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Скачать или смотреть How to Define a Composite Function in Mathematica with Derivatives and Multiple Arguments

  • vlogize
  • 2025-04-15
  • 5
How to Define a Composite Function in Mathematica with Derivatives and Multiple Arguments
Mathematica: Define a composite function in which the derivative of the argument appearswolfram mathematica
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Описание к видео How to Define a Composite Function in Mathematica with Derivatives and Multiple Arguments

Learn how to effectively define and manipulate composite functions in Mathematica, particularly when involving derivatives and function evaluations at different points.
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This video is based on the question https://stackoverflow.com/q/73912902/ asked by the user 'Fabio Aratore' ( https://stackoverflow.com/u/20133030/ ) and on the answer https://stackoverflow.com/a/73915556/ provided by the user 'Bill' ( https://stackoverflow.com/u/2797269/ ) 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: Mathematica: Define a composite function in which the derivative of the argument appears

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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.

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How to Define a Composite Function in Mathematica with Derivatives and Multiple Arguments

In the realm of computational mathematics, particularly using Mathematica, defining functions with arguments and derivatives can sometimes feel quite daunting. If you've ever tried to create a composite function that incorporates the derivative of its argument, you may have hit a snag, especially when it comes to evaluating functions at various points. This guide will help you navigate this common issue and provide a clear solution using Mathematica's capabilities.

The Problem at Hand

You might have a function defined as:

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

This expression includes the derivative of y and evaluates y at multiple points, complicating how we can define it in Mathematica. The confusion primarily arises from incorporating the variable x which is crucial for evaluating the function at differing points.

The Solution Explained

To tackle this, we can use a structured approach in Mathematica that leverages delayed definitions. Here’s how to implement it step-by-step:

Step 1: Define the Function y

Start by defining your function, say Sin[x], in Mathematica:

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

Step 2: Define Your Composite Function

Next, we will define the composite function L:

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

Here, we use the ReplaceAll (/.) function to replace the variable z with x. This allows the function to evaluate correctly with respect to x.

Step 3: Evaluate the Function

To evaluate the function at any point, for instance at x=2, you can simply call:

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

Example Evaluations

Let’s see what this composite function returns:

Generic Form:

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

This returns:

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

Specific Value:

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

This results in:

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

Final Notes

This method provides a robust way to define composite functions that depend on derivatives and multiple evaluations. However, be cautious and test your implementations thoroughly. Mathematica is versatile, and there are often alternative ways to define functions, so exploring different methods can also be beneficial.

In conclusion, with the steps outlined above, you should be well-equipped to define and manipulate composite functions in Mathematica, making your computational tasks smoother and more efficient.

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