c ++拓扑排序给出不正确的输出
c++ topological sort giving incorrect output
经过广泛的测试和调试，我终其一生都无法找出我的拓扑排序算法产生错误输出的原因。它只是按降序列出节点的值，而不是按拓扑对它们进行排序。我列出了所有相关的 classes/input 文件。任何提示或帮助表示赞赏，在此先感谢。
Header 对于 class 图：
/*
2/19/2016
This is the header for class graph. It includes the definition of a node
and the function signatures
*/
#pragma once
#include <iostream>
using namespace std;
struct node
{
// actual value at each node
int value;
// discovered time
int d;
// finished time
int f;
// keep track of how many edges each vertex has
int numEdges;
// keep track of color of node
char color;
// parent (previous) node
node* p;
// next node
node* next;
};
// Class to represent a graph
class Graph
{
public:
// constructor, give number of vertexes
Graph(int V);
// depth first search
void DFS();
// function to print sorted nodes
void print();
// function for reading file into adjacency list
void readFile(istream& in);
private:
// private function called in depth first search, visits every vertex
// of each edge in the graph
void DFSVisit(node* u);
// number of vertices
int V;
// array of node pointers, first node in each array is
// the vertex and following nodes are edges
node* adj[9];
// linked list to keep track of the sorted list found from depth first search
node* sorted;
// keep track of when each node is discovered/finished
int time;
// keep track of number of backedges
int backEdge;
};
class 图的 cpp 文件
/*
2/19/2016
This is the cpp file for class graph. It defines function behavior
*/
#include "Graph.h"
using namespace std;
#include <iostream>
#include <string>
Graph::Graph(int V)
{
// set graph's number of vertexes to number input
this->V = V;
this->backEdge = 0;
}
// Depth first search
void Graph::DFS()
{
// initialize all colors to white and parent to null
for (int i = 0; i < V; i++)
{
adj[i]->color = 'w';
adj[i]->p = NULL;
}
// initialize time to 0
time = 0;
// for each vertex, if it is white, visit its adjacent nodes
for (int i = 0; i < V; i++)
{
if (adj[i]->color == 'w') {
DFSVisit(adj[i]);
}
}
}
// Visit node used by depth first search
void Graph::DFSVisit(node* u)
{
// increment time
time++;
// set u's discovered time
u->d = time;
// set color to grey for visited but not finished
u->color = 'g';
// visit each adjacency, number of adjacencies stored by numEdges
for (int i = 0; i < u->numEdges; i++)
{
// create node pointing at u next
node* v = u->next;
// if the node is already grey, then it is a backedge
if (v->color == 'g') {
backEdge++;
}
// if it is white and undiscovered, set its parent to u and visit v's next nodes
else if (v->color == 'w') {
v->p = u;
DFSVisit(v);
}
}
// set last node to black
u->color = 'b';
// increment time
time++;
// set finishing time
u->f = time;
if (backEdge == 0) {
// adds a node to front of linked list that contains sorted values
node* newNode = new node;
newNode->next = sorted;
newNode->value = u->value;
sorted = newNode;
}
}
void Graph::print()
{
if (backEdge == 0) {
node* curr = sorted;
if (sorted == NULL) {
return;
}
else {
cout << "Sorted List:\n";
for (; curr; curr = curr->next)
{
cout << curr->value << " ";
}
cout << endl;
}
}
else cout << "Backedges: " << backEdge << endl;
}
void Graph::readFile(istream& in)
{
// create node pointers to use later
node* head;
node* prev;
node* curr;
// temp string to use while reading file
string temp;
int j;
// loop iterate vertex number of times
for (int i = 0; i < V; i++)
{
// 3rd character in string holds name of first edge
j = 3;
// read line by line
getline(in, temp);
// debug print out adjacency list
// cout << temp << endl;
// create head node, set value to value of vertex, put it at beginning of each linked list
head = new node;
head->value = i + 1;
adj[i] = head;
// set numEdges to 0 when row is started
adj[i]->numEdges = 0;
// set prev to head at end of each outer loop
prev = head;
// read every adjacency for each vertex, once j goes outside of string reading is done
while (j < temp.length()) {
// increment numEdges, meaning vertex has one more adjacency
adj[i]->numEdges++;
