Chapter 2 二分与前缀和

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  • 二分

  • 套路

如果更新方式写的是R = mid, 则不用做任何处理,如果更新方式写的是L = mid,则需要在计算mid是加上1。

1.数的范围 789

#include <cstdio>
#include <cstring>
#include <iostream>
#include <algorithm>
//整数二分
using namespace std; int st[100005];
int n, q;
int u; int main()
{
scanf("%d%d", &n, &q);
for(int i = 0; i < n; i++)
scanf("%d", &st[i]);
while(q--)
{
int L = 0; int R = n - 1;
scanf("%d", &u);
while(L < R)
{
int md = L + R >> 1;
if(st[md] >= u) R = md;//注意边界问题
else L = md + 1;
}
if(st[R] == u)
{
cout << R << " ";
R = n - 1;
while(L < R)
{
int md = L + R + 1 >> 1;//注意边界问题
if(st[md] <= u) L = md;
else R = md - 1;
}
cout << L << endl;
}
else cout << "-1 -1" << endl;
}
return 0;
}

2.数的三次方根 790

#include <iostream>
//实数二分
using namespace std; int main()
{
double n;
cin >> n;
double l = -10000, r = 10000;
while(r - l > 1e-8)
{
double mid = (l + r) / 2;
if(mid * mid * mid >= n) r = mid;
else l = mid;
}
printf("%f\n", l);
return 0;
}

3.机器人跳跃问题 730

//AC code
#include <cstdio>
#include <cstring>
#include <iostream>
#include <algorithm> using namespace std; const int maxn = 1e5 + 5;
int h[maxn], temp, n; int main()
{
cin >> n;
for(int i = 0; i < n; i++)
scanf("%d", h + i);
int l = 0, r = 1e5;
while(l < r)
{
int mid =(l + r) >> 1;//注意边界问题
temp = mid;
for(int i = 0; i < n && mid >= 0; i++)
{
mid = mid * 2 - h[i];
if(mid >= 1e5) break; //没有这句ac不了,防止中间过程爆掉
}
if(mid >= 0)
r = temp;
else
l = temp + 1;
}
cout << r << endl;
return 0;
}

4.四平方和 1221

#include <cstdio>
#include <cstring>
#include <iostream>
#include <algorithm> using namespace std; const int maxn = 5e6;//注意
int n, m; struct Sum{
int s, c, d; bool operator< (const Sum &t)const
{
if(s != t.s) return s < t.s;
if(c != t.c) return c < t.c;
return d < t.d;
}
}p[maxn]; int main()
{
cin >> n;
for(int c = 0; c * c <= n; c++ )
for(int d = c; d * d + c * c <= n; d++ )
p[m++] = {c * c + d * d, c, d}; sort(p, p + m); for(int a = 0; a * a <= n; a++ )
for(int b = a; b * b + a * a <= n; b++ )
{
int t = n - a * a - b * b;
int l = 0, r = m - 1;
while(l < r)
{
int mid = (l + r) >> 1;
if(p[mid].s >= t) r = mid;
else l = mid + 1;
}
if(p[l].s == t)
{
printf("%d %d %d %d\n", a, b, p[l].c, p[l].d);
return 0;
}
}
}
5.分巧克力 1227
#include <cstdio>
#include <cstring>
#include <iostream>
#include <algorithm> using namespace std; const int maxn = 100010;
int n, k;
int h[maxn], w[maxn]; bool check(int u)
{
int sum = 0;
for(int i = 0; i < n; i++)
sum += (h[i] / u) * (w[i] / u);
if(sum >= k) return true;
return false;
} int main()
{
cin >> n >> k;
for(int i = 0; i < n; i++)
scanf("%d%d", h + i, w + i);
int L = 1, R = 1e5;
while(L < R)
{
int mid = L + R + 1 >> 1;
if(check(mid)) L = mid;
else R = mid - 1;
}
cout << R << endl;
return 0;
}

+++

  • 前缀和

1.前缀和 795
//一维数组前缀和
#include <iostream>
#include <cstdio>
#include <cstring>
#include <algorithm> using namespace std; const int maxn = 100010; int a[maxn], s[maxn];
int n, m; int main()
{
cin >> n >> m;
for(int i = 1; i <= n; i++ )
{
scanf("%d", a + i);
s[i] = s[i - 1] + a[i];//存储前i个数的和
}
while(m--)
{
int x, y;
scanf("%d%d", &x, &y);
printf("%d\n", s[y] - s[x - 1]);
}
return 0;
}
2.子矩阵的和 796
// 二维数组前缀和
#include <iostream>
#include <cstring>
#include <cstdio>
#include <algorithm> using namespace std; const int maxn = 1010;
int a[maxn][maxn], s[maxn][maxn];
int n, m, q; int main()
{
scanf("%d%d%d", &n, &m, &q);
for(int i = 1; i <= n; i++ )
for(int j = 1; j <= m; j++ )
{
scanf("%d", &a[i][j]);
s[i][j] = s[i - 1][j] + s[i][j - 1] - s[i - 1][j - 1] + a[i][j];
}
while(q--)
{
int x1, y1, x2, y2;
scanf("%d%d%d%d", &x1, &y1, &x2, &y2);
printf("%d\n", s[x2][y2] - s[x1 - 1][y2] - s[x2][y1 - 1] + s[x1 - 1][y1 - 1]);
}
return 0;
}
3.激光炸弹 99

4.K倍区间 1230

//优化时间复杂度

//O(n)
#include <cstdio>
#include <cstring>
#include <iostream>
#include <algorithm> using namespace std; typedef long long LL; const int maxn = 100010;
int s[maxn], cnt[maxn];
int n, k, temp;
LL res; int main()
{
cnt[0] = 1;
cin >> n >> k;
for(int i = 1; i <= n; i++ )
{
scanf("%d", &temp);
s[i] = (s[i - 1] + temp) % k;
res += cnt[s[i]];
cnt[s[i]]++;
} printf("%lld\n", res);
return 0;
}
K倍区间学习到的经验:

1.首先因为知道考的是前缀和,我就用O(n²)的复杂度的二重for循环暴力枚举,果不其然超时,然后就没有了进一步的简化思路。

2.好的思路是从简单暴力的方法中优化出来的,就如本题的AC code,把复杂度降到了O(n),成功AC。

3.找到右端点后遍历前面所有前缀和,符合K倍区间性质的其实就是mod k后与右端点前缀和mod k后余数相等的点。(

05-18 12:44