拓扑排序的实现_TopoSort
最后更新于：2022-04-01 20:52:02
拓扑排序是求一个AOV网(顶点代表活动, 各条边表示活动之间的领先关系的有向图)中各活动的一个拓扑序列的运算, 可用于测试AOV网络的可行性.
整个算法包括三步:
1.计算每个顶点的入度, 存入InDegree数组中.
2.检查InDegree数组中顶点的入度, 将入度为零的顶点进栈.
3.不断从栈中弹出入度为0的顶点并输出, 并将该顶点为尾的所有邻接点的入度减1, 若此时某个邻接点的入度为0, 便领其进栈. 重复步骤,直到栈为空时为止. 此时, 或者所有顶点都已列出, 或者因图中包含有向回路, 顶点未能全部列出.
实现代码:
~~~
#include "iostream"
#include "cstdio"
#include "cstring"
#include "algorithm"
#include "queue"
#include "stack"
#include "cmath"
#include "utility"
#include "map"
#include "set"
#include "vector"
#include "list"
#include "string"
using namespace std;
typedef long long ll;
const int MOD = 1e9 + 7;
const int INF = 0x3f3f3f3f;
enum ResultCode { Underflow, Overflow, Success, Duplicate, NotPresent, Failure, HasCycle };
template
struct ENode
{
ENode() { nxtArc = NULL; }
ENode(int vertex, T weight, ENode *nxt) {
adjVex = vertex;
w = weight;
nxtArc = nxt;
}
int adjVex;
T w;
ENode *nxtArc;
/* data */
};
template
class Graph
{
public:
virtual ~Graph() {}
virtual ResultCode Insert(int u, int v, T &w) = 0;
virtual ResultCode Remove(int u, int v) = 0;
virtual bool Exist(int u, int v) const = 0;
/* data */
};
template
class LGraph: public Graph
{
public:
LGraph(int mSize);
~LGraph();
ResultCode Insert(int u, int v, T &w);
ResultCode Remove(int u, int v);
bool Exist(int u, int v) const;
int Vertices() const { return n; }
void Output();
protected:
ENode **a;
int n, e;
/* data */
};
template
void LGraph::Output()
{
ENode *q;
for(int i = 0; i < n; ++i) {
q = a[i];
while(q) {
cout << '(' << i << ' ' << q -> adjVex << ' ' << q -> w << ')';
q = q -> nxtArc;
}
cout << endl;
}
cout << endl << endl;
}
template
LGraph::LGraph(int mSize)
{
n = mSize;
e = 0;
a = new ENode*[n];
for(int i = 0; i < n; ++i)
a[i] = NULL;
}
template
LGraph::~LGraph()
{
ENode *p, *q;
for(int i = 0; i < n; ++i) {
p = a[i];
q = p;
while(p) {
p = p -> nxtArc;
delete q;
q = p;
}
}
delete []a;
}
template
bool LGraph::Exist(int u, int v) const
{
if(u < 0 || v < 0 || u > n - 1 || v > n - 1 || u == v) return false;
ENode *p = a[u];
while(p && p -> adjVex != v) p = p -> nxtArc;
if(!p) return false;
return true;
}
template
ResultCode LGraph::Insert(int u, int v, T &w)
{
if(u < 0 || v < 0 || u > n - 1 || v > n - 1 || u == v) return Failure;
if(Exist(u, v)) return Duplicate;
ENode *p = new ENode(v, w, a[u]);
a[u] = p;
e++;
return Success;
}
template
ResultCode LGraph::Remove(int u, int v)
{
if(u < 0 || v < 0 || u > n - 1 || v > n - 1 || u == v) return Failure;
ENode *p = a[u], *q = NULL;
while(p && p -> adjVex != v) {
q = p;
p = p -> nxtArc;
}
if(!p) return NotPresent;
if(q) q -> nxtArc = p -> nxtArc;
else a[u] = p -> nxtArc;
delete p;
e--;
return Success;
}
template
class ExtLgraph: public LGraph
{
public:
ExtLgraph(int mSize): LGraph(mSize) {}
void TopoSort(int *order);
private:
void CallInDegree(int *InDegree);
/* data */
};
template
void ExtLgraph::TopoSort(int *order)
{
int *InDegree = new int[LGraph::n];
int top = -1; // 置栈顶指针为-1, 代表空栈
ENode *p;
CallInDegree(InDegree); // 计算每个顶点的入度
for(int i = 0; i < LGraph::n; ++i)
if(!InDegree[i]) { // 图中入度为零的顶点进栈
InDegree[i] = top;
top = i;
}
for(int i = 0; i < LGraph::n; ++i) { // 生成拓扑排序
if(top == -1) throw HasCycle; // 若堆栈为空, 说明图中存在有向环
else {
int j = top;
top = InDegree[top]; // 入度为0的顶点出栈
order[i] = j;
cout << j << ' ';
for(p = LGraph::a[j]; p; p = p -> nxtArc) { // 检查以顶点j为尾的所有邻接点
int k = p -> adjVex; // 将j的出邻接点入度减1
InDegree[k]--;
if(!InDegree[k]) { // 顶点k入度为0时进栈
InDegree[k] = top;
top = k;
}
}
}
}
}
template
void ExtLgraph::CallInDegree(int *InDegree)
{
for(int i = 0; i < LGraph::n; ++i)
InDegree[i] = 0; // 初始化InDegree数组
for(int i = 0; i < LGraph::n; ++i)
for(ENode *p = LGraph::a[i]; p; p = p -> nxtArc) // 检查以顶点i为尾的所有邻接点
InDegree[p -> adjVex]++; // 将顶点i的邻接点p -> adjVex的入度加1
}
int main(int argc, char const *argv[])
{
ExtLgraph lg(9);
int w = 10; lg.Insert(0, 2, w); lg.Insert(0, 7, w);
lg.Insert(2, 3, w); lg.Insert(3, 5, w);
lg.Insert(3, 6, w); lg.Insert(4, 5, w);
lg.Insert(7, 8, w); lg.Insert(8, 6, w);
int *order = new int[9];
lg.TopoSort(order);
cout << endl;
delete []order;
return 0;
}
~~~
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