About Algorithm
From My Limbic Wiki
Tips
- Use Set/Hashet for unique values https://leetcode.com/problems/contains-duplicate/
- Use Math.max(int,int) to get the max number between a number and a calculation. https://leetcode.com/problems/best-time-to-buy-and-sell-stock/
- A product invert the sign, the max becomes the min, and the min becomes the max: https://leetcode.com/problems/maximum-product-subarray/
Array Algoritms
Kadane’s Algorithm - adapted on cumulated products
public int[] productExceptSelf(int[] nums) {
int length = nums.length;
int[] answer = new int[nums.length];
int leftProduct = 1;
for (int i = 0; i < length; i++) {
answer[i] = leftProduct;
leftProduct *= nums[i];
}
int rightProduct = 1;
for (int i = length - 1; i >= 0; i--) {
answer[i] *= rightProduct;
rightProduct *= nums[i];
}
return answer;
}
Two Pass - (LeetCode)- to calculate the left and right products
class Solution {
public int[] productExceptSelf(int[] nums) {
int length = nums.length;
int[] answer = new int[nums.length];
int leftProduct = 1;
for (int i = 0; i < length; i++) {
answer[i] = leftProduct;
leftProduct *= nums[i];
}
int rightProduct = 1;
for (int i = length - 1; i >= 0; i--) {
answer[i] *= rightProduct;
rightProduct *= nums[i];
}
return answer;
}
}
Binary Search - (LeetCode - LeetCode) - At every iteration, it divide the space by 2 using left or right.
- Find the pivot
- Binary Search to left side, Binary Search to right side
private int binarySearch(
int[] nums,
int leftBoundary,
int rightBoundary,
int target
) {
int leftIndex = leftBoundary;
int rightIndex = rightBoundary;
while (leftIndex <= rightIndex) {
int midIndex = (leftIndex + rightIndex) / 2;
int midValue = nums[midIndex];
if (midValue == target) {
return midIndex;
} else if (midValue > target) {
rightIndex = midIndex - 1;
} else {
leftIndex = midIndex + 1;
}
}
return -1;
}
3 Sum
class Solution {
public List<List<Integer>> threeSum(int[] nums) {
Arrays.sort(nums);
Set<List<Integer>> results = new HashSet<>();
for(int i = 0; i < nums.length - 2; i++){
// Skip duplicates for fixed element
if (i > 0 && nums[i] == nums [i - 1]) continue;
int pointerLeft = i + 1;
int pointerRight = nums.length -1;
while(pointerLeft < pointerRight){
int sum = nums[pointerLeft] + nums[i] + nums[pointerRight];
if(sum == 0){
// Got one !
results.add(Arrays.asList(nums[pointerLeft], nums[i], nums[pointerRight]));
// Skip duplicates for left and right pointers
while(pointerLeft < pointerRight && nums[pointerLeft] == nums[pointerLeft + 1]){ pointerLeft++; }
while(pointerRight > pointerLeft && nums[pointerRight] == nums[pointerRight - 1]){ pointerRight--; }
pointerLeft++;
pointerRight--;
}else if (sum < 0){
// Sum is too small, move left pointer to try to increase the sum
pointerLeft++;
}else{
// Sum is too small, move right pointer to try to increase the sum
pointerRight--;
}
}
}
return new ArrayList<>(results);
}
}
MergeSort
- QuickSort (Java)
- Bit Manipulation
- Backtracking
- Graph Traversal
- Union-Find
- Dynamic Programming
- Greedy
- Sliding Window / Two Pointers
- BubbleSort (Java)
- Swapping the adjacent numbers two by two by order
Graphs
- Dijkstra
- Topologic sorting
Cryptography & Compression
- Shannon-Fano
- Huffman
- Diffie-Hellman
- RSA
Prime Numbers
- ?
Most beautiful Equation
- P=NP (Les Équations de Yang Mills)
- Millenium problems (Clay Mathematics Institute)
- Few ideas