question_slug stringlengths 3 77 | title stringlengths 1 183 | slug stringlengths 12 45 | summary stringlengths 1 160 ⌀ | author stringlengths 2 30 | certification stringclasses 2
values | created_at stringdate 2013-10-25 17:32:12 2025-04-12 09:38:24 | updated_at stringdate 2013-10-25 17:32:12 2025-04-12 09:38:24 | hit_count int64 0 10.6M | has_video bool 2
classes | content stringlengths 4 576k | upvotes int64 0 11.5k | downvotes int64 0 358 | tags stringlengths 2 193 | comments int64 0 2.56k |
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properties-graph | BEATS 100% VERY EASY SOLUTION IN C++ | beats-100-very-easy-solution-in-c-by-spi-0l0e | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | spidee180 | NORMAL | 2025-03-24T09:39:15.331173+00:00 | 2025-03-24T09:39:15.331173+00:00 | 3 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['C++'] | 0 |
properties-graph | o(n^2 * m ) - DSU but only union under specific conditions | on2-m-dsu-but-only-union-under-specific-41d0w | IntuitionDSU is great for solving connected component questions but we need to modify this one. we only want to union 2 nodes if and only if there are k similar | codescoop | NORMAL | 2025-03-24T07:08:06.688866+00:00 | 2025-03-24T07:08:06.688866+00:00 | 3 | false | # Intuition
DSU is great for solving connected component questions but we need to modify this one. we only want to union 2 nodes if and only if there are k similar numbers between them. so we have to make sure we have that union logic in there otherwise we will union every node.
# Approach
DSU but modified to union on... | 0 | 0 | ['Java'] | 0 |
properties-graph | [Go] union-find data structure | go-union-find-data-structure-by-ye15-abtp | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | ye15 | NORMAL | 2025-03-24T01:15:29.552920+00:00 | 2025-03-24T01:15:29.552920+00:00 | 7 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Go'] | 0 |
properties-graph | SImple Python Solution using Union Find | simple-python-solution-using-union-find-wzfxf | Intuition
Create the edges list first by going through the number properties array as described.
Solve for the nos of connected Components using the Union Find | reddyvignesh00 | NORMAL | 2025-03-24T01:06:05.077969+00:00 | 2025-03-24T01:06:05.077969+00:00 | 6 | false | # Intuition
1. Create the edges list first by going through the number properties array as described.
2. Solve for the nos of connected Components using the Union Find algorithm based on the edge list same as Problem Number:- **323. Number of Connected Components in an Undirected Graph**
# Approach
# Complexity
- Tim... | 0 | 0 | ['Python3'] | 0 |
properties-graph | [C++] Union Find. O(n^3). | c-union-find-on3-by-lovebaonvwu-i2fo | null | lovebaonvwu | NORMAL | 2025-03-24T00:53:24.602139+00:00 | 2025-03-24T00:53:24.602139+00:00 | 4 | false |
```cpp []
class DisjointSet {
public:
DisjointSet(int n) : size(n) {
parents.resize(size);
iota(begin(parents), end(parents), 0);
ranks.assign(size, 0);
}
int Find(int x) {
if (parents[x] != x) {
parents[x] = Find(parents[x]);
}
return parents[x... | 0 | 0 | ['C++'] | 0 |
properties-graph | Go solution with union-find | go-solution-with-union-find-by-noname987-i66j | IntuitionGiven that we need to find connected components == use union-find techniqueApproachTo make union work we can do:
sort each property and compare them (t | noname987654 | NORMAL | 2025-03-23T23:50:10.513379+00:00 | 2025-03-23T23:50:10.513379+00:00 | 2 | false | # Intuition
Given that we need to find connected components == use union-find technique
# Approach
To make union work we can do:
- sort each property and compare them (this solution) - less memory
- use dictionary per property to effiniently compare - more memory
Use union find algorithm to connect components and i... | 0 | 0 | ['Go'] | 0 |
properties-graph | Union Find + Bit Manipulation. Time O(n^2), space O(n) | union-find-bit-manipulation-time-on2-spa-6ec4 | null | xxxxkav | NORMAL | 2025-03-23T21:27:18.590500+00:00 | 2025-03-23T21:27:18.590500+00:00 | 1 | false | ```
class UnionFind:
def __init__(self, n: int):
self.parent = [*range(n)]
self.rank = [1] * n
def find(self, x: int) -> int:
if self.parent[x] != x:
self.parent[x] = self.find(self.parent[x])
return self.parent[x]
def union(self, x: int, y: int) -> bool:
... | 0 | 0 | ['Bit Manipulation', 'Union Find', 'Python3'] | 0 |
properties-graph | 3 Solutions | BFS + DFS + DSU | ☑️Path Compression + Rank & Size Method✅ | 🔥Clean CPP Code🔥 | 3-solutions-bfs-dfs-dsu-path-compression-ue0l | 😊 ~ 𝙒𝙞𝙩𝙝 ❤️ 𝙗𝙮 𝙃𝙞𝙧𝙚𝙣IntuitionHi There! Take A Look At The Code You'll Get It.
Still Have Doubts! Feel Free To Comment, I'll Definitely Reply!ApproachAll Accepte | hirenjoshi | NORMAL | 2025-03-23T18:11:47.950411+00:00 | 2025-03-23T18:32:18.152454+00:00 | 9 | false | 😊 ~ 𝙒𝙞𝙩𝙝 ❤️ 𝙗𝙮 𝙃𝙞𝙧𝙚𝙣
# Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
***Hi There! Take A Look At The Code You'll Get It.
Still Have Doubts! Feel Free To Comment, I'll Definitely Reply!***
# Approach
<!-- Describe your approach to solving the problem. -->
***All Accepted :
-... | 0 | 0 | ['Depth-First Search', 'Breadth-First Search', 'Union Find', 'Graph', 'Matrix', 'C++'] | 0 |
properties-graph | Easy DSU Approach | easy-dsu-approach-by-22147407-qq44 | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | 22147407 | NORMAL | 2025-03-23T17:32:42.857006+00:00 | 2025-03-23T17:32:42.857006+00:00 | 5 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['Union Find', 'Graph', 'Ordered Set', 'C++'] | 0 |
properties-graph | DFS+Map brute force solution | dfsmap-brute-force-solution-by-codewithd-pb0o | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | codewithdubey | NORMAL | 2025-03-23T17:02:31.622397+00:00 | 2025-03-23T17:02:31.622397+00:00 | 2 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 0 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Fastest (100%) || Short & Concise || Easiest to Understand | fastest-100-short-concise-easiest-to-und-yrt2 | Intuition\nIt\'s like picking the tastiest ramen bowls from a buffet, starting with the yummiest, within a limit, ensuring each bowl adds to your overall satisf | gameboey | NORMAL | 2024-05-09T00:28:04.569649+00:00 | 2024-05-09T16:30:10.644768+00:00 | 26,899 | false | # Intuition\nIt\'s like picking the tastiest ramen bowls from a buffet, starting with the yummiest, within a limit, ensuring each bowl adds to your overall satisfaction!\n\n# Approach\n\nSo, the problem aims to maximize the total happiness gained by selecting the happiest bowls of ramen within the given budget (`k`). I... | 112 | 11 | ['Array', 'Greedy', 'Sorting', 'C++', 'Java', 'Python3', 'JavaScript'] | 32 |
maximize-happiness-of-selected-children | 💯Faster✅💯Lesser✅2 Methods🧠Detailed Approach🎯Greedy🔥Heap🔥Python🐍Java☕C++😎 | fasterlesser2-methodsdetailed-approachgr-3sc3 | \uD83D\uDE80 Hi, I\'m Mohammed Raziullah Ansari, and I\'m excited to share 2 ways to solve this question with detailed explanation of each approach:\n\n# \uD83C | Mohammed_Raziullah_Ansari | NORMAL | 2024-05-09T01:11:47.124510+00:00 | 2024-05-09T01:23:32.484038+00:00 | 6,801 | false | # \uD83D\uDE80 Hi, I\'m [Mohammed Raziullah Ansari](https://leetcode.com/Mohammed_Raziullah_Ansari/), and I\'m excited to share 2 ways to solve this question with detailed explanation of each approach:\n\n# \uD83C\uDFAFProblem Explaination: \nYou are given an array `happiness` representing the happiness values of n chi... | 54 | 5 | ['Array', 'Greedy', 'Sorting', 'C++', 'Java', 'Python3'] | 12 |
maximize-happiness-of-selected-children | 👏Beats 97.44% of users with Java🎉|| ⏩Fastest 2 Approaches💯||✅Easy & Well Explained Solution🔥💥 | beats-9744-of-users-with-java-fastest-2-8dknx | Intuition\nGiven an array of happiness levels, decrement elements up to a limit, find the maximum sum of positive happiness values among top \'k\' elements.\n\n | Rutvik_Jasani | NORMAL | 2024-05-09T03:16:34.561027+00:00 | 2024-05-09T03:16:34.561066+00:00 | 4,477 | false | # Intuition\nGiven an array of happiness levels, decrement elements up to a limit, find the maximum sum of positive happiness values among top \'k\' elements.\n\n# I Think This Can Help You(For Proof Click on the Image)\n[.\n\n# Complexity\n- Time complexity:\nn be the length of the happiness array.\n$$O(nlogn)$... | 31 | 1 | ['Array', 'Greedy', 'Sorting', 'Heap (Priority Queue)', 'Java'] | 16 |
