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How to Solve Maximize Win From Two Segments Problem
Master the Maximize Win From Two Segments LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#2555
LeetCode ProblemMaximize Win From Two Segments
There are some prizes on the X-axis. You are given an integer array prizePositions that is sorted in non-decreasing order, where prizePositions[i] is the position of the ith prize. There could be different prizes at the same position on the line. You are also given an integer k. You are allowed to select two segments with integer endpoints. The length of each segment must be k. You will collect all prizes whose position falls within at least one of the two selected segments (including the endpoints of the segments). The two selected segments may intersect. Return the maximum number of prizes you can win if you choose the two segments optimally.
ArrayBinary SearchSliding Window
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Problem Breakdown
Understanding the Maximize Win From Two Segments Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
There are some prizes on the X-axis. You are given an integer array prizePositions that is sorted in non-decreasing order, where prizePositions[i] is the position of the ith prize. There could be different prizes at the same position on the line. You are also given an integer k. You are allowed to select two segments with integer endpoints. The length of each segment must be k. You will collect all prizes whose position falls within at least one of the two selected segments (including the endpoints of the segments). The two selected segments may intersect. Return the maximum number of prizes you can win if you choose the two segments optimally.
MediumProblem #2555
LeetCodeMaximize Win From Two Segments
Related Topics
ArrayBinary SearchSliding Window
How Phantom Code Helps
Get real-time assistance for Maximize Win From Two Segments problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
prizePositions = [1,1,2,2,3,3,5], k = 2
Output
7
# Example 2
Input
prizePositions = [1,2,3,4], k = 0
Output
2
Constraints
1 <= prizePositions.length <= 105
1 <= prizePositions[i] <= 109
0 <= k <= 109
prizePositions is sorted in non-decreasing order.
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Solve Maximize Win From Two Segments — There are some prizes on the X-axis. You are given an integer array prizePositio...
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 Maximize Win From Two Segments and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Maximize Win From Two Segments 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 Win From Two Segments?
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 Win From Two Segments?
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 Win From Two Segments 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 Win From Two Segments 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 Win From Two Segments 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 Win From Two Segments 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 Win From Two Segments 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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