Describe
undirected Connectivity Graph G has n points, n-1 edges. The points are numbered from 1 to N, and the weights of the points numbered I are WI, each edge has a length of 1. The distance between two points (U, v) on the figure is defined as the shortest distance from the U point to the V point. For point Pairs (U, v) on Figure G, if their distances are 2, the joint weights of wuxwv are produced between them.
What is the maximum number of joint weights in an ordered point pair that generates a joint weight on figure g? What is the sum of all the joint weights?
Input format
The input file name is link.in.
The first line consists of 1 integer n.
Next n-1 lines, each line contains 2 positive integers separated by spaces U, V, indicating that the number is U and the point numbered V has an edge connected.
The last 1 rows, which contain n positive integers, are separated by a space between each of the two positive integers, where the I integer indicates that the weight of the point numbered I on Figure G is WI.
Input Sample:
5
1 2
2 3
3 4
4 5
1 5 2) 3 10
Output format
The output file name is Link.out.
Outputs a total of 1 rows, containing 2 integers, separated by a space, followed by the maximum value of the union weights on figure G and the sum of all the joint weights. since the sum of all the joint weights is likely to be large, it is necessary to output 10007 of the residual value.
Sample output:
20 74
Note
For 30% of data,1<n≤100;
For 60% of data,1<n≤2000;
For 100% of data, 1<n≤200,000,0<wi≤10,000.
Analysis
At first, 7 points were spent using pure violence. Later to see some of the problems on the Internet, and carefully read the topic, roughly understand the method.
Since the minimum distance of two points for generating the joint weights is 2, it can be considered that the two points are connected by a transit point. Then save the neighboring points of each point directly, 22 pairs in these neighboring points. But the 22 pairing is obviously too slow, calculating the joint weights of each of the points of the point to be O (K2) (k is the number of neighbors). This is obviously not worth the cost. The internet has introduced the optimization using the addition-binding law (yes, the addition-binding law): preprocessing the sum of the weights of the neighbors of each point I s[i], then the total joint weights and sum=sum{Sum{w[v[i][j]] * (S[i]-w[v[i][j])} (0≤j≤k )。
The most powerful value can be found by directly finding the largest two multiplies in the I neighbor when calculating s[i].
TYVJ can be directly ac,vijos need to use Getint optimization read-in.
Code
1#include <cstdio>2#include <cctype>3#include <vector>4 using namespacestd;5vector<int> v[200001];6 ints[200001];7 intw[200001];8 intN, Maxx, sum;9 intGetint ()Ten { One Charc =GetChar (); A while(!IsDigit (c)) -c =GetChar (); - intx =0; the while(IsDigit (c)) { -x = x *Ten+ C-'0'; -c =GetChar (); - } + returnx; - } + voidAddinti) A { at for(intj =0; J! = V[i].size (); ++j) -sum = (sum + (S[i]-w[v[i][j]) * w[v[i][j]])%10007; - } - intMain () - { -n =getint (); in for(inti =0, A, B; I! = N-1; ++i) { -A =getint (); tob =getint (); + V[a].push_back (b); - V[b].push_back (a); the } * for(inti =1; I <= N; ++i) $W[i] =getint ();Panax Notoginseng for(inti =1; I <= N; ++i) { - intmax1, Max2; theMax1 =0; +MAX2 =0; A for(intj =0; J! = V[i].size (); ++j) { theS[i] + =W[v[i][j]]; + if(S[i] >10007) -S[i]-=10007; $ if(W[v[i][j]) >max1) { $MAX2 =max1; -Max1 =W[v[i][j]]; - } the Else if(W[v[i][j]] = = MAX1 | | W[V[I][J]] >max2) -MAX2 =W[v[i][j]];Wuyi } the if(MAX1 * max2 >Maxx) -Maxx = Max1 *Max2; Wu } - for(inti =1; I <= N; ++i) About Add (i); $printf"%d\40%d", Maxx, sum%10007); - return 0; -}
[NOIP2014] Joint weights