maximize-happiness-of-selected-children | Sort->partial_sort->maxHeap->radix Sort||82ms Beats 99.98% | sort-partial_sort-maxheap-radix-sort82ms-o207 | Intuition\n Describe your first thoughts on how to solve this problem. \nSeveral months ago, this question is solved by Greedy with max heap which is similar to | anwendeng | NORMAL | 2024-05-09T01:42:43.764738+00:00 | 2024-05-09T12:36:29.247595+00:00 | 1,344 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nSeveral months ago, this question is solved by Greedy with max heap which is similar to 1 of solution in editoial.\nPut some more approaches in different ways; otherwise there is no need to post my solutions. For what? Against so heavy co... | 28 | 0 | ['Greedy', 'Sorting', 'Heap (Priority Queue)', 'C++', 'Python3'] | 8 |
maximize-happiness-of-selected-children | 🔥 🔥 🔥 Easy to understand | 💯 ✅ | In 4 languages 🔥 🔥 🔥 | easy-to-understand-in-4-languages-by-bha-01xl | Intuition\n- The function maximizes happiness by selecting elements from a sorted list, taking into account diminishing returns as more elements are selected. I | bhanu_bhakta | NORMAL | 2024-05-09T00:32:09.382150+00:00 | 2024-05-09T05:31:32.262789+00:00 | 2,321 | false | # Intuition\n- The function maximizes happiness by selecting elements from a sorted list, taking into account diminishing returns as more elements are selected. It uses a strategy where high-value elements have a priority, ensuring that selections early on contribute the most happiness before penalties increase.\n\n# A... | 25 | 4 | ['Array', 'Greedy', 'Sorting', 'C++', 'Java', 'Python3', 'JavaScript'] | 8 |
maximize-happiness-of-selected-children | Easy Video Solution 🔥 || Greedy || Simple Sorting + Count ✅ | easy-video-solution-greedy-simple-sortin-75ds | Intuition\n Describe your first thoughts on how to solve this problem. \nSort the array and dry run few scenarios\n\n\nEasy Video Explanation\n\nhttps://youtu.b | ayushnemmaniwar12 | NORMAL | 2024-03-10T04:04:39.333620+00:00 | 2024-03-10T05:39:34.368039+00:00 | 2,014 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nSort the array and dry run few scenarios\n\n\n***Easy Video Explanation***\n\nhttps://youtu.be/8F2paPNQdpo\n\n\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n O(N*log(N))\n \n\n- Space co... | 17 | 2 | ['Sorting', 'Counting', 'C++', 'Java', 'Python3'] | 8 |
maximize-happiness-of-selected-children | Python 3 || 6 lines, sort and iterate || T/S: 91% / 64% | python-3-6-lines-sort-and-iterate-ts-91-warxq | \nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n \n happiness.sort(reverse=True)\n \n fo | Spaulding_ | NORMAL | 2024-03-10T04:32:22.885095+00:00 | 2024-06-12T05:04:04.376118+00:00 | 518 | false | ```\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n \n happiness.sort(reverse=True)\n \n for i in range(k):\n\n extra = happiness[i] - i\n if extra <= 0: return ans\n ans+= extra\n\n return ans\n```\n[https:/... | 13 | 0 | ['Python3'] | 5 |
maximize-happiness-of-selected-children | 🚀 Sort + Greedy || Explained Intuition 🚀 | sort-greedy-explained-intuition-by-moham-kuzt | Problem Description\n\nGiven an array happiness of length n representing the happiness values of n children standing in a queue, and a positive integer k, choos | MohamedMamdouh20 | NORMAL | 2024-05-09T02:28:33.287503+00:00 | 2024-05-09T03:26:19.959950+00:00 | 1,260 | false | # Problem Description\n\nGiven an array `happiness` of length `n` representing the happiness values of `n` children standing in a queue, and a positive integer `k`, choose `k` children from the queue in `k` turns. During each turn, selecting a child decreases the happiness value of all children not yet chosen by `1`. H... | 11 | 1 | ['Greedy', 'Sorting', 'Python', 'C++', 'Java', 'Python3'] | 6 |
maximize-happiness-of-selected-children | One line solution. Beats 90% | one-line-solution-beats-90-by-movsar-lhsh | python\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse=True)\n\n ans = 0\n | movsar | NORMAL | 2024-05-09T01:23:29.175175+00:00 | 2024-05-09T01:32:01.980134+00:00 | 492 | false | ```python\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse=True)\n\n ans = 0\n for i in range(k):\n ans += max(0, happiness[i] - i)\n\n return ans\n```\n\n```python\nclass Solution:\n def maximumHappinessSum(self... | 9 | 0 | ['Sorting', 'Python3'] | 1 |
maximize-happiness-of-selected-children | Truly Optimal O(N) Time: Quick Select + Counting Sort | truly-optimal-on-time-quick-select-count-pjy5 | Intuition\n### Observation 1: How to quantify happiness :)\nIf we have selected k children, their total happiness is \n\n$\sum_{i = 0}^{k-1} max(0, \text{select | aylup | NORMAL | 2024-06-22T21:41:26.132078+00:00 | 2024-08-18T19:24:20.416463+00:00 | 65 | false | # Intuition\n### Observation 1: How to quantify happiness :)\nIf we have selected k children, their total happiness is \n\n$\\sum_{i = 0}^{k-1} max(0, \\text{selectedChildren}[i]- i)$\n\nWith this formula, we see that we can just select topK children in sorted order and arrive at our solution.\n\n$ans = \\sum_{i = 0}^{... | 7 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | ✅✅Fastest 💯💯|| Simplest 🧠🧠 || Greedy | fastest-simplest-greedy-by-thecodealpha-2p2a | Thanks for dropping by\uD83D\uDC4B, I hope it helps :) \n\n# Intuition \uD83D\uDC31\u200D\uD83C\uDFCD\n Describe your first thoughts on how to solve this proble | TheCodeAlpha | NORMAL | 2024-05-09T08:59:53.572054+00:00 | 2024-05-09T09:08:31.185412+00:00 | 153 | false | ## Thanks for dropping by\uD83D\uDC4B, I hope it helps :) \n\n# Intuition \uD83D\uDC31\u200D\uD83C\uDFCD\n<!-- Describe your first thoughts on how to solve this problem. -->\n### Sochne\uD83E\uDDE0 ka hi khel hai saara, aur jab iss question\uD83E\uDD14 ko dekha aur socha toh samaj aaya ki isme aisa kuch aisa istemaal h... | 7 | 0 | ['Array', 'Greedy', 'Sorting', 'C++', 'Java', 'Python3'] | 1 |
maximize-happiness-of-selected-children | Simple and straight forward solution, just sort and it's over, beats 94% :) | simple-and-straight-forward-solution-jus-cn1k | Intuition\nJust think of selecting the maximum element from the happiness array, in each iteration of k, until k becomes 0.\n\n# Approach\nFirst, we sort this l | as828 | NORMAL | 2024-05-09T05:06:50.494207+00:00 | 2024-05-09T05:06:50.494237+00:00 | 118 | false | # Intuition\nJust think of selecting the maximum element from the happiness array, in each iteration of k, until k becomes 0.\n\n# Approach\nFirst, we sort this list from lowest to highest happiness. Then, we start from the happiest person and gradually subtract a counter from their happiness, moving towards less happy... | 7 | 0 | ['C++'] | 3 |
maximize-happiness-of-selected-children | Python | Easy | python-easy-by-khosiyat-a3gw | see the Successfully Accepted Submission\n\n# Code\n\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happines | Khosiyat | NORMAL | 2024-05-09T05:00:44.557275+00:00 | 2024-05-09T05:00:44.557312+00:00 | 226 | false | [see the Successfully Accepted Submission](https://leetcode.com/problems/maximize-happiness-of-selected-children/submissions/1253228363/?envType=daily-question&envId=2024-05-09)\n\n# Code\n```\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse=True)... | 7 | 1 | ['Python3'] | 2 |
maximize-happiness-of-selected-children | [Python3] Sort + Heap + Take Sum - Simple Solution | python3-sort-heap-take-sum-simple-soluti-8xe5 | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | dolong2110 | NORMAL | 2024-03-10T04:44:26.572029+00:00 | 2024-05-09T06:21:01.737418+00:00 | 268 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 7 | 0 | ['Sorting', 'Heap (Priority Queue)', 'Python3'] | 6 |
maximize-happiness-of-selected-children | 🔥Easy C++ Solution With Full Explaination || Beats 100 || Using Sorting | easy-c-solution-with-full-explaination-b-xxuk | \n\n### Intuition:\nThe problem involves selecting children from a queue to maximize the sum of their happiness values. Each time a child is selected, the happi | vanshwari | NORMAL | 2024-03-10T04:10:03.392457+00:00 | 2024-04-03T05:54:09.012961+00:00 | 922 | false | \n\n### Intuition:\nThe problem involves selecting children from a queue to maximize the sum of their happiness values. Each time a child is selected, the happiness of all unselected children decreases by 1... | 7 | 0 | ['Sorting', 'C++'] | 8 |
