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CoinChange2.java
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99 lines (90 loc) · 3.31 KB
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package dynamicProgramming.knapsackProblem;
/**
* Created by Yang on 2017/10/3.
************************************************************************************************
* 518. Coin Change 2
* https://leetcode.com/problems/coin-change-2/
* 背包问题(http://love-oriented.com/pack/)
* 416. Partition Equal Subset Sum(01背包,和为target的集合是否存在)
* 494. Target Sum(01背包,和为target的集合共有多少种)
************************************************************************************************
* You are given coins of different denominations and a total amount of money. Write a function
* to compute the number of combinations that make up that amount. You may assume that you have
* infinite number of each kind of coin.
*
* Example 1:
* Input: amount = 5, coins = [1, 2, 5]
* Output: 4
* Explanation:
* there are four ways to make up the amount:
* 5=5
* 5=2+2+1
* 5=2+1+1+1
* 5=1+1+1+1+1
*
* Example 2:
* Input: amount = 3, coins = [2]
* Output: 0
* Explanation:
* the amount of 3 cannot be made up just with coins of 2.
*
* Example 3:
* Input: amount = 10, coins = [10]
* Output: 1
*
* Note: You can assume that
* 0 <= amount <= 5000
* 1 <= coin <= 5000
* the number of coins is less than 500
* the answer is guaranteed to fit into signed 32-bit integer
************************************************************************************************
*/
public class CoinChange2 {
/**
* 完全背包问题,与01背包问题的区别在于,dp[i][j]迭代计算的时候,01背包从右向左,完全背包从左向右
* @param amount
* @param coins
* @return
*/
public int change(int amount, int[] coins) {
int[][] dp = new int[coins.length+1][amount + 1];
for (int i = 0; i < dp.length; i++) {
dp[i][0] = 1;
}
for (int i = 1; i <= coins.length; i++) {
for (int j = 1; j <= amount; j++) {
dp[i][j] = dp[i-1][j] + (j >= coins[i-1] ? dp[i][j-coins[i-1]] : 0);
}
}
return dp[coins.length][amount];
}
public int changeOpt(int amount, int[] coins) {
int[] dp = new int[amount + 1];
dp[0] = 1;
for (int i = 1; i <= coins.length; i++) {
for (int j = 1; j <= amount; j++) {
dp[j] = dp[j] + (j >= coins[i-1] ? dp[j-coins[i-1]] : 0);
}
}
return dp[amount];
}
public int changeOptReconstruct(int amount, int[] coins) {
int[] dp = new int[amount+1];
dp[0] = 1;
for (int coin : coins) {
for (int i = coin; i <= amount; i++) {
dp[i] += dp[i-coin];
}
}
return dp[amount];
}
public static void main(String[] args) {
CoinChange2 coinChange2 = new CoinChange2();
System.out.println(coinChange2.change(5, new int[]{1,2,5})
+ " <---> " + coinChange2.changeOpt(5, new int[]{1,2,5})
+ " <---> " + coinChange2.changeOptReconstruct(5, new int[]{1,2,5}));
System.out.println(coinChange2.change(3, new int[]{2})
+ " <---> " + coinChange2.changeOpt(3, new int[]{2})
+ " <---> " + coinChange2.changeOptReconstruct(3, new int[]{2}));
}
}