Codeforces Gym - 101128C Canvas Painting [想法]

本文介绍了一种解决布料染色问题的算法,通过将不同长度的布料使用最小成本染成不同颜色的问题转化为将所有布料染成相同颜色的最小成本问题。采用优先队列实现贪心策略,每次选取成本最低的两种颜色合并,直至所有布料颜色统一。

题意:给你n个长度为ai的布,开始时布的颜色为白色,每次可以选择一种颜色的前x个布与剩下的进行染色,染成不同的颜色,求将所有布都染成不一样的颜色的最小花费是多少(染色长度最小是多少)

题解:这个问题可以转化为有n个布都各有不同的颜色,每次可以选两种不一样的颜色进行染色,最少花费多少可以将所有布染成一样的颜色,于是这题就很简单了!首先将所有布放入优先队列中,每次取最小的两个布,将它合为一块布,然后再放入优先队列中,直到只剩下一块、

AC代码:

#include<stdio.h>
#include<queue>
#include<vector>
using namespace std;
typedef long long ll;
priority_queue<ll,vector<ll>,greater<ll> >que;
int main()
{
	ll T;
	scanf("%lld",&T);
	while(T--)
	{
		while(!que.empty())que.pop();
		ll n;
		scanf("%lld",&n);
		for(ll i=0;i<n;i++)
		{
			ll k;
			scanf("%lld",&k);
			que.push(k);
		}
		ll ans=0;
		for(ll i=0;i<n-1;i++)
		{
			ll sum=0;
			sum+=que.top();
			que.pop();
			sum+=que.top();
			que.pop();
			ans+=sum;
			que.push(sum);
		}
		printf("%lld\n",ans);
	}
}


### Codeforces Problem 976C Solution in Python For solving problem 976C on Codeforces using Python, efficiency becomes a critical factor due to strict time limits aimed at distinguishing between efficient and less efficient solutions[^1]. Given these constraints, it is advisable to focus on optimizing algorithms and choosing appropriate data structures. The provided code snippet offers insight into handling string manipulation problems efficiently by customizing comparison logic for sorting elements based on specific criteria[^2]. However, for addressing problem 976C specifically, which involves determining the winner ('A' or 'B') based on frequency counts within given inputs, one can adapt similar principles of optimization but tailored towards counting occurrences directly as shown below: ```python from collections import Counter def determine_winner(): for _ in range(int(input())): count_map = Counter(input().strip()) result = "A" if count_map['A'] > count_map['B'] else "B" print(result) determine_winner() ``` This approach leverages `Counter` from Python’s built-in `collections` module to quickly tally up instances of 'A' versus 'B'. By iterating over multiple test cases through a loop defined by user input, this method ensures that comparisons are made accurately while maintaining performance standards required under tight computational resources[^3]. To further enhance execution speed when working with Python, consider submitting codes via platforms like PyPy instead of traditional interpreters whenever possible since they offer better runtime efficiencies especially important during competitive programming contests where milliseconds matter significantly.
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值