【差分+前缀和】
class Solution {
// 差分+前缀和 3:47. 4
public int[] corpFlightBookings(int[][] bookings, int n) {
int[] pre = new int[n + 1];
for(var k: bookings){
pre[k[0] - 1] += k[2];
pre[k[1]] -= k[2];
}
int[] ans = new int[n];
for(var i = 0; i < n; i++){
if(i == 0) ans[i] = pre[i];
else ans[i] = pre[i] + ans[i - 1];
}
return ans;
}
}
【差分+树状数组】
这里简单分析一下,树状数组是用来求前缀和的,如果把差分(新增变化量,末尾减少量)存在树状数组中,就可以直接查询前缀和了。
class Solution {
// 差分+树状数组 3:53 6
int[] tree;
int n;
int lowbit(int x){
return x & -x;
}
void add(int x, int val){
while(x <= n){
tree[x] += val;
x += lowbit(x);
}
}
int ask(int x){
int ret = 0;
while(x > 0){
ret += tree[x];
x -= lowbit(x);
}
return ret;
}
public int[] corpFlightBookings(int[][] bookings, int n) {
this.n = n;
tree = new int[n + 2];
for(var b: bookings){
add(b[0], b[2]);
add(b[1] + 1, -b[2]);
}
int[] ans = new int[n];
for(var i = 0; i < n; i++){
ans[i] = ask(i + 1);
}
return ans;
}
}
【差分+线段树】
class Solution {
// 差分+线段树 4:02 42
int[] f, a;
int n;
void build(int k, int l, int r){
if(l == r) f[k] = a[l - 1];
else{
int mid = (l + r) >>> 1;
k <<= 1;
build(k, l, mid);
build(k, mid + 1, r);
f[k >>> 1] = f[k] + f[k + 1];
}
}
void add(int k, int l, int r, int x, int y){
f[k] += y;
if(l == r) return ;
int mid = (l + r) >>> 1;
k <<= 1;
if(x > mid) add(k + 1, mid + 1, r, x, y);
else add(k, l, mid, x, y);
}
int ask(int k, int l, int r, int x, int y){
if(l == r) return f[k];
else if(l == x && r == y) return f[k];
int mid = (l + r) >>> 1;
k <<= 1;
if(x > mid) return ask(k + 1, mid + 1, r, x, y);
if(y <= mid) return ask(k, l, mid, x, y);
return ask(k, l, mid, x, mid) + ask(k + 1, mid + 1, r, mid + 1, y);
}
public int[] corpFlightBookings(int[][] bookings, int n) {
int m = n + 1;
f = new int[m * 4 + 1];
for(var b: bookings){
add(1, 1, m, b[0], b[2]);
add(1, 1, m, b[1] + 1, -b[2]);
}
int[] ans = new int[n];
for(var i = 0; i < n; i++){
ans[i] = ask(1, 1, m, 1, i + 1);
}
return ans;
}
}
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