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hello-algo/en/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 {
/* Coin change: Dynamic programming */
static int coinChangeDP(int[] coins, int amt) {
int n = coins.length;
int MAX = amt + 1;
// Initialize dp table
int[][] dp = new int[n + 1][amt + 1];
// State transition: first row and first column
for (int a = 1; a <= amt; a++) {
dp[0][a] = MAX;
}
// State transition: the rest of the rows and columns
for (int i = 1; i <= n; i++) {
for (int a = 1; a <= amt; a++) {
if (coins[i - 1] > a) {
// If exceeding the target amount, do not choose coin i
dp[i][a] = dp[i - 1][a];
} else {
// The smaller value between not choosing and choosing coin i
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;
}
/* Coin change: Space-optimized dynamic programming */
static int coinChangeDPComp(int[] coins, int amt) {
int n = coins.length;
int MAX = amt + 1;
// Initialize dp table
int[] dp = new int[amt + 1];
Arrays.fill(dp, MAX);
dp[0] = 0;
// State transition
for (int i = 1; i <= n; i++) {
for (int a = 1; a <= amt; a++) {
if (coins[i - 1] > a) {
// If exceeding the target amount, do not choose coin i
dp[a] = dp[a];
} else {
// The smaller value between not choosing and choosing coin i
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;
// Dynamic programming
int res = coinChangeDP(coins, amt);
System.out.println("The minimum number of coins required to make up the target amount is " + res);
// Space-optimized dynamic programming
res = coinChangeDPComp(coins, amt);
System.out.println("The minimum number of coins required to make up the target amount is " + res);
}
}