491. Increasing Subsequences增长型序列

[抄题]:

Given an integer array, your task is to find all the different possible increasing subsequences of the given array, and the length of an increasing subsequence should be at least 2 .

Example:

Input: [4, 6, 7, 7]
Output: [[4, 6], [4, 7], [4, 6, 7], [4, 6, 7, 7], [6, 7], [6, 7, 7], [7,7], [4,7,7]]

Note:

  1. The length of the given array will not exceed 15.
  2. The range of integer in the given array is [-100,100].
  3. The given array may contain duplicates, and two equal integers should also be considered as a special case of increasing sequence.

[暴力解法]:

时间分析:

空间分析:

[优化后]:

时间分析:

空间分析:

[奇葩输出条件]:

[奇葩corner case]:

[思维问题]:

排序没用,同一个7会被算2次,出现2个[4,7]。所以要用set<list>去重

[英文数据结构或算法,为什么不用别的数据结构或算法]:

新建数组,里面的参数是集合就行 很随意

new ArrayList(res);

[一句话思路]:

backtracing的函数里必须把数组完全地for一遍,否则不算完全的深度搜索。

[输入量]:空: 正常情况:特大:特小:程序里处理到的特殊情况:异常情况(不合法不合理的输入):

[画图]:

[一刷]:

  1. 主函数里先对新变量参数命好名,求结果时可以直接拿出来用
  2. cur.size() >= 2时即可回收

[二刷]:

括号里参数传list的时候,必须写new ArrayList(set)

[三刷]:

[四刷]:

[五刷]:

[五分钟肉眼debug的结果]:

[总结]:

backtracing的函数里必须把数组完全地for一遍,否则不算完全的深度搜索。

[复杂度]:Time complexity: O(n) Space complexity: O(n)

[算法思想:迭代/递归/分治/贪心]:

[关键模板化代码]:

[其他解法]:

[Follow Up]:

[LC给出的题目变变变]:

[代码风格] :

[是否头一次写此类driver funcion的代码] :

[潜台词] :

// package whatever; // don't place package name!

import java.io.*;
import java.util.*;
import java.lang.*; class Solution {
public List<List<Integer>> findSubsequences(int[] nums) {
//initialization: result, set
List<Integer> cur = new ArrayList<Integer>();
Set<List<Integer>> set = new HashSet<>(); //dfs
dfs(0, nums, cur, set); //return result
List<List<Integer>> result = new ArrayList(new ArrayList(set));
return result;
} public void dfs(int index, int[] nums, List<Integer> cur, Set<List<Integer>> set) {
//add if cur.size() >= 2
if (cur.size() >= 2) set.add(new ArrayList(cur)); //for each number in nums, do backtracing
for (int i = index; i < nums.length; i++) {
//add to cur if cur is null or the next num is bigger
if (cur.size() == 0 || nums[i] >= cur.get(cur.size() - 1)) {
cur.add(nums[i]);
dfs(i + 1, nums, cur, set);
cur.remove(cur.size() - 1);
}
}
}
} class driverFuction {
public static void main (String[] args) {
Solution answer = new Solution();
int[] nums = {4, 6, 7, 7};
List<List<Integer>> result = answer.findSubsequences(nums);
System.out.println(result);
}
}
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