代码随想录二刷day46

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文章目录

  • 前言
  • 一、力扣139. 单词拆分
  • 二、力扣动态规划:关于多重背包,你该了解这些!


前言


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一、力扣139. 单词拆分

class Solution {
    public boolean wordBreak(String s, List<String> wordDict) {
        HashSet<String> set = new HashSet<>(wordDict);
        boolean[] dp = new boolean[s.length()+1];
        dp[0] = true;
        for(int i = 1; i <= s.length(); i ++){
            for(int j = 0; j < i && !dp[i]; j ++){
                if(dp[j] && set.contains(s.substring(j,i))){
                    dp[i] = true;
                }
            }
        }
        return dp[dp.length-1];
    }
}

二、力扣动态规划:关于多重背包,你该了解这些!

public void testMultiPack1(){
    // 版本一:改变物品数量为01背包格式
    List<Integer> weight = new ArrayList<>(Arrays.asList(1, 3, 4));
    List<Integer> value = new ArrayList<>(Arrays.asList(15, 20, 30));
    List<Integer> nums = new ArrayList<>(Arrays.asList(2, 3, 2));
    int bagWeight = 10;

    for (int i = 0; i < nums.size(); i++) {
        while (nums.get(i) > 1) { // 把物品展开为i
            weight.add(weight.get(i));
            value.add(value.get(i));
            nums.set(i, nums.get(i) - 1);
        }
    }

    int[] dp = new int[bagWeight + 1];
    for(int i = 0; i < weight.size(); i++) { // 遍历物品
        for(int j = bagWeight; j >= weight.get(i); j--) { // 遍历背包容量
            dp[j] = Math.max(dp[j], dp[j - weight.get(i)] + value.get(i));
        }
        System.out.println(Arrays.toString(dp));
    }
}

public void testMultiPack2(){
    // 版本二:改变遍历个数
    int[] weight = new int[] {1, 3, 4};
    int[] value = new int[] {15, 20, 30};
    int[] nums = new int[] {2, 3, 2};
    int bagWeight = 10;

    int[] dp = new int[bagWeight + 1];
    for(int i = 0; i < weight.length; i++) { // 遍历物品
        for(int j = bagWeight; j >= weight[i]; j--) { // 遍历背包容量
            // 以上为01背包,然后加一个遍历个数
            for (int k = 1; k <= nums[i] && (j - k * weight[i]) >= 0; k++) { // 遍历个数
                dp[j] = Math.max(dp[j], dp[j - k * weight[i]] + k * value[i]);
            }
            System.out.println(Arrays.toString(dp));
        }
    }
}

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