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Скачать или смотреть Solving JavaScript Heap Out of Memory While Finding Prime Factors

  • vlogize
  • 2025-10-03
  • 0
Solving JavaScript Heap Out of Memory While Finding Prime Factors
How to solve JavaScript heap out of memory on prime number exercisejavascript
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Описание к видео Solving JavaScript Heap Out of Memory While Finding Prime Factors

Learn how to fix the `JavaScript heap out of memory` error by optimizing your code for finding prime factors of large numbers like 992,474,117.
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This video is based on the question https://stackoverflow.com/q/63271134/ asked by the user 'Yann Bohbot' ( https://stackoverflow.com/u/1884050/ ) and on the answer https://stackoverflow.com/a/63271293/ provided by the user 'Unmitigated' ( https://stackoverflow.com/u/9513184/ ) 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 solve JavaScript heap out of memory on prime number exercise

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 Fix JavaScript Heap Out of Memory Error in Prime Number Exercise

If you've ever encountered the dreaded JavaScript heap out of memory error while trying to find prime factors, you're not alone. This common issue arises, especially when dealing with large numbers, like 992,474,117. The error usually indicates that your code is consuming too much memory, causing the JavaScript environment to crash. In this guide, we'll detail how to solve this problem efficiently by optimizing your approach to finding prime factors.

Understanding the Problem

You may have attempted to tackle this problem with the following JavaScript code:

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

Running this code might lead you to the following error: FATAL ERROR: invalid table size Allocation failed - JavaScript heap out of memory. This happens because your approach is trying to allocate too much memory for the operation, which is unnecessary.

Solution Steps

To efficiently find the prime factors of a number without running into memory issues, follow these structured guidelines:

1. Initialize the Primes Array Correctly

Instead of allocating a large array from the start, initiate the primes array as an empty array. This avoids pre-allocating unnecessary space:

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

2. Loop Only Up to the Square Root of the Number

When finding prime factors, you only need to check for factors up to the square root of your target number (max). This significantly reduces the number of iterations and thus memory usage.

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

3. Use Division to Find Factors

Once you find a prime factor, continue dividing the number until you can no longer do so. This eliminates the need for a separate store array to track non-prime numbers. Here’s how to implement these changes:

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

4. Capture the Largest Prime Factor

After finishing your loop, if the remaining number is greater than 2, it means you've found the largest prime factor and should add it to the array.

Final Code

Here’s the optimized JavaScript function to accurately find the prime factors of 992,474,117 without running into memory issues:

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

Conclusion

By following these optimizations, you'll effectively avoid the JavaScript heap out of memory error while determining the prime factors of large numbers. This not only makes your code run faster but also utilizes memory more efficiently. Next time you bump into this problem, implement these techniques, and watch how smoothly your code runs.

Feel free to leave any questions or further clarifications in the comments below!

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