maximize-happiness-of-selected-children | C# Solution for Maximise Happiness of Selected Children Problem | c-solution-for-maximise-happiness-of-sel-8iia | Intuition\n Describe your first thoughts on how to solve this problem. \nThe solution aims to maximize the total sum of happiness values by selecting children i | Aman_Raj_Sinha | NORMAL | 2024-05-09T03:29:05.461621+00:00 | 2024-05-09T03:29:05.461659+00:00 | 251 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe solution aims to maximize the total sum of happiness values by selecting children in each round based on their happiness values. It iterates through the sorted array and selects the maximum happiness value that hasn\u2019t been fully ... | 6 | 0 | ['C#'] | 2 |
maximize-happiness-of-selected-children | Easy | Sorting | Just follow the steps of code | Generic Code | Beat 100% | Refer code | | easy-sorting-just-follow-the-steps-of-co-3zxw | \n\n# Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happ, int k) {\n\n sort(happ.begin() , happ.end());\n\n in | YASH_SHARMA_ | NORMAL | 2024-05-09T02:32:38.823572+00:00 | 2024-05-09T02:32:38.823601+00:00 | 476 | false | \n\n# Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happ, int k) {\n\n sort(happ.begin() , happ.end());\n\n int times = 0;\n\n int n = happ.size();\n int index = n-1;\n long long sum = 0;\n\n for(int i = 1 ; i <= k ; i++)\n {\n ... | 6 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | 🔥🔥Beats 99%✅Simple and Easy💯🔥Detailed Explanation🔥Sorting & Greedy🔥[Python, Java, C++ & JS] | beats-99simple-and-easydetailed-explanat-g3lj | \nSubmission link: Python, Java, C++ & JavaScript\n\n## \uD83C\uDFAF Problem Explanation:\nGiven an array happiness and a positive integer k, we need to select | Saketh3011 | NORMAL | 2024-05-09T00:35:51.858645+00:00 | 2024-05-09T01:38:53.589960+00:00 | 473 | false | \nSubmission link: [Python](https://leetcode.com/problems/maximize-happiness-of-selected-children/submissions/1253079848?envType=daily-question&envId=2024-05-09), [Java](https://leetcode.com/problems/maximi... | 6 | 0 | ['Greedy', 'Sorting', 'Python', 'C++', 'Java', 'Python3', 'JavaScript'] | 2 |
maximize-happiness-of-selected-children | Java | Greedy | 5 lines | Clean code | java-greedy-5-lines-clean-code-by-judgem-oz9c | Complexity\n- Time complexity: O(n * log(n))\n Add your time complexity here, e.g. O(n) \n\n- Space complexity: O(log(n)) used by the sorting algorithm\n Add yo | judgementdey | NORMAL | 2024-05-09T00:22:18.839557+00:00 | 2024-05-09T00:24:07.066631+00:00 | 591 | false | # Complexity\n- Time complexity: $$O(n * log(n))$$\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity: $$O(log(n))$$ used by the sorting algorithm\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```\nclass Solution {\n public long maximumHappinessSum(int[] happiness, int k)... | 6 | 1 | ['Array', 'Greedy', 'Sorting', 'Java'] | 3 |
maximize-happiness-of-selected-children | Sort and take sum | sort-and-take-sum-by-kreakemp-2h2o | \n\n# Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happiness, int k) {\n long long ans = 0;\n sort(happiness. | kreakEmp | NORMAL | 2024-03-10T04:11:52.350877+00:00 | 2024-03-10T04:19:48.308899+00:00 | 1,517 | false | \n\n# Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happiness, int k) {\n long long ans = 0;\n sort(happiness.begin(), happiness.end());\n for(int i = happiness.size() - 1, j = 0; i >= 0 && k > 0; --i, j++, k--){\n if(happiness[i] - j > 0) ans += ha... | 6 | 0 | ['C++'] | 7 |
maximize-happiness-of-selected-children | 2 Easy Intuitive Solutions ✅ | 2-easy-intuitive-solutions-by-gurmankd-428g | \n\n---\n# USING SORTING \u25FD\uFE0F\u25AB\uFE0F\u25AA\n\n---\n\n\n## Intuition\n Describe your first thoughts on how to solve this problem. \nSince we aim to | gurmankd | NORMAL | 2024-05-09T05:39:29.481765+00:00 | 2024-05-09T05:39:29.481786+00:00 | 8 | false | \n\n---\n# USING SORTING \u25FD\uFE0F\u25AB\uFE0F\u25AA\n\n---\n\n\n## Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nSince we aim to maximize the happiness sum, it\'s intuitive to start by selecting children with higher happiness values. Sorting the array in decreasing order of happine... | 5 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | 💯JAVA Solution Explained in HINDI | java-solution-explained-in-hindi-by-the_-ldbu | https://youtu.be/Nsl32H-VYLM\n\nFor explanation, please watch the above video and do like, share and subscribe the channel. \u2764\uFE0F Also, please do upvote | The_elite | NORMAL | 2024-05-09T05:23:16.436248+00:00 | 2024-05-09T05:23:16.436290+00:00 | 139 | false | https://youtu.be/Nsl32H-VYLM\n\nFor explanation, please watch the above video and do like, share and subscribe the channel. \u2764\uFE0F Also, please do upvote the solution if you liked it.\n\n# Subscribe :- [ReelCoding](https://www.youtube.com/@reelcoding?sub_confirmation=1)\n\nSubscribe Goal:- 400\nCurrent Subscriber... | 5 | 0 | ['Java'] | 0 |
maximize-happiness-of-selected-children | heap sort||basic c++code | heap-sortbasic-ccode-by-sujalgupta09-or74 | \n\n# Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(std::vector<int>& happiness, int k) {\n std::sort(happiness.begin(), happine | sujalgupta09 | NORMAL | 2024-05-09T02:29:36.795184+00:00 | 2024-05-09T02:29:36.795211+00:00 | 453 | false | \n\n# Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(std::vector<int>& happiness, int k) {\n std::sort(happiness.begin(), happiness.end(), std::greater<int>());\n\n std::vector<bool> selected(happiness.size(), false);\n\n long long ans = 0;\n int count = 0;\n\n ... | 5 | 0 | ['C++'] | 1 |
maximize-happiness-of-selected-children | Detailed Explanation😴|| Priority Queue + Greedy + Sort || O(n.logn) + O(k.logn)🔥 | detailed-explanation-priority-queue-gree-w0bb | Intuition (Approch: MaxHeap + Greedy)\nGiven our problem\'s requirement to maximize total happiness by selecting the largest element available at each turn, the | rohit_gupta1819 | NORMAL | 2024-05-09T02:03:15.139085+00:00 | 2024-05-09T02:03:15.139107+00:00 | 392 | false | # Intuition (Approch: MaxHeap + Greedy)\nGiven our problem\'s requirement to maximize total happiness by selecting the largest element available at each turn, the selection of an appropriate data structure holds significant importance. The max heap data structure proves to be exceptionally suitable for this scenario. B... | 5 | 0 | ['Array', 'Greedy', 'Sorting', 'Heap (Priority Queue)', 'Java'] | 4 |
maximize-happiness-of-selected-children | [Rust] Small optimization: quickselect the top k rather than sorting all | rust-small-optimization-quickselect-the-4my7n | Intuition\nIf there were no penalty, we would select the k happiest children to maximize the score.\n\nWith the penalty...we still pick the k happiest children, | tiedyedvortex | NORMAL | 2024-05-09T00:37:11.956662+00:00 | 2024-05-09T00:37:11.956688+00:00 | 63 | false | # Intuition\nIf there were no penalty, we would select the k happiest children to maximize the score.\n\nWith the penalty...we still pick the k happiest children, because the penalty doesn\'t change based on which children we select.\n\n# Approach\nInstead of sorting all of happiness, we can sort the top k happiest chi... | 5 | 0 | ['Rust'] | 1 |
maximize-happiness-of-selected-children | [Python3] 2 line solution || sort + greedy || 822ms / 43.50mb || beats 100% | python3-2-line-solution-sort-greedy-822m-6t4n | python3 []\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse = True)\n return sum | yourick | NORMAL | 2024-03-10T09:01:29.472734+00:00 | 2024-03-10T12:05:52.380178+00:00 | 174 | false | ```python3 []\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse = True)\n return sum(max(h-i, 0) for i, h in enumerate(happiness[:k]))\n```\n\n##### For me this problem is similar to [274. H-Index](https://leetcode.com/problems/h-index/descr... | 5 | 0 | ['Sorting', 'Python', 'Python3'] | 1 |
maximize-happiness-of-selected-children | Priority_queue max heap vs min heap | priority_queue-max-heap-vs-min-heap-by-a-jp9c | Intuition\n Describe your first thoughts on how to solve this problem. \nUse a max heap(priority_queue) to solve.\n 2nd approach uses a min heap.\n# Approach\n | anwendeng | NORMAL | 2024-03-10T04:54:41.708259+00:00 | 2024-05-09T01:49:22.067873+00:00 | 324 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nUse a max heap(priority_queue) to solve.\n 2nd approach uses a min heap.\n# Approach\n<!-- Describe your approach to solving the problem. -->\nFind the k largest elements using a max heap\n# Complexity\n- Time complexity:\n<!-- Add your t... | 5 | 0 | ['Heap (Priority Queue)', 'C++'] | 1 |
