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hello-algo/codes/java/chapter_dynamic_programming/coin_change.java

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/**
* File: coin_change.java
* Created Time: 2023-07-11
* Author: Krahets (krahets@163.com)
*/
package chapter_dynamic_programming;
import java.util.Arrays;
public class coin_change {
/* 零钱兑换:动态规划 */
static int coinChangeDP(int[] coins, int amt) {
int n = coins.length;
int MAX = amt + 1;
// 初始化 dp 表
int[][] dp = new int[n + 1][amt + 1];
// 状态转移:首行首列
for (int a = 1; a <= amt; a++) {
dp[0][a] = MAX;
}
// 状态转移:其余行和列
for (int i = 1; i <= n; i++) {
for (int a = 1; a <= amt; a++) {
if (coins[i - 1] > a) {
// 若超过目标金额,则不选硬币 i
dp[i][a] = dp[i - 1][a];
} else {
// 不选和选硬币 i 这两种方案的较小值
dp[i][a] = Math.min(dp[i - 1][a], dp[i][a - coins[i - 1]] + 1);
}
}
}
return dp[n][amt] != MAX ? dp[n][amt] : -1;
}
/* 零钱兑换:空间优化后的动态规划 */
static int coinChangeDPComp(int[] coins, int amt) {
int n = coins.length;
int MAX = amt + 1;
// 初始化 dp 表
int[] dp = new int[amt + 1];
Arrays.fill(dp, MAX);
dp[0] = 0;
// 状态转移
for (int i = 1; i <= n; i++) {
for (int a = 1; a <= amt; a++) {
if (coins[i - 1] > a) {
// 若超过目标金额,则不选硬币 i
dp[a] = dp[a];
} else {
// 不选和选硬币 i 这两种方案的较小值
dp[a] = Math.min(dp[a], dp[a - coins[i - 1]] + 1);
}
}
}
return dp[amt] != MAX ? dp[amt] : -1;
}
public static void main(String[] args) {
int[] coins = { 1, 2, 5 };
int amt = 4;
// 动态规划
int res = coinChangeDP(coins, amt);
System.out.println("凑到目标金额所需的最少硬币数量为 " + res);
// 空间优化后的动态规划
res = coinChangeDPComp(coins, amt);
System.out.println("凑到目标金额所需的最少硬币数量为 " + res);
}
}