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Скачать или смотреть How to Calculate Max Sum of Opposite Values in an Array with Recursion in Java

  • vlogize
  • 2025-03-21
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How to Calculate Max Sum of Opposite Values in an Array with Recursion in Java
How to save certain values during recursion in java without passing them as a parameterjavarecursion
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Описание к видео How to Calculate Max Sum of Opposite Values in an Array with Recursion in Java

Discover an effective method to calculate the maximum sum of opposite numbers in an array using recursion in `Java`, without passing additional parameters.
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This video is based on the question https://stackoverflow.com/q/77848919/ asked by the user 'Frag' ( https://stackoverflow.com/u/23271007/ ) and on the answer https://stackoverflow.com/a/77848953/ provided by the user 'ControlAltDel' ( https://stackoverflow.com/u/1291492/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to save certain values during recursion in java without passing them as a parameter

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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How to Calculate Max Sum of Opposite Values in an Array with Recursion in Java

When working with recursion in programming, especially in Java, it can sometimes be tricky to keep track of specific values without passing them along as parameters. This post will tackle a common problem: calculating the maximum sum of opposite numbers in an array recursively.

The Problem Statement

Imagine you are given an array of integers, and you need to find the maximum sum of pairs of numbers that are located at opposite ends of the array. The pairs consist of the first number with the last, the second with the second last, and so on.

Example

For an input array like {2, 2, 4, 5}, the calculation would look like this:

Pair 1: 2 + 5 = 7

Pair 2: 2 + 4 = 6

The maximum sum, therefore, is 7.

The Challenge

The challenge here is to implement this calculation using a recursive function without the ability to store the maximum value as an argument in the function call. This means we need to cleverly structure our approach to ensure we still find the highest sum through recursion alone.

Solution Approach

Let’s break down the solution step-by-step.

Step 1: Base Case

To handle recursion, we must define a base case to stop the recursion. In this case, recursion continues until the start index is greater than or equal to the end index.

Step 2: Recursive Calculation

Instead of keeping track of the maximum sum throughout the recursive calls, we can compare the sums of the pairs of numbers as we progress through the recursion. The key to solving this problem is modifying the return statement in our recursive function.

Step 3: Modify the Return Statement

Here’s the modified part of the function that you need to implement:

[[See Video to Reveal this Text or Code Snippet]]

This simple change allows the function to return the maximum of the current pair's sum or the sum derived from the recursive call.

Complete Implementation

Putting it all together, here's the full implementation of the recursive method:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Code

Base Case: When start >= end, the recursion stops and returns 0, as this indicates that there are no more pairs to compare.

Recursive Call: The function now evaluates the sum of the elements at the start and end indexes, compares it to the result of the recursive call (moving inward), and returns the larger of the two.

Conclusion

By following this approach, you can successfully find the maximum sum of opposite numbers in an array using recursion in Java, without needing to pass any additional parameters for storage. This method showcases the power and elegance of using recursion effectively while also adhering to given constraints.

Final Thoughts

Next time you find yourself needing to keep track of values in a recursive function, remember that sometimes you can achieve your goal by cleverly structuring your return logic instead. Happy coding!

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