POJ1789 Truck History 【最小生成树Prim】
2015-07-02 20:56
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Truck History
Description
Advanced Cargo Movement, Ltd. uses trucks of different types. Some trucks are used for vegetable delivery, other for furniture, or for bricks. The company has its own code describing each type of a truck. The code is simply a string of exactly seven lowercase
letters (each letter on each position has a very special meaning but that is unimportant for this task). At the beginning of company's history, just a single truck type was used but later other types were derived from it, then from the new types another types
were derived, and so on.
Today, ACM is rich enough to pay historians to study its history. One thing historians tried to find out is so called derivation plan -- i.e. how the truck types were derived. They defined the distance of truck types as the number of positions with different
letters in truck type codes. They also assumed that each truck type was derived from exactly one other truck type (except for the first truck type which was not derived from any other type). The quality of a derivation plan was then defined as
1/Σ(to,td)d(to,td)
where the sum goes over all pairs of types in the derivation plan such that to is the original type and td the type derived from it and d(to,td) is the distance of the types.
Since historians failed, you are to write a program to help them. Given the codes of truck types, your program should find the highest possible quality of a derivation plan.
Input
The input consists of several test cases. Each test case begins with a line containing the number of truck types, N, 2 <= N <= 2 000. Each of the following N lines of input contains one truck type code (a string of seven lowercase letters). You may assume that
the codes uniquely describe the trucks, i.e., no two of these N lines are the same. The input is terminated with zero at the place of number of truck types.
Output
For each test case, your program should output the text "The highest possible quality is 1/Q.", where 1/Q is the quality of the best derivation plan.
Sample Input
Sample Output
Source
CTU Open 2003
Time Limit: 2000MS | Memory Limit: 65536K | |
Total Submissions: 18981 | Accepted: 7321 |
Advanced Cargo Movement, Ltd. uses trucks of different types. Some trucks are used for vegetable delivery, other for furniture, or for bricks. The company has its own code describing each type of a truck. The code is simply a string of exactly seven lowercase
letters (each letter on each position has a very special meaning but that is unimportant for this task). At the beginning of company's history, just a single truck type was used but later other types were derived from it, then from the new types another types
were derived, and so on.
Today, ACM is rich enough to pay historians to study its history. One thing historians tried to find out is so called derivation plan -- i.e. how the truck types were derived. They defined the distance of truck types as the number of positions with different
letters in truck type codes. They also assumed that each truck type was derived from exactly one other truck type (except for the first truck type which was not derived from any other type). The quality of a derivation plan was then defined as
1/Σ(to,td)d(to,td)
where the sum goes over all pairs of types in the derivation plan such that to is the original type and td the type derived from it and d(to,td) is the distance of the types.
Since historians failed, you are to write a program to help them. Given the codes of truck types, your program should find the highest possible quality of a derivation plan.
Input
The input consists of several test cases. Each test case begins with a line containing the number of truck types, N, 2 <= N <= 2 000. Each of the following N lines of input contains one truck type code (a string of seven lowercase letters). You may assume that
the codes uniquely describe the trucks, i.e., no two of these N lines are the same. The input is terminated with zero at the place of number of truck types.
Output
For each test case, your program should output the text "The highest possible quality is 1/Q.", where 1/Q is the quality of the best derivation plan.
Sample Input
4 aaaaaaa baaaaaa abaaaaa aabaaaa 0
Sample Output
The highest possible quality is 1/3.
Source
CTU Open 2003
读了两遍题,愣是没读懂,看了讨论区的解释才明确。
题意:给定n个点的编号,用7位长度的字符串表示,随意两个点的距离为它们字符串相应位中不同的字符个数,求MST。
#include <stdio.h> #include <string.h> #define maxn 2010 #define maxm maxn * maxn #define inf 0x3f3f3f3f int head[maxn], n, id; struct Node { int v, w, next; } E[maxm]; char map[maxn][8]; int dis[maxn]; bool vis[maxn]; int calDis(int x, int y) { int sum = 0; for(int i = 0; i < 7; ++i) if(map[x][i] != map[y][i]) ++sum; return sum; } void addEdge(int u, int v, int w) { E[id].v = v; E[id].w = w; E[id].next = head[u]; head[u] = id++; } void getMap() { memset(head, -1, sizeof(int) * n); int i, j, w; id = 0; for(i = 0; i < n; ++i) { scanf("%s", map[i]); for(j = 0; j < i; ++j) { w = calDis(i, j); addEdge(i, j, w); addEdge(j, i, w); } } } int getNext() { int i, pos = -1, w = inf; for(i = 0; i < n; ++i) if(!vis[i] && w > dis[i]) { w = dis[i]; pos = i; } return pos; } int Prim() { int i, u, v, sum = 0; for(i = 0; i < n; ++i) { vis[i] = 0; dis[i] = inf; } dis[u = 0] = 0; while(u != -1) { vis[u] = 1; sum += dis[u]; for(i = head[u]; i != -1; i = E[i].next) if(!vis[v = E[i].v] && dis[v] > E[i].w) dis[v] = E[i].w; u = getNext(); } return sum; } void solve() { printf("The highest possible quality is 1/%d.\n", Prim()); } int main() { while(scanf("%d", &n), n) { getMap(); solve(); } return 0; }
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