Added tasks 373-433

Author: ThanhNIT

README.md

@@ -319,6 +319,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 
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+| 0392 |[Is Subsequence](src/main/ts/g0301_0400/s0392_is_subsequence/solution.ts)| Easy | String, Dynamic_Programming, Two_Pointers | 0 | 100.00
 | 1143 |[Longest Common Subsequence](src/main/ts/g1101_1200/s1143_longest_common_subsequence/solution.ts)| Medium | Top_100_Liked_Questions, String, Dynamic_Programming, Big_O_Time_O(n\*m)_Space_O(n\*m) | 50 | 69.40
 | 0072 |[Edit Distance](src/main/ts/g0001_0100/s0072_edit_distance/solution.ts)| Medium | Top_100_Liked_Questions, String, Dynamic_Programming, Big_O_Time_O(n^2)_Space_O(n2) | 6 | 93.83
 
@@ -579,6 +580,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 
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+| 0433 |[Minimum Genetic Mutation](src/main/ts/g0401_0500/s0433_minimum_genetic_mutation/solution.ts)| Medium | String, Hash_Table, Breadth_First_Search | 0 | 100.00
 | 0127 |[Word Ladder](src/main/ts/g0101_0200/s0127_word_ladder/solution.ts)| Hard | Top_Interview_Questions, String, Hash_Table, Breadth_First_Search | 41 | 95.63
 
 #### Day 13 Graph Theory
@@ -655,6 +657,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
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 | 0205 |[Isomorphic Strings](src/main/ts/g0201_0300/s0205_isomorphic_strings/solution.ts)| Easy | String, Hash_Table | 3 | 96.02
+| 0392 |[Is Subsequence](src/main/ts/g0301_0400/s0392_is_subsequence/solution.ts)| Easy | String, Dynamic_Programming, Two_Pointers | 0 | 100.00
 
 #### Day 3 Linked List
 
@@ -918,6 +921,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 
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+| 0392 |[Is Subsequence](src/main/ts/g0301_0400/s0392_is_subsequence/solution.ts)| Easy | String, Dynamic_Programming, Two_Pointers | 0 | 100.00
 | 0125 |[Valid Palindrome](src/main/ts/g0101_0200/s0125_valid_palindrome/solution.ts)| Easy | Top_Interview_Questions, String, Two_Pointers | 0 | 100.00
 | 0026 |[Remove Duplicates from Sorted Array](src/main/ts/g0001_0100/s0026_remove_duplicates_from_sorted_array/solution.ts)| Easy | Top_Interview_Questions, Array, Two_Pointers | 0 | 100.00
 | 0042 |[Trapping Rain Water](src/main/ts/g0001_0100/s0042_trapping_rain_water/solution.ts)| Hard | Top_100_Liked_Questions, Top_Interview_Questions, Array, Dynamic_Programming, Two_Pointers, Stack, Monotonic_Stack, Big_O_Time_O(n)_Space_O(1) | 0 | 100.00
@@ -1062,6 +1066,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
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 | 0125 |[Valid Palindrome](src/main/ts/g0101_0200/s0125_valid_palindrome/solution.ts)| Easy | Top_Interview_Questions, String, Two_Pointers | 0 | 100.00
+| 0392 |[Is Subsequence](src/main/ts/g0301_0400/s0392_is_subsequence/solution.ts)| Easy | String, Dynamic_Programming, Two_Pointers | 0 | 100.00
 | 0167 |[Two Sum II - Input Array Is Sorted](src/main/ts/g0101_0200/s0167_two_sum_ii_input_array_is_sorted/solution.ts)| Medium | Array, Binary_Search, Two_Pointers | 0 | 100.00
 | 0011 |[Container With Most Water](src/main/ts/g0001_0100/s0011_container_with_most_water/solution.ts)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Greedy, Two_Pointers, Big_O_Time_O(n)_Space_O(1) | 2 | 80.13
 | 0015 |[3Sum](src/main/ts/g0001_0100/s0015_3sum/solution.ts)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Sorting, Two_Pointers, Big_O_Time_O(n\*log(n))_Space_O(n^2) | 30 | 91.56
@@ -1089,6 +1094,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 
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+| 0383 |[Ransom Note](src/main/ts/g0301_0400/s0383_ransom_note/solution.ts)| Easy | String, Hash_Table, Counting | 4 | 97.40
 | 0205 |[Isomorphic Strings](src/main/ts/g0201_0300/s0205_isomorphic_strings/solution.ts)| Easy | String, Hash_Table | 3 | 96.02
 | 0290 |[Word Pattern](src/main/ts/g0201_0300/s0290_word_pattern/solution.ts)| Easy | String, Hash_Table | 0 | 100.00
 | 0242 |[Valid Anagram](src/main/ts/g0201_0300/s0242_valid_anagram/solution.ts)| Easy | String, Hash_Table, Sorting | 4 | 97.99
@@ -1177,6 +1183,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 
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+| 0433 |[Minimum Genetic Mutation](src/main/ts/g0401_0500/s0433_minimum_genetic_mutation/solution.ts)| Medium | String, Hash_Table, Breadth_First_Search | 0 | 100.00
 | 0127 |[Word Ladder](src/main/ts/g0101_0200/s0127_word_ladder/solution.ts)| Hard | Top_Interview_Questions, String, Hash_Table, Breadth_First_Search | 41 | 95.63
 
