Problem F

本文介绍了一种解决特定图论问题的方法——Kruskal算法。该算法用于寻找连接所有村庄的最小成本道路网络,通过处理连通图并求解最小生成树问题。文章详细解释了输入格式和解决方案,并提供了完整的C++实现代码。

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Problem Description
Problem <wbr>F

The Head Elder of the tropical island of Lagrishan has a problem. A burst of foreign aid money was spent on extra roads between villages some years ago. But the jungle overtakes roads relentlessly, so the large road network is too expensive to maintain. The Council of Elders must choose to stop maintaining some roads. The map above on the left shows all the roads in use now and the cost in aacms per month to maintain them. Of course there needs to be some way to get between all the villages on maintained roads, even if the route is not as short as before. The Chief Elder would like to tell the Council of Elders what would be the smallest amount they could spend in aacms per month to maintain roads that would connect all the villages. The villages are labeled A through I in the maps above. The map on the right shows the roads that could be maintained most cheaply, for 216 aacms per month. Your task is to write a program that will solve such problems.

The input consists of one to 100 data sets, followed by a final line containing only 0. Each data set starts with a line containing only a number n, which is the number of villages, 1 < n < 27, and the villages are labeled with the first n letters of the alphabet, capitalized. Each data set is completed with n-1 lines that start with village labels in alphabetical order. There is no line for the last village. Each line for a village starts with the village label followed by a number, k, of roads from this village to villages with labels later in the alphabet. If k is greater than 0, the line continues with data for each of the k roads. The data for each road is the village label for the other end of the road followed by the monthly maintenance cost in aacms for the road. Maintenance costs will be positive integers less than 100. All data fields in the row are separated by single blanks. The road network will always allow travel between all the villages. The network will never have more than 75 roads. No village will have more than 15 roads going to other villages (before or after in the alphabet). In the sample input below, the first data set goes with the map above.

The output is one integer per line for each data set: the minimum cost in aacms per month to maintain a road system that connect all the villages. Caution: A brute force solution that examines every possible set of roads will not finish within the one minute time limit.

Sample Input
9

A 2 B 12 I 25

B 3 C 10 H 40 I 8

C 2 D 18 G 55

D 1 E 44

E 2 F 60 G 38

F 0

G 1 H 35

H 1 I 35

3

A 2 B 10 C 40

B 1 C 20

0


Sample Output
216

30

题意:给你一个连通图让你求从头到尾的最短路径;

解题思路:kruskal这个最简单,最粗暴,就是输入有点麻烦,刚开始用的scanf,回车的问题不好解决,用cin就省事多了,但是为什么从一开始就把ABC处理成012会WA啊;

感悟:时隔几个星期,我又来刷题了;

代码:

#include
#define N 110
using namespace std;
typedef struct node
{
    char i,j;
    int w;
};
bool comp(node a,node b)
{
    return a.w
}
node fr[N*N];
int bin[N],ans=0;
int findx(int x)
{
    int r=x;
    while(bin[r]!=r)
        r=bin[r];
    return r;
}
int kruskal(int m)
{
    for(int i=0;i<=27;i++)
            bin[i]=i;
    for(int i=0;i
    {
        int fx=findx(fr[i].i-65);
        int fy=findx(fr[i].j-65);
        if(fx!=fy)
        {
            ans+=fr[i].w;
            bin[fy]=fx;
        }
    }
    return ans;
}
int main()
{
    freopen("in.txt","r",stdin);
    char po,p;
    int t,n,w;
    while(scanf("%d",&t)!=EOF&&t)
    {
        getchar();
        int m=0;
        for(int i=1;i
        {
            scanf("%c %d",&po,&n);
            //cout<<po<<endl;
            //cout<<po<<" "<<n<<" ";
            for(int j=1;j<=n;j++)
            {
                getchar();
                scanf("%c %d",&p,&w);
        

转载于:https://www.cnblogs.com/wuwangchuxin0924/p/5781524.html

java.lang.Exception: org.apache.hadoop.hbase.io.hfile.CorruptHFileException: Problem reading HFile Trailer from file hdfs://192.168.8.201:8020/apps/hbase/data/data/gt_dw/profile_gid_lbs_locvalue/7ef0422f73082b2d140d755a08ab6904/lbs/75c83b238e0b4be496eecf33eed5e5c3     at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462) ~[hadoop-mapreduce-client-common-2.7.2.jar:na]     at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522) ~[hadoop-mapreduce-client-common-2.7.2.jar:na] Caused by: org.apache.hadoop.hbase.io.hfile.CorruptHFileException: Problem reading HFile Trailer from file hdfs://192.168.8.201:8020/apps/hbase/data/data/gt_dw/profile_gid_lbs_locvalue/7ef0422f73082b2d140d755a08ab6904/lbs/75c83b238e0b4be496eecf33eed5e5c3     at org.apache.hadoop.hbase.io.hfile.HFile.pickReaderVersion(HFile.java:463) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.hfile.HFile.createReader(HFile.java:506) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at com.glab.fz.etl.hfile.util.HFileInputFormat$HFileRecordReader.initialize(HFileInputFormat.java:60) ~[classes/:na]     at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.initialize(MapTask.java:548) ~[hadoop-mapreduce-client-core-2.7.2.jar:na]     at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:786) ~[hadoop-mapreduce-client-core-2.7.2.jar:na]     at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341) ~[hadoop-mapreduce-client-core-2.7.2.jar:na]     at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243) ~[hadoop-mapreduce-client-common-2.7.2.jar:na]     at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) ~[na:1.8.0_431]     at java.util.concurrent.FutureTask.run(FutureTask.java:266) ~[na:1.8.0_431]     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) ~[na:1.8.0_431]     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) ~[na:1.8.0_431]     at java.lang.Thread.run(Thread.java:750) ~[na:1.8.0_431] Caused by: java.lang.RuntimeException: native snappy library not available: this version of libhadoop was built without snappy support.     at org.apache.hadoop.io.compress.SnappyCodec.checkNativeCodeLoaded(SnappyCodec.java:65) ~[hadoop-common-2.7.2.jar:na]     at org.apache.hadoop.io.compress.SnappyCodec.getDecompressorType(SnappyCodec.java:193) ~[hadoop-common-2.7.2.jar:na]     at org.apache.hadoop.io.compress.CodecPool.getDecompressor(CodecPool.java:178) ~[hadoop-common-2.7.2.jar:na]     at org.apache.hadoop.hbase.io.compress.Compression$Algorithm.getDecompressor(Compression.java:327) ~[hbase-common-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.compress.Compression.decompress(Compression.java:422) ~[hbase-common-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.encoding.HFileBlockDefaultDecodingContext.prepareDecoding(HFileBlockDefaultDecodingContext.java:91) ~[hbase-common-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.hfile.HFileBlock.unpack(HFileBlock.java:507) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.hfile.HFileBlock$AbstractFSReader$1.nextBlock(HFileBlock.java:1255) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.hfile.HFileBlock$AbstractFSReader$1.nextBlockWithBlockType(HFileBlock.java:1261) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.hfile.HFileReaderV2.<init>(HFileReaderV2.java:147) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.hfile.HFileReaderV3.<init>(HFileReaderV3.java:73) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]     at org.apache.hadoop.hbase.io.hfile.HFile.pickReaderVersion(HFile.java:453) ~[hbase-server-0.98.13-hadoop2.jar:0.98.13-hadoop2]
最新发布
06-16
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