CS计算机代考程序代写 data structure Graphs

Graphs
Sections 22.1-22.3 and Appendix B.4

Definition
› A graph G is composed of two sets:
– A set of vertices V
– A set of edges E whose endpoints are drawn from V

Types of Graphs
› Undirected
– Each edge connects two vertices but has no orientation
› Directed
– Each edge connects two vertices and is oriented from one vertex to the other
A
BAB (A,B) = (B,A) (A,B) ≠ (B, A)

Types of Graphs
› Unweighted
– Each edge has no additional attributes
› Weighted
– Each edge has one or more additional attributes
ABAB 200

Undirected, weighted graph
V={ 0,1,2,…,8}
E = { (0,1), (0,7), (1,2), (1,7), (2,3), (2,5), (2,8), … }

Four primary methods
› void AddVertex (T name)
› void RemoveVertex (T name)
› void AddEdge (T name1, T name2, int cost) › void RemoveEdge (T name1, T name2)
› Which is likely to be the most difficult to implement?

Two important additional methods
› void DepthFirstSearch( )
› void BreadthFirstSearch( )
› Used to traverse the graph (compare with the preorder, inorder, and postorder traversals of a binary tree)

Adjacency Matrix
for a directed, weighted graph

Data structure
› public T[] V { set; get; } // Vertex list
› public int[,] E { set; get; } // Adjacency matrix › public int NumVertices { set; get; }
› public int MaxNumVertices { set; get; }

Initially
› NumVertices 0
› MaxNumVertices 6
012345
0 1 2 3 4 5
VE

AddVertex(“yul”)
› NumVertices 1
› MaxNumVertices 6
yul
012345
yul
-1
0 1 2 3 4 5
VE

AddVertex(“yyz”)
› NumVertices 2
› MaxNumVertices 6
yul
012345
yul
yyz
-1
-1
-1
-1
0 1 2 3 4 5
yyz
VE

AddVertex(“lax”)
› NumVertices 3
› MaxNumVertices 6
yul
012345
yul
yyz
lax
-1
-1
-1
-1
-1
-1
-1
-1
-1
0 1 2 3 4 5
yyz
lax
VE

AddVertex(“lhr”)
› NumVertices 4
› MaxNumVertices 6
yul
012345
yul
yyz
lax
lhr
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
0 1 2 3 4 5
yyz
lax
lhr
VE

AddVertex(“yfb”)
› NumVertices 5
› MaxNumVertices 6
yul
012345
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
0 1 2 3 4 5
yyz
lax
lhr
yfb
VE

AddEdges
› NumVertices 5
› MaxNumVertices 6
012345
20
yul
30 45
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
0
1
2
3
4
5 50
VE
yyz 15
lax
60 7070
lhr
yfb 10
loop

AddEdges
› NumVertices 5
› MaxNumVertices 6
012345
20
sink
yul
30 45
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
60
-1
30
15
-1
70
-1
-1
70
-1
-1
50
45
-1
-1
-1
10
0
1
2
3
4
5 50
VE
yyz
lax
source
15
60 7070
lhr
yfb 10

RemoveEdge(“lax”, “yyz”)
› NumVertices 5
› MaxNumVertices 6
012345
20
sink
yul
30 45
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
60
-1
30
15
-1
70
-1
-1
70
-1
-1
50
45
-1
-1
-1
10
0
1
2
3
4
5 50
VE
yyz
lax
source
15
60 7070
lhr
yfb 10

RemoveEdge(“lax”, “yyz”)
› NumVertices 5
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
60
-1
30
-1
-1
70
-1
-1
70
-1
-1
50
45
-1
-1
-1
10
0
1
2
3
4
5 50
VE
yyz 70
lax
60 lhr
70
yfb 10

RemoveVertex(“yyz”)
› NumVertices 5
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
60
-1
30
-1
-1
70
-1
-1
70
-1
-1
50
45
-1
-1
-1
10
0
1
2
3
4
5 50
VE
yyz 70
lax
60 lhr
70
yfb 10

First attempt
› NumVertices 4
› MaxNumVertices 6
012345
sink
yul
30 45
source
yul

lax
lhr
yfb
-1
-1
-1
-1
-1
-1
-1
-1
-1
-1
30
-1
-1
70
-1
-1
-1
-1
-1
50
45
-1
-1
-1
10
0
1
2
3
4
5 50
VE
lax
70
lhr
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
60
-1
30
-1
-1
70
-1
-1
70
-1
-1
50
45
-1
-1
-1
10
0
1
2
3
4
5 50
VE
yyz 70
lax
60 lhr
70
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
60
-1
30
-1
-1
70
-1
-1
70
-1
-1
50
45
-1
-1
-1
10
0
1
2
3
4
5 50
VE
yyz 70
lax
60 lhr
70
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
60
10
30
-1
-1
70
-1
-1
70
-1
-1
50
45
10
-1
-1
10
0
1
2
3
4
5 50
VE
yyz 70
lax
60 lhr
70
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
-1
10
30
-1
-1
70
-1
-1
50
-1
-1
50
45
10
-1
-1
10
0
1
2
3
4
5 50
VE
yyz
lax
70
lhr
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
-1
-1
-1
10
30
-1
-1
70
-1
-1
50
-1
-1
50
45
10
-1
-1
10
0
1
2
3
4
5 50
VE
yyz
lax
70
lhr
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
20
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
20
10
-1
-1
10
30
-1
-1
70
-1
-1
50
-1
-1
50
45
10
-1
-1
10
0
1
2
3
4
5 50
VE
yyz
lax
70
lhr
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
sink
yul
30 45
source
yul
yyz
lax
lhr
yfb
-1
-1
-1
-1
-1
45
10
-1
-1
10
30
-1
-1
70
-1
-1
50
-1
-1
50
45
10
-1
-1
10
0
1
2
3
4
5 50
VE
yyz
lax
70
lhr
yfb 10

Second (better) attempt
› NumVertices 4
› MaxNumVertices 6
012345
sink
yul
30 45
source
yul
yfb
lax
lhr
yfb
-1
-1
-1
-1
-1
45
10
-1
-1
10
30
-1
-1
70
-1
-1
50
-1
-1
50
45
10
-1
-1
10
0
1
2
3
4
5 50
VE
lax
70
lhr
yfb 10

A few additional points
› A supporting method called FindVertex(T name) is needed to map the vertex name to its index. The value -1 is returned if the vertex is not found. The running time of FindVertex is O(n) in the worst case.
› Adjacency matrices can be used to represent undirected and unweighted graphs as well. What changes need to be made?

Exercises
› Let G be weighted, directed graph.
› Write a method that:
– Returns the number of edges in G
– Returns true if a given vertex is a sink (or source); false otherwise – Returns the in/outdegree of a vertex
– Reverses the orientation of all edges
– Returns true if there are no loops; false otherwise
› Show why the loop in RemoveVertex cannot be reversed to:
for (j=0; j<=NumVertices; j++) { ... }