// create node and put in value, found by moving j up two spaces and subtracting 48
// because it is a char casted as an int
curr = new node;
curr->value = (int)temp.at(j) - 48;
// connect node, increment j by 2 because adjacencies separated by a whitespace
prev->next = curr;
prev = curr;
j += 2;
}
}
}
driver为程序
/*
2/19/2016
This is the driver for the topological sort project. It reads a file of
vertexes and edges into an adjacency list and performs a depth first
search on that graph representation, creating a topological sort
if no backedges exist, this indicates a DAG or directed acyclic graph
if backedges do exist, this indicates a graph containing cycles meaning
it cannot be topologically sorted
*/
#include <iostream>
#include <fstream>
#include <string>
#include "Graph.h"
using namespace std;
string FILE_NAME = "graphin-DAG.txt";
int NUM_VERTICES = 9;
int main()
{
// create graph object giving number of vertices
Graph myGraph(NUM_VERTICES);
// open file
ifstream fin(FILE_NAME);
// validate that file was successfully opened, without file print
// error and exit program
if (!fin.is_open()) {
cerr << "Error opening " + FILE_NAME + " for reading." << endl;
exit(1);
}
// read file into adjacency list
myGraph.readFile(fin);
// perform depth first search
myGraph.DFS();
// if graph is a DAG, print topological sort, else print backedges
// this is handled by the print function checking backedges data member
myGraph.print();
}
和输入文件
1: 2
2: 3 8
3: 4
4: 5
5: 9
6: 4 7
7: 3 8
8: 9
9:
也是邻接表表示的图的直观表示：
http://i.imgur.com/6fEjlDY.png
我认为主要问题是 'real' 节点和邻接列表中的节点之间存在一些混淆。至少我弄糊涂了，所以我将结构拆分为 struct Node 和 struct Adj。该图现在有一个 Node* nodes[9] 节点。
struct Node;
struct Adj
{
Node* node;
Adj* next;
};
struct Node
{
// actual value at each node
int value;
// discovered time
int d;
// finished time
int f;
// keep track of color of node
char color;
// the list od adjacencies for the node
Adj* adj;
};
而且事情似乎立即奏效。答案
Sorted List:
6 7 3 4 5 1 2 8 9
似乎是正确的，[6 7 3 4 5] 和 [1 2 8 9]。请参阅工作示例 here
请注意，代码仍然存在许多问题，尤其是。关于内存管理。考虑使用 vector<Node> 和 std::vector<Adj>。结构中也有未初始化的变量。
经过广泛的测试和调试，我终其一生都无法找出我的拓扑排序算法产生错误输出的原因。它只是按降序列出节点的值，而不是按拓扑对它们进行排序。我列出了所有相关的 classes/input 文件。任何提示或帮助表示赞赏，在此先感谢。 Header 对于 class 图：
/*
2/19/2016
This is the header for class graph. It includes the definition of a node
and the function signatures
*/
#pragma once
#include <iostream>
using namespace std;
struct node
{
// actual value at each node
int value;
// discovered time
int d;
// finished time
int f;
// keep track of how many edges each vertex has
int numEdges;
// keep track of color of node
char color;
// parent (previous) node
node* p;
// next node
node* next;
};
// Class to represent a graph
class Graph
{
public:
// constructor, give number of vertexes
Graph(int V);
// depth first search
void DFS();
// function to print sorted nodes
void print();
// function for reading file into adjacency list
void readFile(istream& in);
private:
// private function called in depth first search, visits every vertex
// of each edge in the graph
void DFSVisit(node* u);
// number of vertices
int V;
// array of node pointers, first node in each array is
// the vertex and following nodes are edges
node* adj[9];
// linked list to keep track of the sorted list found from depth first search
node* sorted;
// keep track of when each node is discovered/finished
int time;
// keep track of number of backedges
int backEdge;
};
class 图的 cpp 文件
/*
2/19/2016
This is the cpp file for class graph. It defines function behavior
*/
#include "Graph.h"
using namespace std;
#include <iostream>
#include <string>
Graph::Graph(int V)
{
// set graph's number of vertexes to number input
this->V = V;
this->backEdge = 0;
}
// Depth first search
void Graph::DFS()
{
// initialize all colors to white and parent to null
for (int i = 0; i < V; i++)
{
adj[i]->color = 'w';
adj[i]->p = NULL;
}
// initialize time to 0
time = 0;
// for each vertex, if it is white, visit its adjacent nodes
for (int i = 0; i < V; i++)
{
if (adj[i]->color == 'w') {
DFSVisit(adj[i]);
}
}
}
// Visit node used by depth first search
