the insertion, is the tree still an AVL search tree? (i.e., still balanced?)
2020
Inserting into an AVL Search Tree
• What are the balance factors for 20, 25, 29?
-2
-1
0
Insert(29)
29
-1
1
0
0 0
0
1
1
0
-1
0
10
40
30 45
20 35
25
60
7
3 8
1 5
• RR imbalance new node is in the right subtree of right subtree of node 20 (node with bf = -2)
2121
After RR Rotation
-1
1
0
0 0
0
1
1
0
-1
0
10
40
30 45
35 60
7
3 8
1 5 0
00
25
20 29
• What would the left subtree of 30 look like after an RR rotation?• After the RR rotation, is the resulting tree an AVL search tree now?
2222
Deletion from an AVL Search Tree
Deletion of a node may also produce an imbalance
Imbalance incurred by deletion is classified intothe types R0, R1, R-1, L0, L1, and L-1
Rotation is also needed for rebalancing Read the observations after deleting a node from
an AVL search tree Read Section 11.2.6 for Deletion from an AVL
search tree
2323
An R0 Rotation
2424
An R1 Rotation
2525
An R-1 Rotation
2626
Complexity of Dictionary Operations:Search, Insert, and Delete
Data Structure Worst Case Expected
Hash Table
Binary SearchTree
BalancedBinary SearchTree
O(n)
O(n)
O(log n)
O(1)
O(log n)
O(log n)
• n is the number of elements in dictionary.
2727
Complexity of Other OperationsAscend, Search(rank), and Delete(rank)
Data Structure ascend get and remove
Hash Table
Indexed BST
IndexedBalanced BST
O(D + n log n)
O(n)
O(n)
O(D + n log n)
O(n)
O(log n)
• D is the number of buckets.
28
Red Black Trees
Colored Nodes Definition Binary search tree. Each node is colored red or black. Root and all external nodes are black. No root-to-external-node path has two consecutive
red nodes. All root-to-external-node paths have the same
number of black nodes
29
Example Red Black Tree
10
7
8
1 5
30
40
20
25
35
45
60
3
30
Properties
The height of a red black tree that has n (internal) nodes is between log2(n+1) and 2log2(n+1).
31
Lemma 16.2
r : rank of root
2
2
2 1
2log ( 1)
r
h r
n
h n
3232
Insert
New pair is placed in a new node, which is inserted into the red-black tree.
New node color options.– Black node => one root-to-external-node path has an
extra black node (black pointer). Hard to remedy.
– Red node => one root-to-external-node path may have two consecutive red nodes (pointers).
May be remedied by color flips and/or a rotation.
3333
Classification Of 2 Red Nodes/Pointers
XYz– X => relationship between gp and pp.
pp left child of gp => X = L.– Y => relationship between pp and p.
p right child of pp => Y = R.– z = b (black) if d = null or a black node.– z = r (red) if d is a red node.
a b
cd
gppp
p
3434
XYr Color flip.
a b
cd
gppp
p
a b
cd
gppp
p
• Continue rebalancing if changing gp to red causes problems
3535
LLb Rotate.
• Done!
• Same as LL rotation of AVL tree.
y
x
a b
z
c d
a b
cd
gppp
p x
y
z
3636
LRb Rotate.
• Done!
• Same as LR rotation of AVL tree.
• RRb and RLb are symmetric.
y
x
a b
z
c d
b c
ad
gppp
py
x
z
3737
Red-black Tree Animation
http://www.ece.uc.edu/~franco/C321/html/RedBlack/redblack.html
java.util.TreeMap => red black tree
3838
Coming Up Next
READING: Ch 16.1~2 NEXT: Graphs (Ch 17.1~7)