 #### Top Interview 150 Trie
@@ -1205,6 +1212,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 |-|-|-|-|-|-
 | 0108 |[Convert Sorted Array to Binary Search Tree](src/main/ts/g0101_0200/s0108_convert_sorted_array_to_binary_search_tree/solution.ts)| Easy | Top_Interview_Questions, Array, Tree, Binary_Tree, Binary_Search_Tree, Divide_and_Conquer | 0 | 100.00
 | 0148 |[Sort List](src/main/ts/g0101_0200/s0148_sort_list/solution.ts)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Sorting, Two_Pointers, Linked_List, Divide_and_Conquer, Merge_Sort, Big_O_Time_O(log(N))_Space_O(log(N)) | 36 | 44.94
+| 0427 |[Construct Quad Tree](src/main/ts/g0401_0500/s0427_construct_quad_tree/solution.ts)| Medium | Array, Tree, Matrix, Divide_and_Conquer | ew 150 | ew 150 Divide and Conquer
 | 0023 |[Merge k Sorted Lists](src/main/ts/g0001_0100/s0023_merge_k_sorted_lists/solution.ts)| Hard | Top_100_Liked_Questions, Top_Interview_Questions, Heap_Priority_Queue, Linked_List, Divide_and_Conquer, Merge_Sort, Big_O_Time_O(k\*n\*log(k))_Space_O(log(k)) | 4 | 97.65
 
 #### Top Interview 150 Kadane's Algorithm
@@ -1230,6 +1238,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
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 | 0215 |[Kth Largest Element in an Array](src/main/ts/g0201_0300/s0215_kth_largest_element_in_an_array/solution.ts)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Sorting, Heap_Priority_Queue, Divide_and_Conquer, Quickselect, Big_O_Time_O(n\*log(n))_Space_O(log(n)) | 4 | 99.64
+| 0373 |[Find K Pairs with Smallest Sums](src/main/ts/g0301_0400/s0373_find_k_pairs_with_smallest_sums/solution.ts)| Medium | Array, Heap_Priority_Queue | 42 | 85.15
 | 0295 |[Find Median from Data Stream](src/main/ts/g0201_0300/s0295_find_median_from_data_stream/solution.ts)| Hard | Top_100_Liked_Questions, Sorting, Two_Pointers, Design, Heap_Priority_Queue, Data_Stream, Big_O_Time_O(n\*log_n)_Space_O(n) | 106 | 92.31
 
 #### Top Interview 150 Bit Manipulation
@@ -1315,6 +1324,7 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 
 | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- -->
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+| 0383 |[Ransom Note](src/main/ts/g0301_0400/s0383_ransom_note/solution.ts)| Easy | String, Hash_Table, Counting | 4 | 97.40
 | 0242 |[Valid Anagram](src/main/ts/g0201_0300/s0242_valid_anagram/solution.ts)| Easy | String, Hash_Table, Sorting | 4 | 97.99
 
