图论算法:拓扑排序(Topological Sort)
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拓扑在计算机科学中的意思是能够把对象进行安排,使得它们可以被边连接。
从一个偏序(自反的、反对称的和传递的关系)构造一个相容的全序(集合中每对元素都可比,即每对元素都满足所定义的偏序关系R)叫做拓扑排序,这里的R可以定义为:元素a,b是需要执行的任务,b开始当且仅当a结束。
下面是伪代码:
Procedure topological sort((S, <<): finite partially ordered set)
k:=1
while S <> ∅
ak:=the minimal of S
S:=S-{ak}
k:=k+1
return a1,a2,a3,...,an{a1,a2,a3,...,an is a topological order}
这样做的道理是极小元一定存在。
画出Hasse图以后很容易找到拓扑排序。
在编程的时候需要找到入度为0的点(优先级最低),没有这种点,这个图一定有环。
4-13 Topological Sort (25分)
Write a program to find the topological order in a digraph.
Format of functions:
bool TopSort( LGraph Graph, Vertex TopOrder[] );
where LGraph
is defined as the following:
typedef struct AdjVNode *PtrToAdjVNode; struct AdjVNode{ Vertex AdjV; PtrToAdjVNode Next;};typedef struct Vnode{ PtrToAdjVNode FirstEdge;} AdjList[MaxVertexNum];typedef struct GNode *PtrToGNode;struct GNode{ int Nv; int Ne; AdjList G;};typedef PtrToGNode LGraph;
The topological order is supposed to be stored in TopOrder[]
where TopOrder[i]
is the i
-th vertex in the resulting sequence. The topological sort cannot be successful if there is a cycle in the graph -- in that case TopSort
must return false
; otherwise return true
.
Notice that the topological order might not be unique, but the judge's input guarantees the uniqueness of the result.
Sample program of judge:
#include <stdio.h>#include <stdlib.h>typedef enum {false, true} bool;#define MaxVertexNum 10 /* maximum number of vertices */typedef int Vertex; /* vertices are numbered from 0 to MaxVertexNum-1 */typedef struct AdjVNode *PtrToAdjVNode; struct AdjVNode{ Vertex AdjV; PtrToAdjVNode Next;};typedef struct Vnode{ PtrToAdjVNode FirstEdge;} AdjList[MaxVertexNum];typedef struct GNode *PtrToGNode;struct GNode{ int Nv; int Ne; AdjList G;};typedef PtrToGNode LGraph;LGraph ReadG(); /* details omitted */bool TopSort( LGraph Graph, Vertex TopOrder[] );int main(){ int i; Vertex TopOrder[MaxVertexNum]; LGraph G = ReadG(); if ( TopSort(G, TopOrder)==true ) for ( i=0; i<G->Nv; i++ ) printf("%d ", TopOrder[i]); else printf("ERROR"); printf("\n"); return 0;}/* Your function will be put here */
Sample Input 1 (for the graph shown in the figure):
5 71 04 32 12 03 24 14 2
Sample Output 1:
4 3 2 1 0
Sample Input 2 (for the graph shown in the figure):
5 80 31 04 32 12 03 24 14 2
Sample Output 2:
ERROR
1)需要用一个数组记录每个点的入度
2)遍历这个数组,度为0的加到栈里
3)出栈,把这个顶点放到记录顺序的数组,在邻接表中找到这个顶点,把与它邻接的顶点的度减1,如果减了以后度为0,入栈
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