Add the section of max capacity problem. (#639)

This commit is contained in:
Yudong Jin
2023-07-21 15:16:51 +08:00
committed by GitHub
parent 8068c42688
commit 76f11ae168
20 changed files with 272 additions and 1 deletions

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add_executable(coin_change_greedy coin_change_greedy.cpp)
add_executable(fractional_knapsack fractional_knapsack.cpp)
add_executable(fractional_knapsack fractional_knapsack.cpp)
add_executable(max_capacity max_capacity.cpp)

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/**
* File: max_capacity.cpp
* Created Time: 2023-07-21
* Author: Krahets (krahets@163.com)
*/
#include "../utils/common.hpp"
/* 最大容量:贪心 */
int maxCapacity(vector<int> &ht) {
// 初始化 i, j 分列数组两端
int i = 0, j = ht.size() - 1;
// 初始最大容量为 0
int res = 0;
// 循环贪心选择,直至两板相遇
while (i < j) {
// 更新最大容量
int cap = min(ht[i], ht[j]) * (j - i);
res = max(res, cap);
// 向内移动短板
if (ht[i] < ht[j]) {
i++;
} else {
j--;
}
}
return res;
}
/* Driver Code */
int main() {
vector<int> ht = {3, 8, 5, 2, 7, 7, 3, 4};
// 贪心算法
int res = maxCapacity(ht);
cout << "最大容量为 " << res << endl;
return 0;
}

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/**
* File: max_capacity.java
* Created Time: 2023-07-21
* Author: Krahets (krahets@163.com)
*/
package chapter_greedy;
public class max_capacity {
/* 最大容量:贪心 */
static int maxCapacity(int[] ht) {
// 初始化 i, j 分列数组两端
int i = 0, j = ht.length - 1;
// 初始最大容量为 0
int res = 0;
// 循环贪心选择,直至两板相遇
while (i < j) {
// 更新最大容量
int cap = Math.min(ht[i], ht[j]) * (j - i);
res = Math.max(res, cap);
// 向内移动短板
if (ht[i] < ht[j]) {
i++;
} else {
j--;
}
}
return res;
}
public static void main(String[] args) {
int[] ht = { 3, 8, 5, 2, 7, 7, 3, 4 };
// 贪心算法
int res = maxCapacity(ht);
System.out.println("最大容量为 " + res);
}
}

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"""
File: max_capacity.py
Created Time: 2023-07-21
Author: Krahets (krahets@163.com)
"""
def max_capacity(ht: list[int]) -> int:
"""最大容量:贪心"""
# 初始化 i, j 分列数组两端
i, j = 0, len(ht) - 1
# 初始最大容量为 0
res = 0
# 循环贪心选择,直至两板相遇
while i < j:
# 更新最大容量
cap = min(ht[i], ht[j]) * (j - i)
res = max(res, cap)
# 向内移动短板
if ht[i] < ht[j]:
i += 1
else:
j -= 1
return res
"""Driver Code"""
if __name__ == "__main__":
ht = [3, 8, 5, 2, 7, 7, 3, 4]
# 贪心算法
res = max_capacity(ht)
print(f"最大容量为 {res}")