Table of Contents
I. Common Java Operations
- Sort an array:
Array.sort(arrayname)
- Iterate through a string/Convert string into a char array:
char i : str.toCharArray()
- Initialise double array list:
List<List<Integer>> res = new ArrayList<>();
res.add(new ArrayList<>());
res.get(0).add(10);
- When fail in very large number, decalre and cast the number into long:
long sum = (long) nums[i] + nums[left] + nums[right];
II. Leetcode Exercises
(Medium) 454. 4Sum II
(Link)
Method: Hashmap
Time complexity:
O
(
n
2
)
O(n^2)
O(n2), comapre with brute force
O
(
n
4
)
O(n^4)
O(n4)
class Solution {
public int fourSumCount(int[] nums1, int[] nums2, int[] nums3, int[] nums4) {
int res = 0;
Map<Integer, Integer> map = new HashMap<Integer, Integer>();
for (int i : nums1) {
for (int j : nums2) {
int sum = i + j;
map.put(sum, map.getOrDefault(sum, 0) + 1);
}
}
for (int i : nums3) {
for (int j : nums4) {
res += map.getOrDefault(0 - i - j, 0);
}
}
return res;
}
}
(Easy) 383. Ransom Note
(Link)
Method: HashMap, Array(more efficient)
Time complexity:
O
(
n
)
O(n)
O(n)
Method 1: Array (recommended)
class Solution {
public boolean canConstruct(String ransomNote, String magazine) {
// shortcut
if (ransomNote.length() > magazine.length()) {
return false;
}
int[] record = new int[26];
for(char c : magazine.toCharArray()){
record[c - 'a'] += 1;
}
for(char c : ransomNote.toCharArray()){
record[c - 'a'] -= 1;
}
for(int i : record){
if(i < 0){
return false;
}
}
return true;
}
}
Method 2: Hashmap
class Solution {
public boolean canConstruct(String ransomNote, String magazine) {
Map<Character, Integer> map = new HashMap<>();
for (Character i : magazine.toCharArray()) {
map.put(i, map.getOrDefault(i, 0) + 1);
}
for (Character j : ransomNote.toCharArray()) {
if (map.containsKey(j) && map.get(j) > 0) {
map.put(j, map.get(j) - 1);
} else {
return false;
}
}
return true;
}
}
(Medium) 15. 3Sum
(Link)
Method: 2 pointers
Time complexity:
O
(
n
2
)
O(n^2)
O(n2), comapred with brute force
O
(
n
3
)
O(n^3)
O(n3)
class Solution {
public List<List<Integer>> threeSum(int[] nums) {
List<List<Integer>> res = new ArrayList<>();
Arrays.sort(nums);
for (int i = 0; i < nums.length - 2; i++) {
// Make sure no duplicated values in the combination
if (i > 0 && nums[i] == nums[i - 1]) continue;
int left = i + 1;
int right = nums.length - 1;
while (left < right) {
int sum = nums[i] + nums[left] + nums[right];
if (sum == 0) {
List<Integer> temp = new ArrayList<>();
temp.add(nums[i]);
temp.add(nums[left]);
temp.add(nums[right]);
res.add(temp);
// Make sure no duplicated values in the combination
while (left < right && nums[left] == nums[left + 1]) left++;
while (left < right && nums[right] == nums[right - 1]) right--;
left++;
right--;
} else if (sum > 0) {
right--;
} else {
left++;
}
}
}
return res;
}
}
(Medium) 18. 4Sum
(Link)
Method: 3 pointers
Time complexity:
O
(
n
3
)
O(n^3)
O(n3), comapred with brute force
O
(
n
4
)
O(n^4)
O(n4)
class Solution {
public List<List<Integer>> fourSum(int[] nums, int target) {
List<List<Integer>> res = new ArrayList<>();
Arrays.sort(nums);
for (int i = 0; i < nums.length - 3; i++) {
for (int j = i + 1; j < nums.length - 2; j++) {
int left = j + 1;
int right = nums.length - 1;
while (left < right) {
long sum = (long) nums[i] + nums[j] + nums[left] + nums[right];
if (sum == target) {
List<Integer> temp = new ArrayList<>();
temp.add(nums[i]);
temp.add(nums[j]);
temp.add(nums[left]);
temp.add(nums[right]);
res.add(temp);
while (right - 1 >= 0 && nums[right - 1] == nums[right]) {right--;}
while (left + 1 < nums.length && nums[left + 1] == nums[left]) {left++;}
left++;
right--;
} else if (sum > target) {
right--;
} else {
left++;
}
}
// Jump to the next number after the last two pointer searching
while (j + 1 < nums.length - 2 && nums[j + 1] == nums[j]) {j++;}
}
// Jump to the next number after the last three pointer searching
while (i + 1 < nums.length - 3 && nums[i + 1] == nums[i]) {i++;}
}
return res;
}
}
Notes:
- Fail test casse:
nums = [1000000000,1000000000,1000000000,1000000000], target = -294967296
, since the input contains very large numbers, the code encounters integer overflow when computing the sum --> should decalre and cast the sum as long - Handle duplicated values in the array: duplcates can appear on num[a] with num[b], however it can’t be counted twice on nums[a] --> should be careful with when to skip the duplicatd pointer index
- Test Case 1:
- Input: nums = [1,0,-1,0,-2,2], target = 0
- Output: [[-2,-1,1,2],[-2,0,0,2],[-1,0,0,1]]
- Test Case 2:
- Input: nums = [2,2,2,2,2], target = 8
- Output: [[2,2,2,2]]
- Test Case 1: