SWUST OJ 之 0574 Renting Boats

该博客介绍了如何解决从长江游艇俱乐部的第1个出租站到第n个出租站的最小租金问题。通过动态规划的方法,利用一维数组记录每个点的最小租金,公式为:cost[j] = min(cost[j], cost[i] + link[i][j])。" 115900995,10553004,MATLAB Box-Cox变换:确保正态分布转换的注意事项,"['数据转换', '统计分析', 'MATLAB编程', '正态分布检验', '数值优化']

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长江游艇俱乐部在长江上设置了n 个游艇出租站1,2,…,n。游客可在这些游艇出租站租用游艇,并在下游的任何一个游艇出租站归还游艇。游艇出租站i 到游艇出租站j 之间的租金为r(i,j),1< =i< j < =n。试设计一个算法,计算出从游艇出租站1 到游艇出租站n 所需的最少租金。

输入

第1 行中有1 个正整数n(n<=200),表示有n个游艇出租站。接下来的n-1 行是r(i,j),1< =i< j < =n。

输出

从游艇出租站1 到游艇出租站n所需的最少租金

样例输入

3
5 15
7

样例输出

12

分析

这道动态规划题灰常简单(o(^□^)o),一个一维数组就搞定;
现在我们来思考一下,对于每个点 j 的租金 = min(j 点已经计算的租金,前面的任意一点 i 已经花费 + i 到 j 要花费的租金);
即公式: cost[ j ] = min(cost[ j ],cost[ i ] + link[ i ][ j ]);

    

### SWUST OJ Problem 32 Information and Solution Unfortunately, specific details about SWUST OJ problem number 32 are not directly provided in the available references. However, based on similar problems from this platform such as those mentioned in other citations, a general approach to solving typical programming challenges can be outlined. #### Understanding Common Elements of Programming Problems on SWUST OJ Platform Problems like SWUSTOJ276, SWUSTOJ77, SWUSTOJ78, SWUSTOJ1286, and SWUSTOJ1285 emphasize proper use of `if` and `else` statements along with maintaining good coding practices including appropriate formatting[^1]. For instance, when dealing with numerical outputs, `%g` is used for automatic selection between fixed-point notation (`%f`) or scientific notation (`%e`), depending on which provides more compact output without loss of precision. Given that detailed specifics regarding problem 32 aren't present here, one should look at common patterns found across different types of questions posed by platforms like these: - **Input Handling**: Typically involves reading inputs either single values or arrays/lists. - **Logic Implementation**: Applying algorithms ranging from simple arithmetic operations up through complex data structures manipulation. - **Output Formatting**: Ensuring results adhere strictly to specified formats using placeholders like `%d`, `%s`, etc., where applicable. Since no direct reference exists specifically addressing SWUST OJ problem 32 within given sources, consider exploring adjacent numbered problems around it for clues about its nature—whether mathematical computation, string processing, dynamic programming elements, et cetera—and adapt solutions accordingly while keeping best practice guidelines intact. ```c // Example C code snippet demonstrating basic structure often seen in contest-style programs #include <stdio.h> int main() { int n; scanf("%d", &n); // Read input value if (condition_based_on_problem_statement) { printf("Result under condition A\n"); } else { printf("Alternative result\n"); } return 0; } ``` --related questions-- 1. How does understanding how `%g` works help improve program efficiency? 2. What strategies could apply towards optimizing performance in competitive programming contests? 3. Can you provide examples illustrating effective usage of conditional operators (`if`, `else`) in algorithm design?
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