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How to Solve Reducing Dishes Problem
Master the Reducing Dishes LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsHard#1402
LeetCode ProblemReducing Dishes
A chef has collected data on the satisfaction level of his n dishes. Chef can cook any dish in 1 unit of time. Like-time coefficient of a dish is defined as the time taken to cook that dish including previous dishes multiplied by its satisfaction level i.e. time[i] * satisfaction[i]. Return the maximum sum of like-time coefficient that the chef can obtain after preparing some amount of dishes. Dishes can be prepared in any order and the chef can discard some dishes to get this maximum value.
ArrayDynamic ProgrammingGreedySorting
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Problem Breakdown
Understanding the Reducing Dishes Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
A chef has collected data on the satisfaction level of his n dishes. Chef can cook any dish in 1 unit of time. Like-time coefficient of a dish is defined as the time taken to cook that dish including previous dishes multiplied by its satisfaction level i.e. time[i] * satisfaction[i]. Return the maximum sum of like-time coefficient that the chef can obtain after preparing some amount of dishes. Dishes can be prepared in any order and the chef can discard some dishes to get this maximum value.
HardProblem #1402
LeetCodeReducing Dishes
Related Topics
ArrayDynamic ProgrammingGreedySorting
How Phantom Code Helps
Get real-time assistance for Reducing Dishes problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
satisfaction = [-1,-8,0,5,-9]
Output
14
# Example 2
Input
satisfaction = [4,3,2]
Output
20
# Example 3
Input
satisfaction = [-1,-4,-5]
Output
0
Constraints
n == satisfaction.length
1 <= n <= 500
-1000 <= satisfaction[i] <= 1000
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Solve Reducing Dishes — A chef has collected data on the satisfaction level of his n dishes. Chef can co...
Here's the optimal approach using Array:
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 Reducing Dishes and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Reducing Dishes 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 Reducing Dishes?
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 Reducing Dishes?
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 Reducing Dishes 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 Reducing Dishes 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 Reducing Dishes 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 Reducing Dishes 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 Reducing Dishes 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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