Problem Description
= (V, E) in, (u, v) represents a linking edge vertex u to vertex v in the graph G in a given free, and W (u, v) representation of this edge weight, if T is present as and E is the sub-set of acyclic graph, so that W (T) minimum, this minimum spanning tree T of G.
(A) Kruskal algorithm:
on the side sort, be greedy minimal side from the start, each considered as a collection point, if not the same side at both ends of a collection among the two sets merge. Until the rest of a collection is the minimum spanning tree.
(B) Prim's algorithm:
Pick a point for the beginning of the set, find the nearest point from this collection to the collection.
Design
[Core Pseudocode]
Minimum Spanning Tree:
(a) the Kruskal algorithm:
establishing an array of structures A, save his side and two end points; n-
enter;
array A was brought to large order; logN
create arrays each B is set equal to themselves and, as an element of each set;
traversing the side a, if the operation is not bilateral in the same set, or combined two sets, the output side; n-
(ii) Prim's algorithm:
establishing a two-dimensional FIG array a is stored;
enter;
established B array set all bits to 0; n
traversing the first side of the connection point, and the minimum mark this point in the array and the point B 1 is set to 1, the output side; <n
cycles {
the If (B are all 1) BREAK;
through all points labeled 1, 0 point marked recently connected with them, which is set to 1, the output side;
}; <n-n-* * (n-1-)
Analysis
In few cases kruskal side should be higher than the efficiency of prim
Source
[GitHub Source Address]
No Git;
kruskal:
#include <fstream>
#include <iostream>
#include <stdio.h>
#include <stdlib.h>
#include <string>
using namespace std;
struct edge
{
int a, b, len;
};
int cmp(const void *a, const void *b)
{
int c = (*(edge *)a).len, d = (*(edge *)b).len;
return c-d;
}
int B[10];
int find(int a){
return B[a] == a ? a : B[a]=find(B[a]);
}
int main()
{
ifstream in;
in.open("input.txt");
int m, n;
in >> m >> n;
struct edge A[15];
//初始化数组
for (int i = 0; i < m; i++)
{
B[i] = i;
}
//存图
for (int i = 0; i < n; i++)
{
char a, b;
int c;
in >> a >> b >> c;
a -= 'a';
b -= 'a';
A[i].a = a;
A[i].b = b;
A[i].len = c;
}
qsort(A, n, sizeof(A[0]), cmp);
for (int i = 0; i < n; i++)
{
if (find(A[i].a)!=find(A[i].b)){
B[find(A[i].b)] = find(A[i].a);
cout << (char)(A[i].b+'a') << "--" << (char)(A[i].a+'a') << " " << A[i].len << endl;
}
}
in.close();
}
prim:
#include <fstream>
#include <iostream>
#include <string>
using namespace std;
int main()
{
ifstream in;
in.open("input.txt");
int A[10][10], m, n, B[10];
in >> m >> n;
//初始化数组
for (int i = 0; i < m; i++)
{
B[i] = 0;
for (int j = 0; j <= i; j++)
{
A[i][j] = A[j][i] = INT32_MAX;
}
}
//存图
for (int i = 0; i < n; i++)
{
char a, b;
int c;
in >> a >> b >> c;
a -= 'a';
b -= 'a';
A[a][b] = A[b][a] = c;
}
//处理第一个点
int date = INT32_MAX, flag = 0;
for (int i = 0; i < m; i++)
{
if (A[0][i] < date)
{
flag = i;
date = A[0][i];
}
}
cout << 'a' << "--" << (char)(flag + 'a') << " "<<date << endl;
B[0] = B[flag] = 1;
while (1)
{
date = INT32_MAX, flag = 0;
int flag2 = 0;
int break_date = 0;
for (int i = 0; i < m; i++)
{
if (B[i] == 0)
break_date = 1;
else
{
for (int j = 0; j < m; j++)
{
if (!B[j])
{
if (A[i][j] < date)
{
flag = i;
flag2 = j;
date = A[i][j];
}
}
}
}
}
if (!break_date)
break;
B[flag2] = 1;
cout << (char)(flag + 'a') << "--" << (char)(flag2 + 'a') <<" "<< date << endl;
}
in.close();
}