maximize-happiness-of-selected-children | Beats 100% | Java, C++, Python, Javascript| Less Code ✅✅ | beats-100-java-c-python-javascript-less-3opkd | Please Upvote \u2705\u2705\nans: A long variable initialized to 0 to store the maximum happiness sum.\nmin: An integer variable initialized to 0 to keep track o | Ikapoor123 | NORMAL | 2024-03-10T04:14:14.549619+00:00 | 2024-03-10T04:49:22.068217+00:00 | 604 | false | # Please Upvote \u2705\u2705\nans: A long variable initialized to 0 to store the maximum happiness sum.\nmin: An integer variable initialized to 0 to keep track of the minimum happiness given so far.\n\n- The happiness array is sorted in descending order using Arrays.sort(happiness). This ensures that people with highe... | 5 | 1 | ['Array', 'C', 'Sorting', 'C++', 'Java', 'Go', 'Python3', 'Kotlin', 'JavaScript', 'C#'] | 2 |
maximize-happiness-of-selected-children | 100% | 100-by-sarvajnya_18-gej7 | Complexity\n- Time complexity: O(nlogn)\n Add your time complexity here, e.g. O(n) \n\n- Space complexity: O(1)\n Add your space complexity here, e.g. O(n) \n\n | sarvajnya_18 | NORMAL | 2024-03-10T04:04:45.055060+00:00 | 2024-08-02T13:15:01.782605+00:00 | 467 | false | # Complexity\n- Time complexity: O(nlogn)\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity: O(1)\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse=Tr... | 5 | 0 | ['Math', 'Sorting', 'Python3'] | 4 |
maximize-happiness-of-selected-children | Solution | solution-by-yash1hingu-ijzc | Intuition\nThe problem is asking to maximize the sum of happiness by choosing k elements from the given array. The happiness of an athlete decreases by 1 for ea | yash1hingu | NORMAL | 2024-05-09T16:52:40.266067+00:00 | 2024-05-09T16:52:40.266102+00:00 | 43 | false | # Intuition\nThe problem is asking to maximize the sum of happiness by choosing `k` elements from the given array. The happiness of an athlete decreases by 1 for each athlete that has a higher score. So, we need to choose the `k` largest elements from the array to maximize the sum.\n\n# Approach\n- We first sort the ar... | 4 | 0 | ['Java'] | 0 |
maximize-happiness-of-selected-children | Greedy Approach with explanation | greedy-approach-with-explanation-by-anup-i6sh | Intuition\n- We can greedily pick child with maximum happiness\n- After n pass happiness of childrens decreases by n so if we are picking children at xth time h | anupsingh556 | NORMAL | 2024-05-09T05:15:53.819793+00:00 | 2024-05-09T05:15:53.819820+00:00 | 436 | false | # Intuition\n- We can greedily pick child with maximum happiness\n- After `n` pass happiness of childrens decreases by `n` so if we are picking children at xth time his net happiness will be $$h[x]-x$$\n- We can sort the array and can pick all children who will have positive net happiness \n<!-- Describe your first tho... | 4 | 0 | ['Greedy', 'Python', 'C++', 'Go'] | 2 |
maximize-happiness-of-selected-children | Beats 100% || 79ms || Explained Approach || C++ || Java || Python | beats-100-79ms-explained-approach-c-java-eovv | Intuition\n Describe your first thoughts on how to solve this problem. \nWe need to select k children with the maximum happiness value. Therefore, sorting the h | AKJ5196 | NORMAL | 2024-04-09T05:58:40.902316+00:00 | 2024-04-09T05:58:40.902349+00:00 | 10 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nWe need to select k children with the maximum happiness value. Therefore, sorting the happiness vector in non-increasing order seems like a reasonable approach.\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n1. So... | 4 | 0 | ['Array', 'Greedy', 'Sorting', 'C++', 'Java', 'Python3'] | 0 |
maximize-happiness-of-selected-children | Simple approach in JS - beat 100% | simple-approach-in-js-beat-100-by-dhnbro-bx3r | Approach\n Describe your approach to solving the problem. \n- Sorting array in non-ascending order.\n- Iterating through the Sorted Array\n- Calculating the Max | dhnbroken | NORMAL | 2024-03-11T08:04:46.025843+00:00 | 2024-03-11T08:04:46.025875+00:00 | 94 | false | # Approach\n<!-- Describe your approach to solving the problem. -->\n- Sorting array in non-ascending order.\n- Iterating through the Sorted Array\n- Calculating the Maximum Happiness Sum, The contribution is calculated by subtracting the index of the child from its happiness value.\n- Handling Non-positive Happiness V... | 4 | 0 | ['JavaScript'] | 0 |
maximize-happiness-of-selected-children | 🔥Today's Contest Sol | ✅️Beats 100% ✅️| Easy C++ | Full Explanation🔥 | todays-contest-sol-beats-100-easy-c-full-0hau | Intuition\n\n Describe your first thoughts on how to solve this problem. \nWe prioritize selecting children with higher happiness values initially to maximize t | vipulbhardwaj279 | NORMAL | 2024-03-10T04:34:56.957268+00:00 | 2024-03-10T04:47:45.205822+00:00 | 279 | false | # Intuition\n\n<!-- Describe your first thoughts on how to solve this problem. -->\nWe prioritize selecting children with higher happiness values initially to maximize the sum of happiness. Then... | 4 | 0 | ['C++'] | 5 |
maximize-happiness-of-selected-children | Beats 100% 💯 || 0ms ✅ || 3 line solution 🔥 || Shortest and Very Easy to understand for beginners | beats-100-0ms-3-line-solution-shortest-a-udzx | Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& h, int k) {\n sort(h.begin(), h.end(), greater<int>());\n long l | soukarja | NORMAL | 2024-03-10T04:13:36.690992+00:00 | 2024-03-10T04:13:36.691026+00:00 | 92 | false | # Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& h, int k) {\n sort(h.begin(), h.end(), greater<int>());\n long long tot = 0, c = 0;\n while (k--) if (h[c] - c > 0) tot += h[c] - c; c++;\n return tot;\n }\n};\n```\n![66dabafc-1e25-4e05-b54d-4157c3ebe2... | 4 | 0 | ['C', 'Python', 'C++', 'Java', 'Python3', 'C#'] | 1 |
maximize-happiness-of-selected-children | Sorting + Greedy solution | sorting-greedy-solution-by-drgavrikov-3ivb | Approach\n Describe your approach to solving the problem. \nTo achieve the maximum sum from $K$ elements of the array, we sort it in descending order and select | drgavrikov | NORMAL | 2024-05-09T19:29:08.040551+00:00 | 2024-06-02T07:51:43.724628+00:00 | 9 | false | # Approach\n<!-- Describe your approach to solving the problem. -->\nTo achieve the maximum sum from $K$ elements of the array, we sort it in descending order and select the first $K$ members.\n\nWe subtract the value of the step from the value at that position in the array at each step. If the current value becomes le... | 3 | 0 | ['Sorting', 'C++'] | 0 |
maximize-happiness-of-selected-children | Simple Sorting || Implementation | simple-sorting-implementation-by-ashish_-cqof | Maximize-Happiness-Of-Selected-Children\n\n# Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& h, int k) {\n long long an | Ashish_Ujjwal | NORMAL | 2024-05-09T12:12:41.925682+00:00 | 2024-05-09T12:12:41.925711+00:00 | 5 | false | # Maximize-Happiness-Of-Selected-Children\n\n# Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& h, int k) {\n long long ans = 0;\n sort(h.rbegin(), h.rend());\n int i = 0, m = 0;\n while(k--){\n if(h[i] - m < 0) break;\n else ans += h... | 3 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Beats 99.97% Time⌛🔥 99.10% Space💾🔥| Python, C++ 💻 | Clear Explanation📗 | beats-9997-time-9910-space-python-c-clea-2vr6 | Beats 99.97% Time\u231B\uD83D\uDD25 99.10% Space\uD83D\uDCBE\uD83D\uDD25| Python, C++ \uD83D\uDCBB | Clear Explanation\uD83D\uDCD7\n\n## 1. Proof\n\n### 1.1. Py | kcp_1410 | NORMAL | 2024-05-09T10:55:40.990768+00:00 | 2024-05-09T10:55:40.990802+00:00 | 18 | false | # Beats 99.97% Time\u231B\uD83D\uDD25 99.10% Space\uD83D\uDCBE\uD83D\uDD25| Python, C++ \uD83D\uDCBB | Clear Explanation\uD83D\uDCD7\n\n## 1. Proof\n\n### 1.1. Python3\n\n\n### 1.2. C++\n\n\n# Code #1\nTime complexity: O(nlog(k)). Space co | MikPosp | NORMAL | 2024-05-09T10:17:03.199299+00:00 | 2024-05-09T10:19:56.937575+00:00 | 349 | false | (Disclaimer: this is not an example to follow in a real project - it is written for fun and training mostly)\n\n# Code #1\nTime complexity: $$O(n*log(k))$$. Space complexity: $$O(k)$$.\n```\nclass Solution:\n def maximumHappinessSum(self, a: List[int], k: int) -> int:\n return sum(max(0,v-i) for i,v in enumer... | 3 | 0 | ['Array', 'Greedy', 'Sorting', 'Heap (Priority Queue)', 'Python', 'Python3'] | 1 |
