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Discrete Mathematics Chapter 5 Trees
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Discrete Mathematics

Jan 03, 2016

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Discrete Mathematics. Chapter 5 Trees. 7.1 Introduction. Tree A tree is a connected undirected graph that contains no circuits. Recall: A circuit is a path of length >=1 that begins and ends a the same vertex. Free tree. A (free) tree T is - PowerPoint PPT Presentation
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Page 1: Discrete Mathematics

Discrete Mathematics

Chapter 5 Trees

Page 2: Discrete Mathematics

7.1 Introduction Tree

A tree is a connected undirected graph that contains no circuits.

Recall: A circuit is a path of length >=1 that begins and ends a the same vertex.

Page 3: Discrete Mathematics

Free tree

A (free) tree T is A simple graph

such that for every pair of vertices v and w

there is a unique path from v to w

Page 4: Discrete Mathematics

Rooted tree

A rooted tree is a tree

where one of its vertices is

designated the root

Page 5: Discrete Mathematics

Level of a vertex and tree height

Let T be a rooted tree: The level l(v) of a vertex v is

the length of the simple path from v to the root of the tree

The height h of a rooted tree T is the maximum of all level numbers of its vertices:

h = max { l(v) } v V(T)

Example: the tree on the right has height 3

Page 6: Discrete Mathematics

7.2 Terminology

Page 7: Discrete Mathematics

Root The only node in

the tree with no parent

Leaf A node with no

children Siblings

Nodes with a common parent

Parent of node n The node directly

above node n in the tree

Child of node n A node directly

below node n in the tree

Page 8: Discrete Mathematics

Internal and terminal vertices

An internal vertex is a vertex that has at least one child

A terminal vertex is a vertex that has no children

The tree in the example has 4 internal vertices and 4 terminal vertices

Page 9: Discrete Mathematics

7.5 Binary trees A binary tree is a tree

where each vertex has zero, one or two children

Page 10: Discrete Mathematics

Full binary tree

A full binary tree is a binary tree in which each vertex has two or no children.

Page 11: Discrete Mathematics

Binary search trees Data are associated to

each vertex Order data alphabetically,

so that for each vertex v, data to the left of v are less than data in v

and data to the right of v are greater than data in v

Page 12: Discrete Mathematics

Example:

Number of nodes=7Number of comparison=4Element exists

Page 13: Discrete Mathematics

Example:

Number of nodes=7Number of comparison=3Element exists

Page 14: Discrete Mathematics

Example:

Key=15Number of nodes=7Number of comparison=4Element isn’t exists

Page 15: Discrete Mathematics

Building trees:

Page 16: Discrete Mathematics

Another example:

Page 17: Discrete Mathematics

Operations on trees:1)Insert or add on tree.

Page 18: Discrete Mathematics

2) Deletion.

Page 19: Discrete Mathematics

7.6 Tree Traversals

1: Pre-order traversal

NLR

Page 20: Discrete Mathematics
Page 21: Discrete Mathematics

7.6 Tree Traversals

1: in-order traversal

LNR

Page 22: Discrete Mathematics
Page 23: Discrete Mathematics

More on tree traversals 3: Post-order traversal

LRN

Page 24: Discrete Mathematics