|
| 1 | +--- |
| 2 | +id: maximum-number-of-groups-with-increasing-length |
| 3 | +title: Maximum Number of Groups With Increasing Length |
| 4 | +sidebar_label: 2790 Maximum Number of Groups With Increasing Length |
| 5 | +tags: |
| 6 | +- Java |
| 7 | +- Math |
| 8 | +- Array |
| 9 | +- Binary Search |
| 10 | +- Greedy |
| 11 | +- Sorting |
| 12 | +description: "This document provides a solution where we Return an integer denoting the maximum number of groups you can create while satisfying these conditions." |
| 13 | +--- |
| 14 | + |
| 15 | +## Problem |
| 16 | + |
| 17 | +You are given a **0-indexed** array $usageLimits$ of length $n$. |
| 18 | + |
| 19 | +Your task is to create **groups** using numbers from $0$ to $n - 1$, ensuring that each number, $i$, is used no more than $usageLimits[i]$ times in total **across all groups**. You must also satisfy the following conditions: |
| 20 | + |
| 21 | +- Each group must consist of **distinct** numbers, meaning that no duplicate numbers are allowed within a single group. |
| 22 | + |
| 23 | +- Each group (except the first one) must have a length **strictly greater** than the previous group. |
| 24 | + |
| 25 | +Return an integer denoting the **maximum** number of groups you can create while satisfying these conditions. |
| 26 | + |
| 27 | +### Examples |
| 28 | + |
| 29 | +**Example 1:** |
| 30 | + |
| 31 | +``` |
| 32 | +Input: usageLimits = [1,2,5] |
| 33 | +
|
| 34 | +Output: 3 |
| 35 | +
|
| 36 | +Explanation: In this example, we can use 0 at most once, 1 at most twice, and 2 at most five times. |
| 37 | +
|
| 38 | +One way of creating the maximum number of groups while satisfying the conditions is: |
| 39 | +
|
| 40 | +Group 1 contains the number [2]. |
| 41 | +
|
| 42 | +Group 2 contains the numbers [1,2]. |
| 43 | +
|
| 44 | +Group 3 contains the numbers [0,1,2]. |
| 45 | +
|
| 46 | +It can be shown that the maximum number of groups is 3. |
| 47 | +
|
| 48 | +So, the output is 3. |
| 49 | +
|
| 50 | +``` |
| 51 | +**Example 2:** |
| 52 | + |
| 53 | +``` |
| 54 | +Input: usageLimits = [2,1,2] |
| 55 | +
|
| 56 | +Output: 2 |
| 57 | +
|
| 58 | +Explanation: In this example, we can use 0 at most twice, 1 at most once, and 2 at most twice. |
| 59 | +
|
| 60 | +One way of creating the maximum number of groups while satisfying the conditions is: |
| 61 | +
|
| 62 | +Group 1 contains the number [0]. |
| 63 | +
|
| 64 | +Group 2 contains the numbers [1,2]. |
| 65 | +
|
| 66 | +It can be shown that the maximum number of groups is 2. |
| 67 | +
|
| 68 | +So, the output is 2. |
| 69 | +
|
| 70 | +``` |
| 71 | + |
| 72 | +**Example 3:** |
| 73 | + |
| 74 | +``` |
| 75 | +Input: usageLimits = [1,1] |
| 76 | +
|
| 77 | +Output: 1 |
| 78 | +
|
| 79 | +Explanation: In this example, we can use both 0 and 1 at most once. |
| 80 | +
|
| 81 | +One way of creating the maximum number of groups while satisfying the conditions is: |
| 82 | +
|
| 83 | +Group 1 contains the number [0]. |
| 84 | +
|
| 85 | +It can be shown that the maximum number of groups is 1. |
| 86 | +
|
| 87 | +So, the output is 1. |
| 88 | +``` |
| 89 | + |
| 90 | +### Constraints |
| 91 | + |
| 92 | +- $1 <= usageLimits.length <= 10^5$ |
| 93 | +- $1 <= usageLimits[i] <= 10^9$ |
| 94 | +--- |
| 95 | + |
| 96 | +## Approach |
| 97 | + |
| 98 | +To solve the problem, we need to understand the nature of the allowed moves: |
| 99 | + |
| 100 | +1. **Sort the Usage Limits**: |
| 101 | + |
| 102 | + - Start by sorting the **'usageLimits'** array. This helps in efficiently forming groups by using the smallest available numbers first, which maximizes the number of groups we can form. |
| 103 | + |
| 104 | +2. **Initialize Variables**: |
| 105 | + |
| 106 | + - **'groups'**: Keeps track of the number of groups formed. |
