This commit is contained in:
krahets
2024-05-06 14:40:36 +08:00
parent 7e7eb6047a
commit 5c7d2c7f17
54 changed files with 3456 additions and 215 deletions

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@@ -50,7 +50,7 @@ Below is the implementation code for graphs represented using an adjacency matri
for val in vertices:
self.add_vertex(val)
# Add edge
# Please note, edges elements represent vertex indices, corresponding to vertices elements indices
# Edges elements represent vertex indices
for e in edges:
self.add_edge(e[0], e[1])
@@ -111,7 +111,89 @@ Below is the implementation code for graphs represented using an adjacency matri
=== "C++"
```cpp title="graph_adjacency_matrix.cpp"
[class]{GraphAdjMat}-[func]{}
/* Undirected graph class based on adjacency matrix */
class GraphAdjMat {
vector<int> vertices; // Vertex list, elements represent "vertex value", index represents "vertex index"
vector<vector<int>> adjMat; // Adjacency matrix, row and column indices correspond to "vertex index"
public:
/* Constructor */
GraphAdjMat(const vector<int> &vertices, const vector<vector<int>> &edges) {
// Add vertex
for (int val : vertices) {
addVertex(val);
}
// Add edge
// Edges elements represent vertex indices
for (const vector<int> &edge : edges) {
addEdge(edge[0], edge[1]);
}
}
/* Get the number of vertices */
int size() const {
return vertices.size();
}
/* Add vertex */
void addVertex(int val) {
int n = size();
// Add new vertex value to the vertex list
vertices.push_back(val);
// Add a row to the adjacency matrix
adjMat.emplace_back(vector<int>(n, 0));
// Add a column to the adjacency matrix
for (vector<int> &row : adjMat) {
row.push_back(0);
}
}
/* Remove vertex */
void removeVertex(int index) {
if (index >= size()) {
throw out_of_range("Vertex does not exist");
}
// Remove vertex at `index` from the vertex list
vertices.erase(vertices.begin() + index);
// Remove the row at `index` from the adjacency matrix
adjMat.erase(adjMat.begin() + index);
// Remove the column at `index` from the adjacency matrix
for (vector<int> &row : adjMat) {
row.erase(row.begin() + index);
}
}
/* Add edge */
// Parameters i, j correspond to vertices element indices
void addEdge(int i, int j) {
// Handle index out of bounds and equality
if (i < 0 || j < 0 || i >= size() || j >= size() || i == j) {
throw out_of_range("Vertex does not exist");
}
// In an undirected graph, the adjacency matrix is symmetric about the main diagonal, i.e., satisfies (i, j) == (j, i)
adjMat[i][j] = 1;
adjMat[j][i] = 1;
}
/* Remove edge */
// Parameters i, j correspond to vertices element indices
void removeEdge(int i, int j) {
// Handle index out of bounds and equality
if (i < 0 || j < 0 || i >= size() || j >= size() || i == j) {
throw out_of_range("Vertex does not exist");
}
adjMat[i][j] = 0;
adjMat[j][i] = 0;
}
/* Print adjacency matrix */
void print() {
cout << "Vertex list = ";
printVector(vertices);
cout << "Adjacency matrix =" << endl;
printVectorMatrix(adjMat);
}
};
```
=== "Java"
@@ -131,7 +213,7 @@ Below is the implementation code for graphs represented using an adjacency matri
addVertex(val);
}
// Add edge
// Please note, edges elements represent vertex indices, corresponding to vertices elements indices
// Edges elements represent vertex indices
for (int[] e : edges) {
addEdge(e[0], e[1]);
}
@@ -297,7 +379,7 @@ Given an undirected graph with a total of $n$ vertices and $m$ edges, the variou
<p align="center"> Figure 9-8 &nbsp; Initialization, adding and removing edges, adding and removing vertices in adjacency list </p>
Below is the adjacency list code implementation. Compared to the above diagram, the actual code has the following differences.
Below is the adjacency list code implementation. Compared to Figure 9-8, the actual code has the following differences.
- For convenience in adding and removing vertices, and to simplify the code, we use lists (dynamic arrays) instead of linked lists.
- Use a hash table to store the adjacency list, `key` being the vertex instance, `value` being the list (linked list) of adjacent vertices of that vertex.