maximize-happiness-of-selected-children | ✅Easy✨||C++|| Beats 100% || With Explanation || | easyc-beats-100-with-explanation-by-olak-ek26 | Intuition\n Describe your first thoughts on how to solve this problem. \nThe problem involves selecting children from a queue to maximize the sum of their happi | olakade33 | NORMAL | 2024-05-09T08:11:27.480605+00:00 | 2024-05-09T08:11:27.480636+00:00 | 92 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe problem involves selecting children from a queue to maximize the sum of their happiness values. Each time a child is selected, the happiness of all unselected children decreases by 1.\n# Approach\n<!-- Describe your approach to solvin... | 3 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | 👏😻🙈Beats 97.44% of users with Java🎉||✅ one line (for loop) code || 💯🔥💥 | beats-9744-of-users-with-java-one-line-f-mb0d | SCREENSHORT\n\n\n# Intuition\nWe need max happiness and after selecting one dec all by one ... Hence select the one and sec by dec 1 and so one. \n\n>It\'s too | Prakhar-002 | NORMAL | 2024-05-09T05:51:40.478312+00:00 | 2024-05-09T05:51:40.478342+00:00 | 43 | false | # SCREENSHORT\n\n\n# Intuition\nWe need max happiness and after selecting one dec all by one ... Hence select the one and sec by dec 1 and so one. \n\n>It\'s too easy just follow the steps.\n---\n\n\n# Appro... | 3 | 0 | ['Greedy', 'Sorting', 'Java'] | 1 |
maximize-happiness-of-selected-children | ✅✅97.44% with Java🔥Beginner Friendly🔥Simple Logic🔥Easy Explanation🔥 | 9744-with-javabeginner-friendlysimple-lo-dib1 | \n\n# Intuition\n Describe your first thoughts on how to solve this problem. \nWe have to maximize the happiness of selected children. From the name itself, we | Pratik-Shrivastava | NORMAL | 2024-05-09T05:47:15.847257+00:00 | 2024-05-09T05:47:15.847282+00:00 | 74 | false | \n\n# Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nWe have to `maximize` the happiness of selected children. From the name itself, we can conclude that it is a `Greedy Pr... | 3 | 0 | ['Greedy', 'Java'] | 2 |
maximize-happiness-of-selected-children | 💯✅🔥Easy Java Solution|| 34 ms ||≧◠‿◠≦✌ | easy-java-solution-34-ms-_-by-suyalneera-auyr | Intuition\n Describe your first thoughts on how to solve this problem. \nThe approach taken in the code aims to maximize the total happiness sum by iteratively | suyalneeraj09 | NORMAL | 2024-05-09T00:33:56.123518+00:00 | 2024-05-09T00:33:56.123565+00:00 | 81 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe approach taken in the code aims to maximize the total happiness sum by iteratively reducing the happiness values of the highest elements in the sorted array. By subtracting a decreasing amount from each element, the code attempts to d... | 3 | 0 | ['Array', 'Greedy', 'Java'] | 1 |
maximize-happiness-of-selected-children | Easy Solution | beats 100 % | Explanation | easy-solution-beats-100-explanation-by-k-zbk6 | Approach\n Describe your approach to solving the problem. \nGreedy\n# Complexity\n- Time complexity:O(n) n = len(happiness) + n log n\n Add your time complexity | kmuhammadjon | NORMAL | 2024-04-22T11:25:32.852181+00:00 | 2024-04-22T11:25:32.852210+00:00 | 55 | false | # Approach\n<!-- Describe your approach to solving the problem. -->\nGreedy\n# Complexity\n- Time complexity:O(n) n = len(happiness) + n log n\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:O(1)\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```\nfunc maximumHappinessSu... | 3 | 0 | ['Array', 'Greedy', 'Sorting', 'Go'] | 1 |
maximize-happiness-of-selected-children | Easy java Solution | easy-java-solution-by-1asthakhushi1-bfun | \n\n# Code\n\nclass Solution {\n public long maximumHappinessSum(int[] hap, int k) {\n Arrays.sort(hap);\n long ans=hap[hap.length-1];\n | 1asthakhushi1 | NORMAL | 2024-03-10T04:04:33.794368+00:00 | 2024-03-10T04:10:51.958684+00:00 | 523 | false | \n\n# Code\n```\nclass Solution {\n public long maximumHappinessSum(int[] hap, int k) {\n Arrays.sort(hap);\n long ans=hap[hap.length-1];\n k--;\n int count=1;\n for(int i=hap.length-2;i>=0;i--){\n if(k>0){\n if(hap[i]-count<=0){\n ans+=... | 3 | 0 | ['Array', 'Sorting', 'Java'] | 3 |
maximize-happiness-of-selected-children | C++ 100% faster| Priority Queue | Easy Step By Step Explanation | c-100-faster-priority-queue-easy-step-by-aybo | Intuition\n - The key challenge in maximizing the total happiness of selected children lies in strategically choosing children to minimize the overall "happin | VYOM_GOYAL | NORMAL | 2024-03-10T04:02:31.954709+00:00 | 2024-03-10T04:18:06.723111+00:00 | 322 | false | # Intuition\n - The key challenge in maximizing the total happiness of selected children lies in strategically choosing children to minimize the overall "happiness loss" caused by their selection. Since happiness values decrease after each pick, selecting children with the highest initial happiness first minimizes th... | 3 | 0 | ['Array', 'Heap (Priority Queue)', 'C++'] | 3 |
maximize-happiness-of-selected-children | maximize-happiness-of-selected-children 🚀Hard to catch 💯Medium Solution🫡cpp | maximize-happiness-of-selected-children-nppvf | \n\n\n# Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& h, int k) {\n sort(h.begin(),h.end());\n long long int s | Saiyam_Dubey_ | NORMAL | 2024-05-11T09:28:16.997801+00:00 | 2024-05-11T09:28:16.997831+00:00 | 2 | false | \n\n\n# Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& h, int k) {\n sort(h.begin(),h.end());\n long long int sum... | 2 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Happiest solution || Beginner | happiest-solution-beginner-by-pratik_she-p7nj | Intuition\nThe problem seems to involve finding the maximum sum of happiness among a given set of people, where each person\'s happiness is represented by an el | Pratik_Shelke | NORMAL | 2024-05-09T13:39:32.320036+00:00 | 2024-05-09T13:39:32.320064+00:00 | 0 | false | # Intuition\nThe problem seems to involve finding the maximum sum of happiness among a given set of people, where each person\'s happiness is represented by an element in the array. We need to select a subset of size k from the array such that the total happiness sum is maximized.\n\n# Approach\nOne possible approach i... | 2 | 0 | ['Array', 'Greedy', 'Java'] | 2 |
maximize-happiness-of-selected-children | Just cant understand why this question is marked medium | just-cant-understand-why-this-question-i-kjm0 | \n\n# Complexity\n- Time complexity:O(nlogn)\n Add your time complexity here, e.g. O(n) \n\n- Space complexity:O(1)\n Add your space complexity here, e.g. O(n) | TechTinkerer | NORMAL | 2024-05-09T10:58:50.070951+00:00 | 2024-05-09T10:58:50.070979+00:00 | 8 | false | \n\n# Complexity\n- Time complexity:O(nlogn)\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:O(1)\n<!-- Add your space complexity here, e.g. $$O(n)$$ -->\n\n# Code\n```\n#define ll long long \nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happiness, int k) {\n ... | 2 | 0 | ['Sorting', 'Heap (Priority Queue)', 'C++'] | 0 |
maximize-happiness-of-selected-children | [C++] 2 lines with std::partial_sort and std::accumulate | c-2-lines-with-stdpartial_sort-and-stdac-7j33 | Intuition\nsort the k largest elements in decreasing order, then sum the values minus n with n starting at 0 and being incremented at each iteration of the sum. | user2670f | NORMAL | 2024-05-09T10:29:19.787337+00:00 | 2024-05-09T10:30:02.016057+00:00 | 37 | false | # Intuition\nsort the k largest elements in decreasing order, then sum the values minus `n` with `n` starting at `0` and being incremented at each iteration of the sum.\n\n# Approach\nUse STL. Note that in order to save a line, I declared the variable `n` in the capture clause of the lambda, which requires the lambda t... | 2 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | ✅Easiest Solution🔥||Beat 97.44%🔥||Beginner Friendly✅🔥 | easiest-solutionbeat-9744beginner-friend-pux1 | Intuition\nSorting: The code begins by sorting the array happiness in ascending order using Arrays.sort(happiness);. This step ensures that the array is in asce | siddhesh11p | NORMAL | 2024-05-09T10:08:10.025426+00:00 | 2024-05-09T10:08:44.083304+00:00 | 13 | false | # Intuition\nSorting: The code begins by sorting the array happiness in ascending order using Arrays.sort(happiness);. This step ensures that the array is in ascending order, making it easier to calculate the maximum happiness sum later.\n\nCalculating Maximum Happiness Sum:\nThe algorithm initializes max to 0 to keep ... | 2 | 0 | ['Array', 'Greedy', 'Sorting', 'Java'] | 1 |