void Graph::DFSVisit(node* u)
{
// increment time
time++;
// set u's discovered time
u->d = time;
// set color to grey for visited but not finished
u->color = 'g';
// visit each adjacency, number of adjacencies stored by numEdges
for (int i = 0; i < u->numEdges; i++)
{
// create node pointing at u next
node* v = u->next;
// if the node is already grey, then it is a backedge
if (v->color == 'g') {
backEdge++;
}
// if it is white and undiscovered, set its parent to u and visit v's next nodes
else if (v->color == 'w') {
v->p = u;
DFSVisit(v);
}
}
// set last node to black
u->color = 'b';
// increment time
time++;
// set finishing time
u->f = time;
if (backEdge == 0) {
// adds a node to front of linked list that contains sorted values
node* newNode = new node;
newNode->next = sorted;
newNode->value = u->value;
sorted = newNode;
}
}
void Graph::print()
{
if (backEdge == 0) {
node* curr = sorted;
if (sorted == NULL) {
return;
}
else {
cout << "Sorted List:\n";
for (; curr; curr = curr->next)
{
cout << curr->value << " ";
}
cout << endl;
}
}
else cout << "Backedges: " << backEdge << endl;
}
void Graph::readFile(istream& in)
{
// create node pointers to use later
node* head;
node* prev;
node* curr;
// temp string to use while reading file
string temp;
int j;
// loop iterate vertex number of times
for (int i = 0; i < V; i++)
{
// 3rd character in string holds name of first edge
j = 3;
// read line by line
getline(in, temp);
// debug print out adjacency list
// cout << temp << endl;
// create head node, set value to value of vertex, put it at beginning of each linked list
head = new node;
head->value = i + 1;
adj[i] = head;
// set numEdges to 0 when row is started
adj[i]->numEdges = 0;
// set prev to head at end of each outer loop
prev = head;
// read every adjacency for each vertex, once j goes outside of string reading is done
while (j < temp.length()) {
// increment numEdges, meaning vertex has one more adjacency
adj[i]->numEdges++;
// create node and put in value, found by moving j up two spaces and subtracting 48
// because it is a char casted as an int
curr = new node;
curr->value = (int)temp.at(j) - 48;
// connect node, increment j by 2 because adjacencies separated by a whitespace
prev->next = curr;
prev = curr;
j += 2;
}
}
}
driver为程序
/*
2/19/2016
This is the driver for the topological sort project. It reads a file of
vertexes and edges into an adjacency list and performs a depth first
search on that graph representation, creating a topological sort
if no backedges exist, this indicates a DAG or directed acyclic graph
if backedges do exist, this indicates a graph containing cycles meaning
it cannot be topologically sorted
*/
#include <iostream>
#include <fstream>
#include <string>
#include "Graph.h"
using namespace std;
string FILE_NAME = "graphin-DAG.txt";
int NUM_VERTICES = 9;
int main()
{
// create graph object giving number of vertices
Graph myGraph(NUM_VERTICES);
// open file
ifstream fin(FILE_NAME);
// validate that file was successfully opened, without file print
// error and exit program
if (!fin.is_open()) {
cerr << "Error opening " + FILE_NAME + " for reading." << endl;
exit(1);
}
// read file into adjacency list
myGraph.readFile(fin);
// perform depth first search
myGraph.DFS();
// if graph is a DAG, print topological sort, else print backedges
// this is handled by the print function checking backedges data member
myGraph.print();
}
和输入文件
1: 2
2: 3 8
3: 4
4: 5
5: 9
6: 4 7
7: 3 8
8: 9
9:
也是邻接表表示的图的直观表示： http://i.imgur.com/6fEjlDY.png
我认为主要问题是 'real' 节点和邻接列表中的节点之间存在一些混淆。至少我弄糊涂了，所以我将结构拆分为 struct Node 和 struct Adj。该图现在有一个 Node* nodes[9] 节点。
struct Node;
struct Adj
{
Node* node;
Adj* next;
};
struct Node
{
// actual value at each node
int value;
// discovered time
int d;
// finished time
int f;
// keep track of color of node
char color;
// the list od adjacencies for the node
Adj* adj;
};
而且事情似乎立即奏效。答案
Sorted List:
6 7 3 4 5 1 2 8 9
似乎是正确的，[6 7 3 4 5] 和 [1 2 8 9]。请参阅工作示例 here
请注意，代码仍然存在许多问题，尤其是。关于内存管理。考虑使用 vector<Node> 和 std::vector<Adj>。结构中也有未初始化的变量。