CodeForces 471C MUH and House of Cards

本文介绍了一种基于特定规则构建纸牌屋的算法,并通过分析纸牌的使用数量来确定可能构建的不同高度纸牌屋的数量。文章提供了一个C++实现示例,用于计算给定数量的纸牌能够构建的不同高度的纸牌屋总数。

C. MUH and House of Cards
time limit per test1 second
memory limit per test256 megabytes
inputstandard input
outputstandard output
Polar bears Menshykov and Uslada from the zoo of St. Petersburg and elephant Horace from the zoo of Kiev decided to build a house of cards. For that they’ve already found a hefty deck of n playing cards. Let’s describe the house they want to make:

The house consists of some non-zero number of floors.
Each floor consists of a non-zero number of rooms and the ceiling. A room is two cards that are leaned towards each other. The rooms are made in a row, each two adjoining rooms share a ceiling made by another card.
Each floor besides for the lowest one should contain less rooms than the floor below.
Please note that the house may end by the floor with more than one room, and in this case they also must be covered by the ceiling. Also, the number of rooms on the adjoining floors doesn’t have to differ by one, the difference may be more.

While bears are practicing to put cards, Horace tries to figure out how many floors their house should consist of. The height of the house is the number of floors in it. It is possible that you can make a lot of different houses of different heights out of n cards. It seems that the elephant cannot solve this problem and he asks you to count the number of the distinct heights of the houses that they can make using exactly n cards.

Input
The single line contains integer n (1 ≤ n ≤ 1012) — the number of cards.

Output
Print the number of distinct heights that the houses made of exactly n cards can have.

Examples
input
13
output
1
input
6
output
0
Note
In the first sample you can build only these two houses (remember, you must use all the cards):

Thus, 13 cards are enough only for two floor houses, so the answer is 1.

The six cards in the second sample are not enough to build any house.

找规律吧..反正我是没找出来…


//构成最高层时用的最少数量的card数目: n*(3n+1) / 2(因为每层数目为3n-1)

#include<stdio.h>
#include<string>
#include<cstring>
#include<queue>
#include<algorithm>
#include<functional>
#include<vector>
#include<iomanip>
#include<math.h>
#include<iostream>
#include<sstream>
#include<stack>
#include<set>
#include<bitset>
using namespace std;
typedef long long ll;
int main()
{
    cin.sync_with_stdio(false);
    ll n;
    while (cin>>n)
    {
        ll Ans=0;
        for (ll i=1;; i++)
        {
            if (n<(3*i+1)*i/2) break;
            if ((n+i)%3==0) Ans++;
        }
        cout<<Ans<<endl;
    }
    return 0;
}
### 解题思路 #### 问题描述 Codeforces 1678C - Tokitsukaze and Strange Inequality 是一道关于排列组合与前缀和的应用问题。给定一个长度为 \( n \) 的排列数组 \( p \),需要统计满足条件 \( a < b < c < d \) 并且 \( p_a < p_c \) 同时 \( p_b > p_d \) 的四元组数量。 --- #### 核心思想 由于数据规模较小 (\( n \leq 5000 \)),可以直接通过枚举的方式解决问题。为了降低时间复杂度,引入 **前缀和** 技术来加速计算过程[^3]。 具体来说: - 枚举变量 \( a \) 和 \( c \),固定它们之后,目标是快速找到符合条件的 \( b \) 和 \( d \)。 - 使用预处理好的前缀和数组 `num` 来高效查询某个范围内满足特定关系的数量。 - 定义辅助数组 `sum` 表示对于固定的区间范围内的某些约束条件下的累积计数结果。 --- #### 实现细节 ##### 步骤一:构建前缀和数组 `num` 定义二维数组 `num[i][j]`,其中 `num[i][j]` 表示在序列的前 \( i \) 项中,有多少个元素大于 \( j \)。 该数组可以通过如下方式初始化: ```python n = len(p) max_val = max(p) # 初始化 num 数组 num = [[0] * (max_val + 2) for _ in range(n + 1)] for i in range(1, n + 1): for j in range(max_val + 1, -1, -1): # 反向遍历以保持正确性 if p[i - 1] > j: num[i][j] = num[i - 1][j] + 1 else: num[i][j] = num[i - 1][j] ``` 上述代码的时间复杂度为 \( O(n \cdot m) \),其中 \( m \) 是数组中的最大值。 --- ##### 步骤二:定义并填充辅助数组 `sum` 定义另一个二维数组 `sum[i][j]`,它表示当 \( a=i \), \( c=j \) 时,在区间 \([a+1, c-1]\) 中满足 \( p[b] > p[d] \) 的总贡献次数。 利用动态规划的思想逐步更新此数组: ```python sum_ = [[0] * (n + 1) for _ in range(n + 1)] bucket = [0] * (max_val + 1) for l in range(n - 1, 0, -1): bucket[p[l]] += 1 for r in range(l + 2, n + 1): sum_[l][r] = sum_[l][r - 1] + (num[r - 1][p[r - 1]] - num[l][p[r - 1]]) ``` 这里的关键在于如何有效累加当前区间的合法贡献,并借助之前已经计算的结果减少重复运算。 --- ##### 步骤三:枚举所有可能的 \( a \) 和 \( c \) 最后一步是对所有的 \( a \) 和 \( c \) 进行双重循环,并将对应位置上的 `sum[a][c]` 加入最终答案中: ```python result = 0 for a in range(1, n - 2): for c in range(a + 2, n): result += sum_[a][c] print(result) ``` 整个算法的核心部分即完成以上三个阶段的操作即可实现高效的解决方案。 --- ### 总结 本题主要考察的是对多重嵌套结构的有效简化以及合理运用前缀和技巧的能力。通过巧妙设计的数据结构能够显著提升程序运行效率至可接受水平。
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