maximize-happiness-of-selected-children | BEATS 100% SIMPLE DART solution with EXPLANATION | beats-100-simple-dart-solution-with-expl-2d0u | Intuition\n Describe your first thoughts on how to solve this problem. \nThe problem requires us to select k children from a queue such that the sum of their ha | Mohamed_Sadeck | NORMAL | 2024-05-09T10:06:46.834153+00:00 | 2024-05-09T10:06:46.834186+00:00 | 16 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe problem requires us to select k children from a queue such that the sum of their happiness values is maximized. Each time a child is selected, the happiness value of all the unselected children decreases by 1. To maximize the sum of h... | 2 | 0 | ['Array', 'Greedy', 'Sorting', 'Dart'] | 0 |
maximize-happiness-of-selected-children | Simple Java Greedy solution beats 97% | O(nlogn) time and O(n) Space | simple-java-greedy-solution-beats-97-onl-vlpe | Intuition\nA pretty standard Greedy problem. Just be greedy for the child with the maximum leftover happiness from among the not selected ones.\n\n# Approach\n1 | ayushprakash1912 | NORMAL | 2024-05-09T09:59:10.166438+00:00 | 2024-05-09T09:59:10.166475+00:00 | 20 | false | # Intuition\nA pretty standard Greedy problem. Just be greedy for the child with the maximum leftover happiness from among the not selected ones.\n\n# Approach\n1. Sort the array.\n2. Iterate the array in descending order and the happiness value from the top k values while subtracting the number of elements already sel... | 2 | 0 | ['Greedy', 'Sorting', 'Java'] | 0 |
maximize-happiness-of-selected-children | easy to understand || Beginer friendly || Fastest (100%) || Short & Concise | easy-to-understand-beginer-friendly-fast-ht25 | Intuition\nThe intuition behind the provided code seems to be finding the maximum possible sum of happiness that can be achieved by selecting a certain number o | utkarsh_the_co | NORMAL | 2024-05-09T09:58:19.029165+00:00 | 2024-05-09T09:58:19.029195+00:00 | 18 | false | # Intuition\nThe intuition behind the provided code seems to be finding the maximum possible sum of happiness that can be achieved by selecting a certain number of participants under given constraints.\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n1)Sorting the happiness vector: The function s... | 2 | 0 | ['Array', 'Sorting', 'C++'] | 0 |
maximize-happiness-of-selected-children | Very easy and short | very-easy-and-short-by-buts-bqqx | \n\n# Intuition Behind the Approach:\n\nBy prioritizing children with the highest initial happiness, the algorithm ensures you capture the maximum benefit early | buts | NORMAL | 2024-05-09T09:15:09.985057+00:00 | 2024-05-09T09:15:09.985088+00:00 | 38 | false | \n\n# Intuition Behind the Approach:\n\nBy prioritizing children with the highest initial happiness, the algorithm ensures you capture the maximum benefit early on. The -i adjustment compensates for the happiness decrease of unselected children, reflecting the dynamic nature of happiness values throughout the selection... | 2 | 0 | ['Sorting', 'Go'] | 0 |
maximize-happiness-of-selected-children | FAST 100% | MEMORY EFFICIENT | GREEDY - BEGINNERS | fast-100-memory-efficient-greedy-beginne-wpkk | Intuition\n\nThe goal is to optimize the overall happiness score by picking children with the greatest happiness levels. A sensible tactic is to give preference | ovchi | NORMAL | 2024-05-09T06:55:03.735052+00:00 | 2024-05-09T11:11:20.690262+00:00 | 30 | false | # Intuition\n\nThe goal is to optimize the overall happiness score by picking children with the greatest happiness levels. A sensible tactic is to give preference to those children with the highest happiness ratings initially, given that the happiness of those not chosen diminishes over time.\n\nBy prioritizing childre... | 2 | 0 | ['Greedy', 'Sorting', 'C++', 'Java'] | 0 |
maximize-happiness-of-selected-children | Greedy Selection | C++ | Java | greedy-selection-c-java-by-lazy_potato-zkoz | Intuition, approach, and complexity disucussed in video solution in detail.\nhttps://youtu.be/0VlhZFs0WLE\n# Code\nC++\n\nclass Solution {\npublic:\n long lo | Lazy_Potato_ | NORMAL | 2024-05-09T06:34:34.939586+00:00 | 2024-05-09T06:34:34.939618+00:00 | 66 | false | # Intuition, approach, and complexity disucussed in video solution in detail.\nhttps://youtu.be/0VlhZFs0WLE\n# Code\nC++\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happiness, int k) {\n sort(happiness.begin(), happiness.end());\n long long dec = 0, hapSum = 0, indx = h... | 2 | 0 | ['Array', 'Greedy', 'Sorting', 'C++', 'Java'] | 1 |
maximize-happiness-of-selected-children | 🔥maxHeap - Beginner Friendly Code | Clean Code | C++ | | maxheap-beginner-friendly-code-clean-cod-v8ab | Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happiness, int k) {\n priority_queue<int, vector<int>> maxHeap;\n | Antim_Sankalp | NORMAL | 2024-05-09T06:32:22.800550+00:00 | 2024-05-09T06:32:22.800603+00:00 | 17 | false | # Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happiness, int k) {\n priority_queue<int, vector<int>> maxHeap;\n for (auto x: happiness)\n {\n maxHeap.push(x);\n }\n\n long long decr = 0;\n long long res = 0;\n while (!m... | 2 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Simple C++ Solution using MaxHeap | No BS | simple-c-solution-using-maxheap-no-bs-by-ahrk | Intuition\n##### To maximize the sum of happiness, it\'s intuitive to select the k highest values from the given array of happiness. \n\n# Approach\nThe approac | quagmire8 | NORMAL | 2024-05-09T05:16:16.000199+00:00 | 2024-05-09T05:16:16.000223+00:00 | 4 | false | # Intuition\n##### To maximize the sum of happiness, it\'s intuitive to select the k highest values from the given array of happiness. \n\n# Approach\nThe approach is to use a max heap (priority queue) to efficiently find the k maximum values from the array. First, we push all the elements of the array into the max hea... | 2 | 0 | ['Array', 'Greedy', 'Heap (Priority Queue)', 'C++'] | 0 |
maximize-happiness-of-selected-children | O(n) ✔|| EASY APPROACH ✔|| PLEASE UPVOTE😊|| | on-easy-approach-please-upvote-by-kaal_e-hngg | \n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \nHere\'s an explanation of the al | KAAL_El | NORMAL | 2024-05-09T04:20:32.986908+00:00 | 2024-05-09T04:20:32.986927+00:00 | 63 | false | \n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\nHere\'s an explanation of the algorithm\'s intuition:\n\n1. **Sort the happiness values**: The algorithm begins by sorting the given happiness values in non-increasing order. Thi... | 2 | 0 | ['C++'] | 1 |
maximize-happiness-of-selected-children | 🏆💢💯 Faster✅💯 Lesser🧠 🎯 C++✅Python3🐍✅Java✅C✅Python🐍✅💥🔥💫Explained☠💥🔥 Beats 💯 | faster-lesser-cpython3javacpythonexplain-csyv | Intuition\n\n\n\n\n\nC++ []\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& happiness, int k) {\n long long cnt = 0;\n | Edwards310 | NORMAL | 2024-05-09T04:06:54.892050+00:00 | 2024-05-09T04:06:54.892088+00:00 | 53 | false | # Intuition\n\n\n Fast solution | ok-fast-solution-by-ishaanagrawal-rpnf | \n\n# Approach\n Describe your approach to solving the problem. \nSort the array in descending order. After every pick from the array, all values in the array r | ishaanagrawal | NORMAL | 2024-05-09T04:02:44.144731+00:00 | 2024-05-09T04:02:44.144763+00:00 | 9 | false | \n\n# Approach\n<!-- Describe your approach to solving the problem. -->\nSort the array in descending order. After every pick from the array, all values in the array reduce by 1. So after n picks, total decr... | 2 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Very Simple Code | very-simple-code-by-abulabura-u346 | # Intuition \n\n\n\n\n\n# Complexity\n- Time complexity:O(n \cdot \log n)\n\n\n- Space complexity:O(\log n)\n(the worse-case of the sort() function in c++ is | abulabura | NORMAL | 2024-05-09T04:01:12.484844+00:00 | 2024-05-09T04:01:12.484880+00:00 | 46 | false | <!-- # Intuition -->\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n<!-- # Approach -->\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:$$O(n \\cdot \\log n)$$\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:$$O(\\log n)$$... | 2 | 0 | ['Greedy', 'Sorting', 'C++'] | 1 |
