You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
[](https://www.mathworks.com/matlabcentral/fileexchange/XXXXX-PROJECTNAME) or [](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Multivariable-Derivatives&project=Derivatives.prj&file=README.m)
7
+
[](https://www.mathworks.com/matlabcentral/fileexchange/XXXXX-PROJECTNAME) or [](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Multivariable-Derivatives&project=Derivatives.prj&file=README.mlx)
_Created with R2025a. Compatible with R2025a and later releases._
13
+
_Created with R2026a. Compatible with R2026a and later releases._
15
14
16
15
# Information
17
16
@@ -21,14 +20,13 @@ This curriculum module contains interactive [MATLAB® live scripts](https://www.
21
20
22
21
## Background
23
22
24
-
You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers partial derivatives, Jacobians, line integrals, surface integrals, flux, divergence, and curl. It also includes examples of XXX\-TBD.
25
-
23
+
You can use these live scripts as demonstrations in lectures, class activities, or interactive assignments outside class. This module covers partial derivatives with applications to machine learning and computer vision.
26
24
27
25
The instructions inside the live scripts will guide you through the exercises and activities. Get started with each live script by running it one section at a time. To stop running the script or a section midway (for example, when an animation is in progress), use the <imgsrc="Images/EndIcon.png"width="19"alt="EndIcon.png"> Stop button in the **RUN** section of the **Live Editor** tab in the MATLAB Toolstrip.
28
26
29
27
## Contact Us
30
28
31
-
Solutions are available upon instructor request. Contact the [MathWorks teaching resources team](mailto:onlineteaching@mathworks.com) if you would like to request solutions, provide feedback, or if you have a question.
29
+
Contact the [MathWorks teaching resources team](mailto:onlineteaching@mathworks.com) if you would like to to request assistance, provide feedback, or if you have a question.
32
30
33
31
<aid="H_30BC7141"></a>
34
32
@@ -38,59 +36,39 @@ This module assumes knowledge of single variable calculus, vectors, including ve
Use the [<imgsrc="Images/OpenInMO.png"width="136"alt="OpenInMO.png">](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Multivariable-Derivatives&project=Derivatives.prj) link to download the module. You will be prompted to log in or create a MathWorks account. The project will be loaded, and you will see an app with several navigation options to get you started.
51
51
52
52
### **On Desktop:**
53
53
54
-
Download or clone this repository. Open MATLAB, navigate to the folder containing these scripts and double\-click on [Derivatives.prj](https://matlab.mathworks.com/open/github/v1?repo=MathWorks-Teaching-Resources/Multivariable-Derivatives&project=Derivatives.prj&file=README.m). It will add the appropriate files to your MATLAB path and open an app that asks you where you would like to start.
55
-
54
+
Download or clone this repository. Open MATLAB, navigate to the folder containing these scripts and double\-click [Derivatives.prj](<matlab: openProject("Derivatives.prj")>). It will add the appropriate files to your MATLAB path and open an app that asks you where you would like to start.
56
55
57
-
Ensure you have all the required products ([listed below](#H_E850B4FF)) installed. If you need to include a product, add it using the Add\-On Explorer. To install an add\-on, go to the **Home** tab and select <imgsrc="Images/AddOnsIcon.png"width="16"alt="AddOnsIcon.png"> **Add-Ons** > **Get Add-Ons**.
56
+
Ensure you have all the required products ([listed below](#H_E850B4FF)) installed. If you need to include a product, add it using the Add\-On Explorer. To install an add\-on, go to the **Home** tab and select <imgsrc="Images/AddOnsIcon.png"width="16"alt="AddOnsIcon.png"> **Add-Ons** > **Get Add-Ons**.
58
57
59
58
<aid="H_E850B4FF"></a>
60
59
61
60
## Products
62
61
63
-
MATLAB® and Symbolic Math Toolbox™ are used throughout. Tools from \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_*(list of other used toolboxes)* are used frequently as well. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_*(function from following toolbox)* is used from \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_*(toolbox containing previously mentioned function).*
64
-
65
-
66
-
*List of common products (not to be included in published README):*
67
-
68
-
- Simulink®
69
-
- Stateflow®
70
-
- Simscape™
71
-
- Statistics and Machine Learning Toolbox™
72
-
- Curve Fitting Toolbox™
73
-
- Optimization Toolbox™
74
-
75
-
*If your module uses a product not on this list, you can find it*[*here*](https://www.mathworks.com/products.html)*.*
62
+
MATLAB® and Symbolic Math Toolbox™ are used throughout. Tools from the Image Processing Toolbox™ are used in the computer vision example. The function `randsample` from the Statistics and Machine Learning Toolbox™ is used to create Exercise 5 in the partial derivatives script.
| <imgsrc="Images/Vector.png"width="171"alt="Vector.png"> <br> |**In this script, students will...** <br> $\bullet$ Explore divergence and curl graphically <br> $\bullet$ Compute the divergence and curl of a vector field <br> $\bullet$ Explore applications of parametric equations to represent space\-time data <br> |**Academic disciplines** <br> $\bullet$ Physics <br> $\bullet$ Electrical Engineering <br> $\bullet$ Mathematics <br> |
71
+
| <imgsrc="Images/SeaSurfaceGradient.png"width="171"alt="SeaSurfaceGradient.png"> <br> |**In this script, students will...** <br> $\bullet$ Compute and visualize partial derivatives, directional derivatives, and gradients <br> $\bullet$ Recognize notation for partial derivatives <br> $\bullet$ Apply the chain rule for partial derivatives <br> |**Academic disciplines** <br> $\bullet$ Machine learning (gradient descent) <br> $\bullet$ Mathematics <br> $\bullet$ Computer Vision <br> |
94
72
95
73
<aid="H_F61733D7"></a>
96
74
@@ -102,22 +80,19 @@ The license for this module is available in the [LICENSE.md](https://github.com/
Or feel free to explore our other [modular courseware content](https://www.mathworks.com/matlabcentral/fileexchange/?q=tag%3A%22courseware+module%22&sort=downloads_desc_30d).
87
+
Or feel free to explore our other [modular courseware content](https://www.mathworks.com/matlabcentral/profile/authors/37969341).
Looking for more? Find an issue? Have a suggestion? Please contact the [MathWorks teaching resources team](mailto:%20onlineteaching@mathworks.com). If you want to contribute directly to this project, you can find information about how to do so in the [CONTRIBUTING.md](https://github.com/MathWorks-Teaching-Resources/Multivariable-Derivatives/blob/release/CONTRIBUTING.md) page on GitHub.
0 commit comments