@@ -369,7 +451,86 @@ Additionally, we use the `Vertex` class to represent vertices in the adjacency l
=== "C++"
```cpp title="graph_adjacency_list.cpp"
[class]{GraphAdjList}-[func]{}
/* Undirected graph class based on adjacency list */
class GraphAdjList {
public:
// Adjacency list, key: vertex, value: all adjacent vertices of that vertex
unordered_map<Vertex *, vector<Vertex *>> adjList;
/* Remove a specified node from vector */
void remove(vector<Vertex *> &vec, Vertex *vet) {
for (int i = 0; i < vec.size(); i++) {
if (vec[i] == vet) {
vec.erase(vec.begin() + i);
break;
}
}
}
/* Constructor */
GraphAdjList(const vector<vector<Vertex *>> &edges) {
// Add all vertices and edges
for (const vector<Vertex *> &edge : edges) {
addVertex(edge[0]);
addVertex(edge[1]);
addEdge(edge[0], edge[1]);
}
}
/* Get the number of vertices */
int size() {
return adjList.size();
}
/* Add edge */
void addEdge(Vertex *vet1, Vertex *vet2) {
if (!adjList.count(vet1) || !adjList.count(vet2) || vet1 == vet2)
throw invalid_argument("Vertex does not exist");
// Add edge vet1 - vet2
adjList[vet1].push_back(vet2);
adjList[vet2].push_back(vet1);
}
/* Remove edge */
void removeEdge(Vertex *vet1, Vertex *vet2) {
if (!adjList.count(vet1) || !adjList.count(vet2) || vet1 == vet2)
throw invalid_argument("Vertex does not exist");
// Remove edge vet1 - vet2
remove(adjList[vet1], vet2);
remove(adjList[vet2], vet1);
}
/* Add vertex */
void addVertex(Vertex *vet) {
if (adjList.count(vet))
return;
// Add a new linked list to the adjacency list
adjList[vet] = vector<Vertex *>();
}
/* Remove vertex */
void removeVertex(Vertex *vet) {
if (!adjList.count(vet))
throw invalid_argument("Vertex does not exist");
// Remove the vertex vet's corresponding linked list from the adjacency list
adjList.erase(vet);
// Traverse other vertices' linked lists, removing all edges containing vet
for (auto &adj : adjList) {
remove(adj.second, vet);
}
}
/* Print the adjacency list */
void print() {
cout << "Adjacency list =" << endl;
for (auto &adj : adjList) {
const auto &key = adj.first;
const auto &vec = adj.second;
cout << key->val << ": ";
printVector(vetsToVals(vec));
}
}
};
```
=== "Java"

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@@ -55,7 +55,32 @@ To prevent revisiting vertices, we use a hash set `visited` to record which node
=== "C++"
```cpp title="graph_bfs.cpp"
[class]{}-[func]{graphBFS}
/* Breadth-first traversal */
// Use adjacency list to represent the graph, to obtain all adjacent vertices of a specified vertex
vector<Vertex *> graphBFS(GraphAdjList &graph, Vertex *startVet) {
// Vertex traversal sequence
vector<Vertex *> res;
// Hash set, used to record visited vertices
unordered_set<Vertex *> visited = {startVet};
// Queue used to implement BFS
queue<Vertex *> que;
que.push(startVet);
// Starting from vertex vet, loop until all vertices are visited
while (!que.empty()) {
Vertex *vet = que.front();
que.pop(); // Dequeue the vertex at the head of the queue
res.push_back(vet); // Record visited vertex
// Traverse all adjacent vertices of that vertex
for (auto adjVet : graph.adjList[vet]) {
if (visited.count(adjVet))
continue; // Skip already visited vertices
que.push(adjVet); // Only enqueue unvisited vertices
visited.emplace(adjVet); // Mark the vertex as visited
}
}
// Return the vertex traversal sequence
return res;
}
```
=== "Java"
@@ -246,9 +271,29 @@ This "go as far as possible and then return" algorithm paradigm is usually imple
=== "C++"
```cpp title="graph_dfs.cpp"
[class]{}-[func]{dfs}
/* Depth-first traversal helper function */
void dfs(GraphAdjList &graph, unordered_set<Vertex *> &visited, vector<Vertex *> &res, Vertex *vet) {
res.push_back(vet); // Record visited vertex
visited.emplace(vet); // Mark the vertex as visited
// Traverse all adjacent vertices of that vertex
for (Vertex *adjVet : graph.adjList[vet]) {
if (visited.count(adjVet))
continue; // Skip already visited vertices
// Recursively visit adjacent vertices
dfs(graph, visited, res, adjVet);
}
}
[class]{}-[func]{graphDFS}
/* Depth-first traversal */
// Use adjacency list to represent the graph, to obtain all adjacent vertices of a specified vertex
vector<Vertex *> graphDFS(GraphAdjList &graph, Vertex *startVet) {
// Vertex traversal sequence
vector<Vertex *> res;
// Hash set, used to record visited vertices
unordered_set<Vertex *> visited;
dfs(graph, visited, res, startVet);
return res;
}
```
=== "Java"