maximize-happiness-of-selected-children | Easy Cpp Solution | easy-cpp-solution-by-pratham_2521-a8ju | \n# Code\n\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& arr, int k) {\n long long sum= 0 , diff=0 ; \n sort(arr.begi | Pratham_2521 | NORMAL | 2024-05-09T03:54:15.000389+00:00 | 2024-05-09T03:54:15.000419+00:00 | 52 | false | \n# Code\n```\nclass Solution {\npublic:\n long long maximumHappinessSum(vector<int>& arr, int k) {\n long long sum= 0 , diff=0 ; \n sort(arr.begin() , arr.end(),greater<int>());\n int n = arr.size();\n for(int i=0 ; i<k ; i++)\n {\n if(arr[i] > diff)\n {\n ... | 2 | 0 | ['C++'] | 1 |
maximize-happiness-of-selected-children | ✅✔️Easy Peasy Solution ✈️✈️✈️ | easy-peasy-solution-by-ajay_1134-m91i | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | ajay_1134 | NORMAL | 2024-05-09T03:40:34.154421+00:00 | 2024-05-09T03:40:34.154439+00:00 | 24 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 2 | 0 | ['Array', 'Greedy', 'Sorting', 'C++'] | 0 |
maximize-happiness-of-selected-children | 2 solutions Heap && sorting || Easy Intuitive C++ Solution 💯 | 2-solutions-heap-sorting-easy-intuitive-nh92h | Intuition\n\nThe problem seems to revolve around maximizing the happiness sum under certain constraints. By observing the provided code, it seems like the algor | _Rishabh_96 | NORMAL | 2024-05-09T02:42:55.403083+00:00 | 2024-05-09T02:42:55.403113+00:00 | 37 | false | # Intuition\n\nThe problem seems to revolve around maximizing the happiness sum under certain constraints. By observing the provided code, it seems like the algorithm is prioritizing higher values of happiness to maximize the sum.\n\n# Approach\n\n1. **Priority Queue**: The algorithm utilizes a priority queue to effici... | 2 | 0 | ['Sorting', 'Heap (Priority Queue)', 'C++'] | 1 |
maximize-happiness-of-selected-children | Kotlin - Greedy only 6 lines. Simple and Short | kotlin-greedy-only-6-lines-simple-and-sh-p9hr | Code\n\nclass Solution {\n fun maximumHappinessSum(happiness: IntArray, k: Int): Long {\n happiness.sortDescending()\n var result = 0L\n | namanh11611 | NORMAL | 2024-05-09T02:42:55.380948+00:00 | 2024-05-09T02:42:55.380983+00:00 | 42 | false | # Code\n```\nclass Solution {\n fun maximumHappinessSum(happiness: IntArray, k: Int): Long {\n happiness.sortDescending()\n var result = 0L\n for (i in 0 until k) {\n if (happiness[i] > i) result += happiness[i] - i\n }\n return result\n }\n}\n``` | 2 | 0 | ['Kotlin'] | 0 |
maximize-happiness-of-selected-children | Easy C++ Sorting Solution | Beats 100 ✅💯 | easy-c-sorting-solution-beats-100-by-sho-nlpv | Intuition\n Describe your first thoughts on how to solve this problem. \nThe problem involves selecting elements from the array to maximize the sum of happiness | shobhitkushwaha1406 | NORMAL | 2024-05-09T02:34:01.299074+00:00 | 2024-05-09T02:34:01.299105+00:00 | 40 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe problem involves selecting elements from the array to maximize the sum of happiness while adhering to the constraint of selecting at most k elements. To maximize the sum, it\'s intuitive to start by selecting the elements with the hig... | 2 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Easy Java Solution | Detailed Approach | easy-java-solution-detailed-approach-by-850n9 | Intuition\n Describe your first thoughts on how to solve this problem. \nThe problem involves maximizing the sum of happiness by selecting elements from an arra | Rudra_Rajawat | NORMAL | 2024-05-09T02:28:40.829834+00:00 | 2024-05-09T02:28:40.829869+00:00 | 3 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe problem involves maximizing the sum of happiness by selecting elements from an array within a limited selection constraint. One intuitive approach could be to sort the array and then greedily select the top \'k\' elements that contrib... | 2 | 0 | ['Array', 'Greedy', 'Sorting', 'Java'] | 0 |
maximize-happiness-of-selected-children | [C++] Greedy with Simulation | c-greedy-with-simulation-by-awesome-bug-cuzr | Intuition\n Describe your first thoughts on how to solve this problem. \n- Greedy\n - Select the k largest values in happiness\n- Simulation\n - Simulate the | pepe-the-frog | NORMAL | 2024-05-09T01:15:53.552906+00:00 | 2024-05-09T01:15:53.552954+00:00 | 21 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n- Greedy\n - Select the `k` largest values in `happiness`\n- Simulation\n - Simulate the selection process\n - Increase the `unhappy` value for each round\n - Accumulate the sum by `max(0, happiness[i] - unhappy)` \n\n# Approach\n<!--... | 2 | 0 | ['Greedy', 'Sorting', 'Simulation', 'C++'] | 0 |
maximize-happiness-of-selected-children | Beats 97% || EASY and straight to the point. | beats-97-easy-and-straight-to-the-point-kiku8 | Intuition\n Describe your first thoughts on how to solve this problem. \n# UPVOTE PPL.\n# Approach\n Describe your approach to solving the problem. \n\n\n1. Sor | Abhishekkant135 | NORMAL | 2024-05-09T00:58:39.507301+00:00 | 2024-05-09T00:58:39.507332+00:00 | 87 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n# UPVOTE PPL.\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n\n1. **Sorting Happiness Scores:**\n - `Arrays.sort(happiness)`: Sorts the `happiness` array in descending order. This ensures that people with higher... | 2 | 0 | ['Python', 'Java'] | 1 |
maximize-happiness-of-selected-children | Kotlin "oneliner" | kotlin-oneliner-by-anton-pogonets-d3j6 | Complexity\n- Time complexity: O(n*log(n))\n- Space complexity: O(n)\n\n# Code\n\nclass Solution {\n fun maximumHappinessSum(happiness: IntArray, k: Int) =\n | anton-pogonets | NORMAL | 2024-05-09T00:21:07.419977+00:00 | 2024-05-09T00:21:07.420006+00:00 | 17 | false | # Complexity\n- Time complexity: $$O(n*log(n))$$\n- Space complexity: $$O(n)$$\n\n# Code\n```\nclass Solution {\n fun maximumHappinessSum(happiness: IntArray, k: Int) =\n happiness.sortedDescending().asSequence().withIndex()\n .take(k)\n .map { it.value.toLong() - it.index }\n ... | 2 | 0 | ['Kotlin'] | 0 |
maximize-happiness-of-selected-children | Fast and Easy Python solution 769 ms, beats 96% | fast-and-easy-python-solution-769-ms-bea-paoa | ```\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse=True)\n ans = 0\n fo | ANiSh684 | NORMAL | 2024-05-09T00:13:28.914420+00:00 | 2024-05-09T00:27:33.377654+00:00 | 25 | false | ```\nclass Solution:\n def maximumHappinessSum(self, happiness: List[int], k: int) -> int:\n happiness.sort(reverse=True)\n ans = 0\n for i in range(k):\n if happiness[i]-i > 0:\n ans += happiness[i]-i\n return ans | 2 | 0 | ['Python', 'Python3'] | 0 |
maximize-happiness-of-selected-children | Java Solution | Easy to Understand | Beginner Friendly | java-solution-easy-to-understand-beginne-3f60 | Intuition\n Describe your first thoughts on how to solve this problem. \nThe intuition behind this algorithm is to select the children with higher happiness val | amritgg2002 | NORMAL | 2024-03-10T19:49:41.346232+00:00 | 2024-03-10T19:49:41.346259+00:00 | 23 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe intuition behind this algorithm is to select the children with higher happiness values first to maximize the sum. The algorithm iterates through the sorted array of happiness values in descending order, selecting children and decremen... | 2 | 0 | ['Array', 'Sorting', 'Java'] | 1 |
maximize-happiness-of-selected-children | sorting || explained with example || c++ | sorting-explained-with-example-c-by-sufe-xbta | Intuition\n Describe your first thoughts on how to solve this problem. \nHow to think about this problem?\n step 1: soting, because we have to maximize happi | sufee_sahin | NORMAL | 2024-03-10T04:17:26.579050+00:00 | 2024-03-10T04:17:26.579084+00:00 | 93 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nHow to think about this problem?\n step 1: soting, because we have to maximize happiness\n step2 : only take care of all those values which are greater than 0.\n\n\n# Approach\n<!-- Describe your approach to solving the problem. -->... | 2 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Simple and Short | Sorting/Heap | 2 Solutions | simple-and-short-sortingheap-2-solutions-bs0v | \nclass Solution {\n public long maximumHappinessSum(int[] happiness, int k) {\n Arrays.sort(happiness);\n long ans = 0;\n int minus = 0 | spats7 | NORMAL | 2024-03-10T04:15:01.474114+00:00 | 2024-03-11T03:45:05.144677+00:00 | 181 | false | ```\nclass Solution {\n public long maximumHappinessSum(int[] happiness, int k) {\n Arrays.sort(happiness);\n long ans = 0;\n int minus = 0;\n int i = happiness.length - 1;\n while(minus < k){\n ans += Math.max(happiness[i] - minus, 0);\n minus++;\n ... | 2 | 0 | ['Sorting', 'Heap (Priority Queue)', 'Java'] | 2 |