| 107 | + |
| 108 | + - **'currentGroupSize'**: Represents the required size for the next group to be formed, starting at 1. |
| 109 | + |
| 110 | + - **'availableNumbers'**: Tracks the total available slots from all numbers seen so far. |
| 111 | + |
| 112 | +3. **Form Groups**: |
| 113 | + |
| 114 | + - Iterate through the sorted **'usageLimits'**. |
| 115 | + |
| 116 | + - For each limit, add it to **'availableNumbers'**. |
| 117 | + |
| 118 | + - Check if **'availableNumbers'** is at least as large as **'currentGroupSize'**. |
| 119 | + |
| 120 | + - If true, it means we can form a new group of size **'currentGroupSize'**. |
| 121 | + |
| 122 | + - Increment the **'groups'** counter, decrement **'availableNumbers'** by **'currentGroupSize'**, and **'increase'** currentGroupSize by 1 for the next group. |
| 123 | + |
| 124 | +## Solution for Maximum Number of Groups With Increasing Length |
| 125 | + |
| 126 | +- The core idea is to maximize the number of groups by ensuring each group has a distinct set of numbers and each subsequent group is larger than the previous one. |
| 127 | + |
| 128 | +- By sorting the **'usageLimits'**, we can efficiently use the smallest available counts first to form valid groups. |
| 129 | + |
| 130 | +- This approach ensures that we can form as many groups as possible without exceeding the usage limits. |
| 131 | + |
| 132 | +#### Code in Java |
| 133 | + |
| 134 | +```java |
| 135 | +import java.util.Collections; |
| 136 | +import java.util.List; |
| 137 | + |
| 138 | +class Solution { |
| 139 | + public int maxIncreasingGroups(List<Integer> usageLimits) { |
| 140 | + // Sort the usageLimits in ascending order |
| 141 | + Collections.sort(usageLimits); |
| 142 | + |
| 143 | + // Initialize variables |
| 144 | + int groups = 0; |
| 145 | + int currentGroupSize = 1; // the size of the next group we want to form |
| 146 | + long availableNumbers = 0; // to track the number of available slots across all numbers |
| 147 | + |
| 148 | + // Traverse the sorted usageLimits |
| 149 | + for (int limit : usageLimits) { |
| 150 | + availableNumbers += limit; // add the current limit to available slots |
| 151 | + |
| 152 | + // Check if we can form the next group |
| 153 | + if (availableNumbers >= currentGroupSize) { |
| 154 | + groups++; // form a new group |
| 155 | + availableNumbers -= currentGroupSize; // reduce the used slots |
| 156 | + currentGroupSize++; // increase the size requirement for the next group |
| 157 | + } |
| 158 | + } |
| 159 | + |
| 160 | + return groups; |
| 161 | + } |
| 162 | +} |
| 163 | +``` |
| 164 | + |
| 165 | +### Complexity Analysis |
| 166 | + |
| 167 | +#### Time Complexity: $O(nlogn)$ |
| 168 | + |
| 169 | +> **Reason**: Time Complexity is $O(nlogn)$. Sorting the **'usageLimits'** takes $O(nlogn)$ time. Iterating through the sorted list takes $O(n)$ time. Therefore, the overall time complexity is $O(nlogn)$. |
| 170 | +
|
| 171 | +#### Space Complexity: $O(1)$ |
| 172 | + |
| 173 | +> **Reason**: The space complexity is $O(1)$, Because the additional space (ignoring the space used by the input list and the space needed for sorting, which is $O(n)$). |
| 174 | +
|
| 175 | +# References |
| 176 | + |
| 177 | +- **LeetCode Problem:** [Maximum Number of Groups With Increasing Length](https://leetcode.com/problems/maximum-number-of-groups-with-increasing-length/description/) |
| 178 | +- **Solution Link:** [Maximum Number of Groups With Increasing Length Solution on LeetCode](https://leetcode.com/problems/maximum-number-of-groups-with-increasing-length/solutions/) |
| 179 | +- **Authors LeetCode Profile:** [Vivek Vardhan](https://leetcode.com/u/vivekvardhan43862/) |
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