HDU 4456 Crowd
Crowd
Time Limit: 5000/2000 MS (Java/Others) Memory Limit: 32768/32768 K (Java/Others)
Total Submission(s): 1287 Accepted Submission(s): 290
Since frequent accidents had happened last year when the citizens went out to admire the colorful lanterns, City F is planning to develop a system to calculate the degree of congestion of the intersection of two streets.
The map of City F is organized in an N×N grid (N north-south streets and N west-east street). For each intersection of streets, we define a density value for the crowd on the intersection.
Initially, the density value of every intersection is zero. As time goes by, the density values may change frequently. A set of cameras with new graphical recognition technology can calculate the density value of the intersection easily in a short time.
But the administrator of the police office is planning to develop a system to calculate the degree of congestion. For some consideration, they come up with a conception called "k-dimension congestion degree". The "k-dimension congestion degree" of intersection (x0,y0) is represented as "c(x0,y0,k)", and it can be calculated by the formula below:

Here, d(x,y) stands for the density value on intersection (x,y) and (x,y) must be in the N×N grid. The formula means that all the intersections in the range of manhattan distance k from (x0,y0) effect the k-dimension congestion degree of (x0,y0) equally, so we just simply sum them up to get the k-dimension congestion degree of (x0,y0).
The figure below shows a 7×7 grid, and it shows that if you want to get the 2-dimension congestion degree of intersection (4,2),you should sum up the density values of all marked intersections.

Each test case begins with a line with two integers N, M, meaning that the city is an N×N grid and there will be M queries or events as time goes by. (1 ≤ N ≤10 000, 1 ≤ M ≤ 80 000) Then M lines follow. Each line indicates a query or an event which is given in form of (p, x, y, z), here p = 1 or 2, 1 ≤ x ≤ N, 1 ≤ y ≤ N.
The meaning of different p is shown below.
1. p = 1 the value of d(x,y) is increased by z, here -100 ≤ z ≤ 100.
2. p = 2 query the value of c(x,y,z), here 0 ≤ z ≤ 2N-1.
Input is terminated by N=0.
#include <bits/stdc++.h>
using namespace std;
typedef long long LL;
const int maxn = ;
struct QU {
int x1,x2,y,id,f;
QU(int a = ,int b = ,int c = ,int d = ,int e = ) {
x1 = a;
x2 = b;
y = c;
id = d;
f = e;
}
bool operator<(const QU &t)const {
return y < t.y;
}
} Q[maxn],A[maxn],B[maxn];
LL C[maxn],ans[maxn];
void add(int i,int val) {
while(i < maxn) {
C[i] += val;
i += i&-i;
}
}
LL sum(int i,LL ret = ) {
while(i > ) {
ret += C[i];
i -= i&-i;
}
return ret;
}
void cdq(int L,int R) {
if(R <= L) return;
int mid = (L + R)>>;
cdq(L,mid);
cdq(mid+,R);
int a = ,b = ,j = ;
for(int i = L; i <= mid; ++i)
if(Q[i].id == -) A[a++] = Q[i];
for(int i = mid + ; i <= R; ++i)
if(Q[i].id != -) B[b++] = Q[i];
sort(A,A + a);
sort(B,B + b);
for(int i = ; i < b; ++i) {
for(; j < a && A[j].y <= B[i].y; ++j) add(A[j].x1,A[j].f);
ans[B[i].id] += B[i].f*sum(B[i].x2);
ans[B[i].id] -= B[i].f*sum(B[i].x1);
}
for(int i = ; i < j; ++i) add(A[i].x1,-A[i].f);
}
int main() {
int n,m,op,x,y,z,tot,ask;
while(scanf("%d",&n),n) {
scanf("%d",&m);
ask = tot = ;
memset(ans,,sizeof ans);
while(m--) {
scanf("%d%d%d%d",&op,&x,&y,&z);
if(op == ) Q[tot++] = QU(x + y,,y - x,-,z);
else {
int cx = x + y;
int cy = y - x;
int x1 = cx - z;
int x2 = cx + z;
int y1 = cy - z;
int y2 = cy + z;
Q[tot++] = QU(x1-,x2,y2,ask,);
Q[tot++] = QU(x1-,x2,y1-,ask++,-);
}
}
cdq(,tot-);
for(int i = ; i < ask; ++i)
printf("%I64d\n",ans[i]);
}
return ;
}
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