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Скачать или смотреть Resolving the Recursive Binary Search Index Error

  • vlogize
  • 2025-09-19
  • 2
Resolving the Recursive Binary Search Index Error
Recursive binary search returns correct target but at the middle index in arrayalgorithmrecursionsearchbinary
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Описание к видео Resolving the Recursive Binary Search Index Error

Encountering issues with your recursive binary search in C? Learn how a simple coding mistake can lead to wrong index results and how to fix it effectively.
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This video is based on the question https://stackoverflow.com/q/60696164/ asked by the user 'Noah Pereira' ( https://stackoverflow.com/u/4196163/ ) and on the answer https://stackoverflow.com/a/62461497/ provided by the user 'Noah Pereira' ( https://stackoverflow.com/u/4196163/ ) 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: Recursive binary search returns correct target, but at the middle index in array

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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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Resolving the Recursive Binary Search Index Error: A Simple Solution

Binary search is a classic algorithm often used for efficient searching in sorted arrays. However, even a small mistake in the code can lead to unexpected results, such as finding the correct target value but at the wrong index. In this guide, we will explore a common issue encountered in a recursive binary search implementation in C, as well as the straightforward solution to fix it.

The Problem

Imagine you are trying to implement a recursive binary search algorithm, and everything seems to work well—except for one critical issue: when the target value is found, it always returns the wrong index. Instead of providing the correct index of the target, the search seems to point to the middle index of the current search boundary.

Key Symptoms:

The function returns the correct target value.

The index returned is always the midpoint between high and low, regardless of whether the target exists in the array.

Changing the target to a value not present in the array still results in an incorrect index return.

With these issues at hand, let's take a closer look at the implementation of the binary search function, as presented below:

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

Upon examining this code, we identify a critical mistake in the comparison operation meant to check if the mid-value is equal to the target. Let’s break down the solution to correct this issue.

The Solution

Understanding the Error

The primary issue lies in this line of code:

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

Here, = is used, which is an assignment operator in C. This causes the program to mistakenly assign the value of x to arr[mid], resulting in returning the index of mid even when it’s not intended. Because assignments evaluate to the assigned value, the condition always evaluates to true unless x is 0.

Correcting the Mistake

To resolve this error, we need to use the equality comparison operator ==, which checks whether the left side is equal to the right side. The corrected line of code would look like this:

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

Updated Code

Here’s how your corrected binary search function should appear:

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

Conclusion

Coding can sometimes lead us astray with trivial mistakes, such as using the wrong operator. In this case, replacing the assignment operator with the equality operator resolves the issue in the recursive binary search. Always ensure to double-check your comparisons to prevent such errors in the future!

By understanding and addressing this common pitfall, you can now confidently implement binary search in your own projects without running into the same issue. Happy coding!

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