maximize-happiness-of-selected-children | C++| Easy to understand | O(n logn) | c-easy-to-understand-on-logn-by-di_b-jt5z | Intuition\nStart from the highest happiness, and keep on adding it to the result.\n\n# Approach\n1. Sort the array in decreasing order of happiness\n2. Iterate | di_b | NORMAL | 2024-03-10T04:12:43.736447+00:00 | 2024-03-10T04:12:43.736469+00:00 | 114 | false | # Intuition\nStart from the highest happiness, and keep on adding it to the result.\n\n# Approach\n1. Sort the array in decreasing order of happiness\n2. Iterate over the array and keep on adding the current happiness into the result. As we cannot have negative happiness, add 0, if the happiness is becoming negative.\n... | 2 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Python max Heap | python-max-heap-by-hizinberg-k67s | Intuition\nTo maximize happiness, we want to prioritize placing the happiest people in the grid.\nA max-heap allows us to efficiently access the person with the | hizinberg | NORMAL | 2024-03-10T04:06:29.634396+00:00 | 2024-03-10T04:06:29.634430+00:00 | 44 | false | # Intuition\nTo maximize happiness, we want to prioritize placing the happiest people in the grid.\nA max-heap allows us to efficiently access the person with the highest happiness at any point.\n\n# Approach\nMax-Heap Construction: We convert the happiness list into a max-heap using heapq._heapify_max(we can insert ne... | 2 | 0 | ['Python3'] | 1 |
maximize-happiness-of-selected-children | ✅ Java Solution | Easy to understand | java-solution-easy-to-understand-by-hars-q4gy | CODE\nJava []\npublic long maximumHappinessSum(int[] happiness, int k) {\n\tArrays.sort(happiness);\n\n\tint turn = k, n=happiness.length, i=n-1;\n\tlong res=0; | Harsh__005 | NORMAL | 2024-03-10T04:03:01.985818+00:00 | 2024-03-10T04:03:01.985856+00:00 | 244 | false | ## **CODE**\n```Java []\npublic long maximumHappinessSum(int[] happiness, int k) {\n\tArrays.sort(happiness);\n\n\tint turn = k, n=happiness.length, i=n-1;\n\tlong res=0;\n\twhile(i>=0 && turn > 0){\n\t\tif(k-turn >= happiness[i]) break;\n\n\t\tres += happiness[i--];\n\t\tres -= (k-turn);\n\t\tturn--;\n\t}\n\treturn re... | 2 | 0 | ['Sorting', 'Java'] | 2 |
maximize-happiness-of-selected-children | Easy Python Solution | easy-python-solution-by-_suraj__007-8dw5 | Code\n\nclass Solution:\n def maximumHappinessSum(self, h: List[int], k: int) -> int:\n count = 0\n g = 0\n h.sort()\n for i in r | _suraj__007 | NORMAL | 2024-03-10T04:02:22.500170+00:00 | 2024-03-10T04:02:22.500202+00:00 | 34 | false | # Code\n```\nclass Solution:\n def maximumHappinessSum(self, h: List[int], k: int) -> int:\n count = 0\n g = 0\n h.sort()\n for i in range(len(h)-1,-1,-1):\n if k==0:\n break\n else:\n k-=1\n a = h[i] - g\n ... | 2 | 0 | ['Python3'] | 0 |
maximize-happiness-of-selected-children | Priority Queue Solution | Full Explanation | priority-queue-solution-full-explanation-laew | Intuition\n Describe your first thoughts on how to solve this problem. \nThe problem requires finding the maximum possible sum of happiness after performing k o | nidhiii_ | NORMAL | 2024-03-10T04:02:10.775815+00:00 | 2024-03-10T04:07:08.114315+00:00 | 140 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\nThe problem requires finding the maximum possible sum of happiness after performing k operations. Each operation involves selecting the topmost happiness value from the given vector and subtracting a decreasing value from it. \n\nTo maxim... | 2 | 0 | ['C++'] | 2 |
maximize-happiness-of-selected-children | Super Simple Easy to understand JAVA SOLUTION!!!! | super-simple-easy-to-understand-java-sol-2jjg | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | raj_karthik | NORMAL | 2025-03-15T06:12:54.750013+00:00 | 2025-03-15T06:12:54.750013+00:00 | 8 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 1 | 0 | ['Greedy', 'Java'] | 0 |
maximize-happiness-of-selected-children | Easiest c++ solution 87ms beats 97.95% solve by sorting | easiest-c-solution-87ms-beats-9795-solve-iz5n | IntuitionApproachComplexity
Time complexity: O(nlgn)
Space complexity: O(n)
Code | albert0909 | NORMAL | 2025-03-14T06:23:18.252824+00:00 | 2025-03-14T06:23:18.252824+00:00 | 25 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity: $$O(nlgn)$$
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity: $$O(n)$$
<!-- Add your space complexity here, e.g. $... | 1 | 0 | ['Array', 'Greedy', 'Sorting', 'C++'] | 0 |
maximize-happiness-of-selected-children | C# | c-by-adchoudhary-6bzm | Code | adchoudhary | NORMAL | 2025-02-26T04:12:26.277841+00:00 | 2025-02-26T04:12:26.277841+00:00 | 3 | false | # Code
```csharp []
public class Solution {
public long MaximumHappinessSum(int[] happiness, int k) {
happiness = happiness.OrderByDescending(x => x).ToArray();
long sum = 0;
int decrease = 0;
for (int i = 0; i < k; i++)
{
if(happiness[i] - decrease > 0)
... | 1 | 0 | ['C#'] | 0 |
maximize-happiness-of-selected-children | C++ || Super Easy || Beats 100% | c-super-easy-beats-100-by-samritsingh7-6ute | IntuitionThe problem requires maximizing the sum of happiness levels. Observing the input, the key insight is that the happiness levels are reduced linearly (by | samritsingh7 | NORMAL | 2025-02-02T10:37:35.166692+00:00 | 2025-02-02T10:37:35.166692+00:00 | 15 | false | # Intuition
The problem requires maximizing the sum of happiness levels. Observing the input, the key insight is that the happiness levels are reduced linearly (by their index). Sorting and then selecting the top k adjusted happiness values ensures the sum is maximized.
# Approach
1. Sort the happiness levels in desce... | 1 | 0 | ['C++'] | 0 |
maximize-happiness-of-selected-children | Partial sort for top K numbers | partial-sort-for-top-k-numbers-by-yashwa-n9qj | IntuitionApproachComplexity
Time complexity:
Space complexity:
Code | yashwanthreddi | NORMAL | 2025-01-22T17:21:51.816483+00:00 | 2025-01-22T17:21:51.816483+00:00 | 7 | false | # Intuition
<!-- Describe your first thoughts on how to solve this problem. -->
# Approach
<!-- Describe your approach to solving the problem. -->
# Complexity
- Time complexity:
<!-- Add your time complexity here, e.g. $$O(n)$$ -->
- Space complexity:
<!-- Add your space complexity here, e.g. $$O(n)$$ -->
# Code
`... | 1 | 0 | ['Greedy', 'C++'] | 0 |
maximize-happiness-of-selected-children | Java - Solution | java-solution-by-dsuryaprakash89-3edk | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | dsuryaprakash89 | NORMAL | 2024-12-06T16:05:58.695254+00:00 | 2024-12-06T16:05:58.695292+00:00 | 6 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- Add your time complexity here, e.g. $$O(n)$$ -->\n\n- Space complexity:\n<!-- Add your space complexity here, e.g. $$O(n)$$ --... | 1 | 0 | ['Array', 'Sorting', 'Heap (Priority Queue)', 'Java'] | 0 |
maximize-happiness-of-selected-children | Easy | Java | Beats 97% | With comments for explanation | easy-java-beats-97-with-comments-for-exp-sw28 | Intuition\n Describe your first thoughts on how to solve this problem. \n\n# Approach\n Describe your approach to solving the problem. \n\n# Complexity\n- Time | saiyam3 | NORMAL | 2024-10-10T10:07:42.392719+00:00 | 2024-10-10T10:07:42.392745+00:00 | 0 | false | # Intuition\n<!-- Describe your first thoughts on how to solve this problem. -->\n\n# Approach\n<!-- Describe your approach to solving the problem. -->\n\n# Complexity\n- Time complexity:\n<!-- O(n log n) -->\n\n- Space complexity:\n<!-- O(1) -->\n\n# Code\n```java []\nclass Solution {\n public long maximumHappiness... | 1 | 0 | ['Java'] | 0 |
maximize-happiness-of-selected-children | Detailed Explanation😴|| Priority Queue + Greedy + Sort || O(n.logn) + O(k.logn)🔥 | detailed-explanation-priority-queue-gree-jwwf | \n\n# Code\n\nclass Solution {\n public long maximumHappinessSum(int[] happiness, int k) {\n int n = happiness.length;\n long sum=0;\n I | Ankit1317 | NORMAL | 2024-07-31T05:22:33.363196+00:00 | 2024-07-31T05:22:33.363232+00:00 | 1 | false | \n\n# Code\n```\nclass Solution {\n public long maximumHappinessSum(int[] happiness, int k) {\n int n = happiness.length;\n long sum=0;\n Integer [] happinessArray = new Integer[n];\n for(int i = 0; i < n; i++) {\n happinessArray[i] = happiness[i];\n }\n Arrays.so... | 1 | 0 | ['Java'] | 1 |
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