CodeForces - 602A Two Bases

本文介绍了一个CodeForces上的题目602A的解题思路及AC代码。该题目要求比较两个k进制数的大小,解决方法是将这些数转换为十进制进行比较,并使用了霍纳法则来简化计算。

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题目链接:http://codeforces.com/problemset/problem/602/A

题意:比较两个k进制数的大小

思路:转换成10进制比较(注意利用霍纳法则,之前发过来求的值,代码写丑了)

AC代码:

#include <bits/stdc++.h>
using namespace std;
const int MAXN = 50 + 5;

int a;
int main() {
	int n, bx, by, m;
	scanf("%d %d", &n, &bx);
	long long val1 = 0, val2 = 0;
	for (int i = 0; i < n; i++) {
		scanf("%d", &a);
		val1 = val1*bx + a;
	}
	scanf("%d%d", &m, &by);
	for (int i = 0; i < m; i++) {
		scanf("%d", &a);
		val2 = val2*by + a;
	}
	if (val1 < val2) {
		printf("<\n");
	}
	else if (val1 == val2) {
		printf("=\n");
	}
	else {
		printf(">\n");
	}
	return 0;
}

### 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.
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