 #### Day 7 Linked List
@@ -1741,8 +1751,13 @@ TypeScript-based LeetCode algorithm problem solutions, regularly updated.
 | 0494 |[Target Sum](src/main/ts/g0401_0500/s0494_target_sum/solution.ts)| Medium | Array, Dynamic_Programming, Backtracking, Big_O_Time_O(n\*(sum+s))_Space_O(n\*(sum+s)) | 24 | 83.43
 | 0438 |[Find All Anagrams in a String](src/main/ts/g0401_0500/s0438_find_all_anagrams_in_a_string/solution.ts)| Medium | Top_100_Liked_Questions, String, Hash_Table, Sliding_Window, Algorithm_II_Day_5_Sliding_Window, Programming_Skills_II_Day_12, Level_1_Day_12_Sliding_Window/Two_Pointer, Big_O_Time_O(n+m)_Space_O(1) | 8 | 97.80
 | 0437 |[Path Sum III](src/main/ts/g0401_0500/s0437_path_sum_iii/solution.ts)| Medium | Depth_First_Search, Tree, Binary_Tree, Level_2_Day_7_Tree, Big_O_Time_O(n)_Space_O(n) | 3 | 86.41
+| 0433 |[Minimum Genetic Mutation](src/main/ts/g0401_0500/s0433_minimum_genetic_mutation/solution.ts)| Medium | String, Hash_Table, Breadth_First_Search, Graph_Theory_I_Day_12_Breadth_First_Search, Top_Interview_150_Graph_BFS | 0 | 100.00
+| 0427 |[Construct Quad Tree](src/main/ts/g0401_0500/s0427_construct_quad_tree/solution.ts)| Medium | Array, Tree, Matrix, Divide_and_Conquer | ew 150 | ew 150 Divide and Conquer
 | 0416 |[Partition Equal Subset Sum](src/main/ts/g0401_0500/s0416_partition_equal_subset_sum/solution.ts)| Medium | Top_100_Liked_Questions, Array, Dynamic_Programming, Level_2_Day_13_Dynamic_Programming, Big_O_Time_O(n\*sums)_Space_O(n\*sums) | 33 | 93.24
 | 0394 |[Decode String](src/main/ts/g0301_0400/s0394_decode_string/solution.ts)| Medium | Top_100_Liked_Questions, String, Stack, Recursion, Level_1_Day_14_Stack, Udemy_Strings, Big_O_Time_O(n)_Space_O(n) | 0 | 100.00
+| 0392 |[Is Subsequence](src/main/ts/g0301_0400/s0392_is_subsequence/solution.ts)| Easy | String, Dynamic_Programming, Two_Pointers, Dynamic_Programming_I_Day_19, Level_1_Day_2_String, Udemy_Two_Pointers, Top_Interview_150_Two_Pointers | 0 | 100.00
+| 0383 |[Ransom Note](src/main/ts/g0301_0400/s0383_ransom_note/solution.ts)| Easy | String, Hash_Table, Counting, Data_Structure_I_Day_6_String, Top_Interview_150_Hashmap | 4 | 97.40
+| 0373 |[Find K Pairs with Smallest Sums](src/main/ts/g0301_0400/s0373_find_k_pairs_with_smallest_sums/solution.ts)| Medium | Array, Heap_Priority_Queue, Top_Interview_150_Heap | 42 | 85.15
 | 0347 |[Top K Frequent Elements](src/main/ts/g0301_0400/s0347_top_k_frequent_elements/solution.ts)| Medium | Top_100_Liked_Questions, Array, Hash_Table, Sorting, Heap_Priority_Queue, Counting, Divide_and_Conquer, Quickselect, Bucket_Sort, Data_Structure_II_Day_20_Heap_Priority_Queue, Big_O_Time_O(n\*log(n))_Space_O(k) | 7 | 87.13
 | 0338 |[Counting Bits](src/main/ts/g0301_0400/s0338_counting_bits/solution.ts)| Easy | Dynamic_Programming, Bit_Manipulation, Udemy_Bit_Manipulation, Big_O_Time_O(num)_Space_O(num) | 1 | 89.22
 | 0322 |[Coin Change](src/main/ts/g0301_0400/s0322_coin_change/solution.ts)| Medium | Top_100_Liked_Questions, Array, Dynamic_Programming, Breadth_First_Search, Algorithm_II_Day_18_Dynamic_Programming, Dynamic_Programming_I_Day_20, Level_2_Day_12_Dynamic_Programming, Top_Interview_150_1D_DP, Big_O_Time_O(m\*n)_Space_O(amount) | 27 | 89.42

