Maximum Packages within Time | Bird and Max Fruit Gathering | gfg potd | POTD | gfg problems
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Maximum Packages within Time | Bird and Max Fruit Gathering | gfg potd | POTD | gfg problems
92 просмотра · 5 дн. назад
MKA Achievers
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92 просмотра · 5 дн. назад
In this video, we solve the *"Maximum Packages within Time"* problem step by step using Java.
In this video, we solve the *"Bird and Max Fruit Gathering"* problem step by step using Java.
In this video, we solve the *"Maximum Sum Subarray of Size K"* problem step by step using Java.
*Maximum Packages within Time*
🔑 *Key Searches:*
Maximum Packages within Time
GFG POTD
GFG POTD Today
GeeksforGeeks Java Solution
Maximum Sum Subarray of Size K
Bird and Max Fruit Gathering
Sliding Window Technique
Fixed Size Sliding Window
Consecutive Subarray Sum
Maximum Sum of Consecutive Elements
Array Problems in Java
Optimized Java Solution
Java DSA Problems
Time and Space Complexity
GeeksforGeeks Problem of the Day
You’ll learn how to find the maximum number of packages that a delivery agent can deliver within a given time. Since visiting each location takes 1 unit of time, we need to find a consecutive subarray of size *totalTime* having the maximum sum.
We use the *Sliding Window Technique* to efficiently calculate the sum of consecutive locations in O(n) time without repeatedly calculating the entire window sum.
🔍 *What’s Covered:*
Problem statement and requirements
Understanding the Maximum Packages within Time problem
Finding the maximum packages from consecutive locations
Understanding the Fixed Size Sliding Window technique
Calculating the initial window sum
Sliding the window by adding the next element and removing the previous element
Handling cases where totalTime is greater than or equal to the array size
Step-by-step dry run with examples
Line-by-line explanation of the Java solution
Optimizing the brute-force approach using Sliding Window
Time Complexity: O(n)
Auxiliary Space Complexity: O(1)
Submitting the solution on GeeksforGeeks
💡 Perfect for students learning Java, Data Structures and Algorithms (DSA), array manipulation, sliding window techniques, and problem-solving approaches for coding interviews and competitive programming.
📚 *Problem Source:* GeeksforGeeks – Maximum Packages within Time
👨💻 *Telegram Channel:* https://t.me/MKAAchievers
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