HDU - 6156 Palindrome Function

本文详细解析了HDU-6156 PalindromeFunction问题,介绍了如何计算不同进制下的回文数数量,并给出了具体的实现代码。

HDU - 6156      Palindrome Function

        This problem asks us to calculate the total number of several specific numbers in different binary systems which is a palindrome number. However, the final result is not just the sum, That is to say,according to the contents of the problem, we need to calculate this formula: ()as our output contents. In the sample input, the problem gives 3 test cases, the first of which suggests the result of the function of number "1" from 2 to 36 of binary system, and the followings are of the same patterns(hence we no longer elaborate the essentials). 

        After comprehending the problem, we have to analyze the details. First, make a change of the format of the function:. Then, , hence the result could be changed into the format of . As a result, we have to calculate F(N, d) as our final result. As we can see, the number "n" in binary system "d" can be expressed as . Then our aim is to find the total number of the palindrome numbers from 1 to N in the binary system "d". It is easy to get that the maximum number in the D base is (n+1). So if i in D system has only 1 bit (if n>=1), then i must meet i < = N, in the range of the number of [1, D - 1] in the current bits. Consider the i in D system has 2 bits, if n>=2, as long as meet i0=i1(right now i must meet i<= N), and the number can also be D - 1. Considering the i has several bits (3<=bit<=n) in D system, when i meets i<= N, and the range of is [1, d-1], and in the middle of the (bit-2) bits, the palindromes equal,which means . Finally, if i in the d base has (1 + n) bits, there are 2 different kinds of situations, if "in"<Nn, "in" has (Nn-1) kinds of values and "in"==i0. The middle palindrome values equals means . Then, if "in"==Nn, we just have to consider the middle bit, or we have to also include the previous bit.

          Here, I'd be glad to share a correct code with you:

#include <stdio.h>
typedef long long ll;
ll L, R, l, r,a[35];
ll qpow(ll a, ll b)
{
	ll res = 1;
	while(b)
	{
		if(b & 1)
			res *= a;
		a *= a;
		b >>= 1;
	}
	return res;
}
ll Div(ll x)
{
	return x % 2 == 0 ? x / 2 : x / 2 + 1;
}
ll Cal(ll d, ll bit)
{
	return 2 * (qpow(d, bit / 2 + 1) - d) / (d - 1) + (bit & 1 ? qpow(d, (bit + 1) /2) : 0);
}
ll dfs(ll a[], ll cnt, ll d)
{
	
	if(cnt < 0)
		return 1;
	if(cnt == 0)
		return a[cnt] + 1;
	ll num = 0;
	num += a[cnt] * (cnt == 1 ? 1 : qpow(d, (ll)Div(cnt - 1)));
	if(a[cnt] > a[0])
	{
		--a[1];
		ll id = 1;
		while(a[id] < 0 && id < cnt)
		{
			a[id] += d;
			--a[++id];
		}
		if(id == cnt)
			return num;
	}
	return num + dfs(a + 1, cnt - 2, d);
}
ll cal(ll x, ll d)
{
	ll cnt = 0;
	ll tmp = x;
	
	while(tmp)
	{
		a[cnt++] = tmp % d;
		tmp /= d;
	}
	
	cnt = cnt - 1;
	if(cnt < 0)
		return 0;
	if(cnt == 0)
		return a[cnt];
	ll num = 0;
	num += (a[cnt] - 1) * (cnt == 1 ? 1 : qpow(d, Div(cnt - 1))) + (cnt > 2 ? (d - 1) * Cal(d, cnt - 2) : 0)+ (d - 1) * (cnt >= 2?2:1);
	if(a[cnt] > a[0])
	{
		--a[1];
		ll id = 1;
		while(a[id] < 0 && id < cnt)
		{
			a[id] += d;
			--a[++id];
		}
		if(id == cnt)
			return num;
	}
	return num + dfs(a + 1, cnt - 2, d);
}
int main()
{
	int T, kas = 0;
	scanf("%d", &T);
	while(T--)
	{
		scanf("%lld%lld%lld%lld", &L, &R, &l, &r);
		ll ans = 0;
		for(ll i = l; i <= r; ++i)
			ans += (ll)(R - L + 1) + (i - 1) * (cal(R, i) - cal(L - 1, i));
		printf("Case #%d: %lld\n", ++kas, ans);
	}
	return 0;
}
F(N,d)(1<=N<=1e9,2<=d<=36),which is the final result.
### 关于HDU - 6609 的题目解析 由于当前未提供具体关于 HDU - 6609 题目的详细描述,以下是基于一般算法竞赛题型可能涉及的内容进行推测和解答。 #### 可能的题目背景 假设该题目属于动态规划类问题(类似于多重背包问题),其核心在于优化资源分配或路径选择。此类问题通常会给出一组物品及其属性(如重量、价值等)以及约束条件(如容量限制)。目标是最优地选取某些物品使得满足特定的目标函数[^2]。 #### 动态转移方程设计 如果此题确实是一个变种的背包问题,则可以采用如下状态定义方法: 设 `dp[i][j]` 表示前 i 种物品,在某种条件下达到 j 值时的最大收益或者最小代价。对于每一种新加入考虑范围内的物体 k ,更新规则可能是这样的形式: ```python for i in range(n): for s in range(V, w[k]-1, -1): dp[s] = max(dp[s], dp[s-w[k]] + v[k]) ``` 这里需要注意边界情况处理以及初始化设置合理值来保证计算准确性。 另外还有一种可能性就是它涉及到组合数学方面知识或者是图论最短路等相关知识点。如果是后者的话那么就需要构建相应的邻接表表示图形结构并通过Dijkstra/Bellman-Ford/Floyd-Warshall等经典算法求解两点间距离等问题了[^4]。 最后按照输出格式要求打印结果字符串"Case #X: Y"[^3]。 #### 示例代码片段 下面展示了一个简单的伪代码框架用于解决上述提到类型的DP问题: ```python def solve(): t=int(input()) res=[] cas=1 while(t>0): n,k=list(map(int,input().split())) # Initialize your data structures here ans=find_min_unhappiness() # Implement function find_min_unhappiness() res.append(f'Case #{cas}: {round(ans)}') cas+=1 t-=1 print("\n".join(res)) solve() ```
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