src/main/ts/g0301_0400/s0373_find_k_pairs_with_smallest_sums/readme.md

@@ -0,0 +1,40 @@
+373\. Find K Pairs with Smallest Sums
+
+Medium
+
+You are given two integer arrays `nums1` and `nums2` sorted in **ascending order** and an integer `k`.
+
+Define a pair `(u, v)` which consists of one element from the first array and one element from the second array.
+
+Return _the_ `k` _pairs_ <code>(u<sub>1</sub>, v<sub>1</sub>), (u<sub>2</sub>, v<sub>2</sub>), ..., (u<sub>k</sub>, v<sub>k</sub>)</code> _with the smallest sums_.
+
+**Example 1:**
+
+**Input:** nums1 = [1,7,11], nums2 = [2,4,6], k = 3
+
+**Output:** [[1,2],[1,4],[1,6]]
+
+**Explanation:** The first 3 pairs are returned from the sequence: [1,2],[1,4],[1,6],[7,2],[7,4],[11,2],[7,6],[11,4],[11,6]
+
+**Example 2:**
+
+**Input:** nums1 = [1,1,2], nums2 = [1,2,3], k = 2
+
+**Output:** [[1,1],[1,1]]
+
+**Explanation:** The first 2 pairs are returned from the sequence: [1,1],[1,1],[1,2],[2,1],[1,2],[2,2],[1,3],[1,3],[2,3]
+
+**Example 3:**
+
+**Input:** nums1 = [1,2], nums2 = [3], k = 3
+
+**Output:** [[1,3],[2,3]]
+
+**Explanation:** All possible pairs are returned from the sequence: [1,3],[2,3]
+
+**Constraints:**
+
+*   <code>1 <= nums1.length, nums2.length <= 10<sup>5</sup></code>
+*   <code>-10<sup>9</sup> <= nums1[i], nums2[i] <= 10<sup>9</sup></code>
+*   `nums1` and `nums2` both are sorted in **ascending order**.
+*   `1 <= k <= 1000`

src/main/ts/g0301_0400/s0373_find_k_pairs_with_smallest_sums/solution.ts

@@ -0,0 +1,86 @@
+// #Medium #Array #Heap_Priority_Queue #Top_Interview_150_Heap
+// #2025_04_14_Time_42_ms_(85.15%)_Space_85.10_MB_(76.24%)
+
+class MinHeap {
+    private heap: { sum: number; i: number; j: number }[]
+
+    constructor() {
+        this.heap = []
+    }
+
+    push(val: { sum: number; i: number; j: number }) {
+        this.heap.push(val)
+        this.bubbleUp()
+    }
+
+    pop(): { sum: number; i: number; j: number } | undefined {
+        if (this.heap.length === 0) {
+            return undefined
+        }
+        if (this.heap.length === 1) {
+            return this.heap.pop()
+        }
+        const min = this.heap[0]
+        this.heap[0] = this.heap.pop()!
+        this.bubbleDown()
+        return min
+    }
+
+    isEmpty(): boolean {
+        return this.heap.length === 0
+    }
+
+    private bubbleUp() {
+        let index = this.heap.length - 1
+        while (index > 0) {
+            let parentIndex = Math.floor((index - 1) / 2)
+            if (this.heap[parentIndex].sum <= this.heap[index].sum) {
+                break
+            }
+            ;[this.heap[parentIndex], this.heap[index]] = [this.heap[index], this.heap[parentIndex]]
+            index = parentIndex
+        }
+    }
+
+    private bubbleDown() {
+        let index = 0
+        let length = this.heap.length
+        while (true) {
+            let leftChildIndex = 2 * index + 1
+            let rightChildIndex = 2 * index + 2
+            let smallest = index
+            if (leftChildIndex < length && this.heap[leftChildIndex].sum < this.heap[smallest].sum) {
+                smallest = leftChildIndex
+            }
+            if (rightChildIndex < length && this.heap[rightChildIndex].sum < this.heap[smallest].sum) {
+                smallest = rightChildIndex
+            }
+            if (smallest === index) {
+                break
+            }
+            ;[this.heap[index], this.heap[smallest]] = [this.heap[smallest], this.heap[index]]
+            index = smallest
+        }
+    }
+}
+
+function kSmallestPairs(nums1: number[], nums2: number[], k: number): number[][] {
+    let ans: number[][] = []
+    if (nums1.length === 0 || nums2.length === 0 || k === 0) {
+        return ans
+    }
+    let minHeap = new MinHeap()
+    for (let i = 0; i < Math.min(nums1.length, k); i++) {
+        minHeap.push({ sum: nums1[i] + nums2[0], i, j: 0 })
+    }
+    while (k-- > 0 && !minHeap.isEmpty()) {
+        let { i, j } = minHeap.pop()!
+        ans.push([nums1[i], nums2[j]])
+        if (j + 1 < nums2.length) {
+            minHeap.push({ sum: nums1[i] + nums2[j + 1], i, j: j + 1 })
+        }
+    }
+    return ans
+}
+
+export { kSmallestPairs }

