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Скачать или смотреть Efficiently Calculate Magnitude of Array Elements in MATLAB

  • vlogize
  • 2025-10-01
  • 1
Efficiently Calculate Magnitude of Array Elements in MATLAB
Applying an equation to specific rows of an array and concatenating the answers to an arraymatlab
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Описание к видео Efficiently Calculate Magnitude of Array Elements in MATLAB

Learn how to apply an equation to specific rows of an array in MATLAB and concatenate the results effectively. This guide simplifies array manipulation and magnitudes in MATLAB.
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This video is based on the question https://stackoverflow.com/q/63833859/ asked by the user 'epat' ( https://stackoverflow.com/u/14119984/ ) and on the answer https://stackoverflow.com/a/63838136/ provided by the user 'alex31' ( https://stackoverflow.com/u/14206509/ ) 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: Applying an equation to specific rows of an array and concatenating the answers to an array

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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Applying an Equation to Specific Rows of an Array in MATLAB

When working with numerical data in MATLAB, you might face the challenge of applying equations to subsets of an array. This task can become particularly complex if you need to consider specific conditions, like only applying calculations to non-zero entries. In this guide, we will address a common problem: how to calculate the magnitude of sets of three elements within an array while effectively concatenating the results.

The Problem

Imagine you have an array composed of both zero and non-zero elements, and you need to:

Group the elements in groups of three.

Calculate the magnitude (or norm) of each group.

Skip groups that contain zeros.

Concatenate the results into a new array.

The challenge can be daunting, especially if you are new to coding, and that's exactly what we aim to simplify here.

Solution Breakdown

To solve the problem, we will break down the solution into a sequence of simple steps. Here’s how you can effectively achieve this in MATLAB:

Step 1: Define Your Array

We start with an array that contains both non-zero and zero values. For example:

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

Step 2: Identify Non-Zero Elements

Next, we use the find() function to locate the indices of non-zero elements in the array. This will provide us with the positions that are relevant for our calculations.

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

Step 3: Initialize an Empty Result Array

Before we begin concatenating results, we'll create an empty array cat_new_array to store our magnitude results.

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

Step 4: Loop Through Non-Zero Elements in Groups of Three

Now, we need to loop through the non-zero elements in groups of three. We can do this by calculating the number of complete sets of three elements we can take from the array_non_zero. Here’s how it works:

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

In this loop:

We iterate over the indices of the non-zero positions, taking subsets of three at a time.

We calculate the norm (magnitude) of each subset using MATLAB’s norm() function.

Finally, we concatenate these results to cat_new_array.

Complete Code Example

Here’s the complete code snippet that incorporates all the steps we’ve outlined:

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

Conclusion

By following these steps, you have successfully calculated the magnitude of specific rows in an array, concatenating the results into a new array while conveniently skipping any zero entries. This method not only simplifies your calculations but also ensures the integrity of the results.

Don’t hesitate to play around with this code and modify it as per your requirements. Happy coding!

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