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hello-algo/zh-hant/codes/c/chapter_dynamic_programming/unbounded_knapsack.c

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2.2 KiB

/**
* File: unbounded_knapsack.c
* Created Time: 2023-10-02
* Author: Zuoxun (845242523@qq.com)
*/
#include "../utils/common.h"
/* 求最大值 */
int myMax(int a, int b) {
return a > b ? a : b;
}
/* 完全背包:動態規劃 */
int unboundedKnapsackDP(int wgt[], int val[], int cap, int wgtSize) {
int n = wgtSize;
// 初始化 dp 表
int **dp = malloc((n + 1) * sizeof(int *));
for (int i = 0; i <= n; i++) {
dp[i] = calloc(cap + 1, sizeof(int));
}
// 狀態轉移
for (int i = 1; i <= n; i++) {
for (int c = 1; c <= cap; c++) {
if (wgt[i - 1] > c) {
// 若超過背包容量,則不選物品 i
dp[i][c] = dp[i - 1][c];
} else {
// 不選和選物品 i 這兩種方案的較大值
dp[i][c] = myMax(dp[i - 1][c], dp[i][c - wgt[i - 1]] + val[i - 1]);
}
}
}
int res = dp[n][cap];
// 釋放記憶體
for (int i = 0; i <= n; i++) {
free(dp[i]);
}
return res;
}
/* 完全背包:空間最佳化後的動態規劃 */
int unboundedKnapsackDPComp(int wgt[], int val[], int cap, int wgtSize) {
int n = wgtSize;
// 初始化 dp 表
int *dp = calloc(cap + 1, sizeof(int));
// 狀態轉移
for (int i = 1; i <= n; i++) {
for (int c = 1; c <= cap; c++) {
if (wgt[i - 1] > c) {
// 若超過背包容量,則不選物品 i
dp[c] = dp[c];
} else {
// 不選和選物品 i 這兩種方案的較大值
dp[c] = myMax(dp[c], dp[c - wgt[i - 1]] + val[i - 1]);
}
}
}
int res = dp[cap];
// 釋放記憶體
free(dp);
return res;
}
/* Driver code */
int main() {
int wgt[] = {1, 2, 3};
int val[] = {5, 11, 15};
int wgtSize = sizeof(wgt) / sizeof(wgt[0]);
int cap = 4;
// 動態規劃
int res = unboundedKnapsackDP(wgt, val, cap, wgtSize);
printf("不超過背包容量的最大物品價值為 %d\n", res);
// 空間最佳化後的動態規劃
res = unboundedKnapsackDPComp(wgt, val, cap, wgtSize);
printf("不超過背包容量的最大物品價值為 %d\n", res);
return 0;
}