src/main/ts/g0301_0400/s0383_ransom_note/readme.md

@@ -0,0 +1,30 @@
+383\. Ransom Note
+
+Easy
+
+Given two stings `ransomNote` and `magazine`, return `true` if `ransomNote` can be constructed from `magazine` and `false` otherwise.
+
+Each letter in `magazine` can only be used once in `ransomNote`.
+
+**Example 1:**
+
+**Input:** ransomNote = "a", magazine = "b"
+
+**Output:** false
+
+**Example 2:**
+
+**Input:** ransomNote = "aa", magazine = "ab"
+
+**Output:** false
+
+**Example 3:**
+
+**Input:** ransomNote = "aa", magazine = "aab"
+
+**Output:** true
+
+**Constraints:**
+
+*   <code>1 <= ransomNote.length, magazine.length <= 10<sup>5</sup></code>
+*   `ransomNote` and `magazine` consist of lowercase English letters.

src/main/ts/g0301_0400/s0383_ransom_note/solution.ts

@@ -0,0 +1,20 @@
+// #Easy #String #Hash_Table #Counting #Data_Structure_I_Day_6_String #Top_Interview_150_Hashmap
+// #2025_04_14_Time_4_ms_(97.40%)_Space_57.51_MB_(84.32%)
+
+function canConstruct(ransomNote: string, magazine: string): boolean {
+    const freq: number[] = new Array(26).fill(0)
+    let remaining = ransomNote.length
+    for (let i = 0; i < remaining; i++) {
+        freq[ransomNote.charCodeAt(i) - 97]++
+    }
+    for (let i = 0; i < magazine.length && remaining > 0; i++) {
+        const index = magazine.charCodeAt(i) - 97
+        if (freq[index] > 0) {
+            freq[index]--
+            remaining--
+        }
+    }
+    return remaining === 0
+}
+
+export { canConstruct }

src/main/ts/g0301_0400/s0392_is_subsequence/readme.md

@@ -0,0 +1,27 @@
+392\. Is Subsequence
+
+Easy
+
+Given two strings `s` and `t`, return `true` _if_ `s` _is a **subsequence** of_ `t`_, or_ `false` _otherwise_.
+
+A **subsequence** of a string is a new string that is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (i.e., `"ace"` is a subsequence of `"abcde"` while `"aec"` is not).
+
+**Example 1:**
+
+**Input:** s = "abc", t = "ahbgdc"
+
+**Output:** true
+
+**Example 2:**
+
+**Input:** s = "axc", t = "ahbgdc"
+
+**Output:** false
+
+**Constraints:**
+
+*   `0 <= s.length <= 100`
+*   <code>0 <= t.length <= 10<sup>4</sup></code>
+*   `s` and `t` consist only of lowercase English letters.
+
+**Follow up:** Suppose there are lots of incoming `s`, say <code>s<sub>1</sub>, s<sub>2</sub>, ..., s<sub>k</sub></code> where <code>k >= 10<sup>9</sup></code>, and you want to check one by one to see if `t` has its subsequence. In this scenario, how would you change your code?

src/main/ts/g0301_0400/s0392_is_subsequence/solution.ts

@@ -0,0 +1,25 @@
+// #Easy #String #Dynamic_Programming #Two_Pointers #Dynamic_Programming_I_Day_19
+// #Level_1_Day_2_String #Udemy_Two_Pointers #Top_Interview_150_Two_Pointers
+// #2025_04_14_Time_0_ms_(100.00%)_Space_56.51_MB_(36.22%)
+
+function isSubsequence(s: string, t: string): boolean {
+    let i = 0
+    let j = 0
+    const m = s.length
+    const n = t.length
+    if (m === 0) {
+        return true
+    }
+    while (j < n) {
+        if (s[i] === t[j]) {
+            i++
+            if (i === m) {
+                return true
+            }
+        }
+        j++
+    }
+    return false
+}
+
+export { isSubsequence }