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HomeLeetCode ProblemsMaximize Grid Happiness
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How to Solve Maximize Grid Happiness Problem

Master the Maximize Grid Happiness LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Hard#1659
LeetCode Problem

Maximize Grid Happiness

You are given four integers, m, n, introvertsCount, and extrovertsCount. You have an m x n grid, and there are two types of people: introverts and extroverts. There are introvertsCount introverts and extrovertsCount extroverts. You should decide how many people you want to live in the grid and assign each of them one grid cell. Note that you do not have to have all the people living in the grid. The happiness of each person is calculated as follows: Neighbors live in the directly adjacent cells north, east, south, and west of a person's cell. The grid happiness is the sum of each person's happiness. Return the maximum possible grid happiness.

Dynamic ProgrammingBit ManipulationMemoizationBitmask

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Problem Breakdown

Understanding the Maximize Grid Happiness Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

You are given four integers, m, n, introvertsCount, and extrovertsCount. You have an m x n grid, and there are two types of people: introverts and extroverts. There are introvertsCount introverts and extrovertsCount extroverts. You should decide how many people you want to live in the grid and assign each of them one grid cell. Note that you do not have to have all the people living in the grid. The happiness of each person is calculated as follows: Neighbors live in the directly adjacent cells north, east, south, and west of a person's cell. The grid happiness is the sum of each person's happiness. Return the maximum possible grid happiness.

HardProblem #1659
LeetCode

Maximize Grid Happiness

Related Topics

Dynamic ProgrammingBit ManipulationMemoizationBitmask

How Phantom Code Helps

Get real-time assistance for Maximize Grid Happiness problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input
m = 2, n = 3, introvertsCount = 1, extrovertsCount = 2
Output
240

# Example 2

Input
m = 3, n = 1, introvertsCount = 2, extrovertsCount = 1
Output
260

# Example 3

Input
m = 2, n = 2, introvertsCount = 4, extrovertsCount = 0
Output
240

Constraints

1 <= m, n <= 5
0 <= introvertsCount, extrovertsCount <= min(m * n, 6)

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Solve Maximize Grid Happiness — You are given four integers, m, n, introvertsCount, and extrovertsCount. You hav...

Here's the optimal approach using Dynamic Programming:

def solve(input):
# Optimal O(n) solution
return result

Time: O(n)  |  Space: O(n)

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Frequently Asked Questions

Common questions about solving Maximize Grid Happiness and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Maximize Grid Happiness during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Maximize Grid Happiness?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Maximize Grid Happiness?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Maximize Grid Happiness type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Maximize Grid Happiness interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Maximize Grid Happiness during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Maximize Grid Happiness style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Maximize Grid Happiness interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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