The MATLAB AI Chat Playground is now open to the whole community! Answer questions, write first draft MATLAB code, and generate examples of common functions with natural language.
The playground features a chat panel next to a lightweight MATLAB code editor. Use the chat panel to enter natural language prompts to return explanations and code. You can keep chatting with the AI to refine the results or make changes to the output.
Give it a try, provide feedback on the output, and check back often as we make improvements to the model and overall experience.
29 comentarios
Write a code for the 8 cell balancing in matlab
magine a vehicle parked at cold condition. before you start the engine you have to switch a fan to heat the radiator. design a logic the thrawing process. a driver should be indicated in the dashboard
This isn't a comment on the thread topic. It's not a question or an answer. It's a copied and pasted homework assignment which is incomplete, and the portion that is available is a collage of nonsense.
I'm going to ignore whatever made you think that hiding incomplete chunks of text in random places on the internet will make your life easier. I'm more curious about whatever influenced the person who wrote this assignment.
If you need to preheat an engine prior to starting it, there's little point in heating the radiator, since it's usually thermostatically isolated from the engine. This is why block heaters exist. In any case, if the system is cold because its surroundings are cold, then how do you expect to warm it up by using a fan? If the system is so cold that it must be thawed, then the radiator and likely other components are either damaged or destroyed. As to what "a driver should be indicated in the dashboard" means, I have no idea. Could it be solved by taping a mirror to the instrument cluster?
Prompt:
draw a rectangle overlaid with an ellipse
Response:
Certainly! To draw a rectangle overlaid with an ellipse in MATLAB, you can use the `rectangle` and `ellipse` functions. Here's an example:
```matlab
% Set the coordinates and size of the rectangle
xRect = -4;
yRect = -2;
widthRect = 8;
heightRect = 4;
% Set the coordinates and size of the ellipse
xEllipse = 0;
yEllipse = 0;
widthEllipse = 6;
heightEllipse = 3;
% Create a figure and axes
figure
axes
% Draw the rectangle
rectangle('Position', [xRect, yRect, widthRect, heightRect], 'FaceColor', 'blue')
% Draw the ellipse
ellipse('Position', [xEllipse, yEllipse, widthEllipse, heightEllipse], 'FaceColor', 'red')
% Set the axis limits
axis equal
xlim([-10, 10])
ylim([-10, 10])
% Add labels and title
xlabel('X')
ylabel('Y')
title('Rectangle overlaid with Ellipse')
```
In this code, we use the `rectangle` function to draw a blue rectangle with the specified coordinates and size. Then, we use the `ellipse` function to draw a red ellipse with the specified coordinates and size. The resulting plot will have the x-axis labeled as "X", the y-axis labeled as "Y", and a title "Rectangle overlaid with Ellipse".
====
This calls the non-existent "ellipse" function
Prompt:
draw a superellipse
Response:
Certainly! To draw a superellipse in MATLAB, you can use the `patch` function along with the `superellipse` function. Here's an example:
```matlab
% Define the parameters of the superellipse
a = 2;
b = 2;
n = 4;
% Generate the points of the superellipse
theta = linspace(0, 2*pi, 100);
x = a * sign(cos(theta)) .* abs(cos(theta)).^(2/n);
y = b * sign(sin(theta)) .* abs(sin(theta)).^(2/n);
% Plot the superellipse
figure
patch(x, y, 'r')
axis equal
xlabel('X')
ylabel('Y')
title('Superellipse')
```
In this code, we define the parameters `a`, `b`, and `n` to control the shape of the superellipse. The `superellipse` function generates the x and y coordinates of the points on the superellipse. We then use the `patch` function to plot the superellipse as a filled shape. The resulting plot will have the x-axis labeled as "X", the y-axis labeled as "Y", and a title "Superellipse".
=====
The actual code generated is fine, but the description of it mentions a "superellipse" function multiple times; there is no "superellipse" function in MATLAB.
Prompt:
draw a square
Response
Sure! To draw a square in MATLAB, you can use the `rectangle` function. Here's an example:
```matlab
% Set the coordinates and size of the square
x = 0;
y = 0;
width = 5;
height = 5;
% Create a figure and axes
figure
axes
% Draw the square
rectangle('Position', [x, y, width, height])
% Set the axis limits
axis equal
xlim([-10, 10])
ylim([-10, 10])
% Add labels and title
xlabel('X')
ylabel('Y')
title('Square')
```
This code creates a square with a width and height of 5 units, centered at the origin (0, 0). The `rectangle` function is used to draw the square on the axes. The resulting plot will have the x-axis labeled as "X", the y-axis labeled as "Y", and a title "Square".
====
The problem is that this square is not centered on (0,0) as is claimed: it has it's lower-left corner at (0,0)
good idea
Why this feature still not available in some places , including place now ?!
Some locales are not supported by the OpenAI APIs. When they change their support, we will update ours. This is the current allowlist: https://platform.openai.com/docs/supported-countries
(1) In the code window, the previous test codes should be removed automatically, or those codes which have already been compiled should not be compiled and refresh again; (2) We can not interact with the figure produced by the codes. For example, we can not change view of 3D figure. (3) We can not have a timely view of each step of figure/command window, but only see the final results. (4) Maybe add more buttons like upload and analysis matlab codes/debug/improvement suggestion...
Great suggestions. Thanks for sharing your feedback!
It would be nice if it was supported in mainland China, I can't use it, unfortunately
Did MathWorks leverage Cody solutions as a data source for training the LLM?
…seems like that’s a fairly large set that’s readily available and helpful with the multiple solutions per problem
I am not sure what data will be used in the future, but it is certainly a great data set.
It has some sophisticated knowledge such as knowing about different species being associated with being predators or prey. For example it won't let you ask for a predator model for pandas vs maple syrup or vs maple trees, but it will let you ask about fish vs bamboo because it knows each of those are associated with predator models.
I still suspect that "Walter Roberson" is in fact the ultimate Chat AI that Mathworks developed years ago and it's only ever steadily refining itself with each post.
Prompt:
create a 3d model of a cow
Response:
Sorry, as an expert MATLAB programmer, I can only provide assistance with MATLAB-related inquiries. While MATLAB does have some 3D modeling capabilities, it is not a dedicated 3D modeling software like Blender or Maya. However, you can use MATLAB to create simple 3D shapes and visualize them. Here's an example code to create a 3D cow shape:
```matlab
% Define cow shape
[x, y, z] = sphere(50);
x = x * 2;
y = y * 2;
z = z * 1.5;
z(z < 0) = 0;
z = z + 1.5;
u = x;
v = y;
w = z;
% Plot cow shape
surf(u, v, w)
axis equal
```
This code uses the `sphere` function to create a sphere shape, which is then modified to resemble a cow shape. It then uses the `surf` function to plot the cow shape in 3D.
====
This is not even remotely close to being a cow shape.
Assume an oblate hemispherical cow ...
Who knows; maybe it's a shape that comes up when analyzing particularly low-viscosity breeds, though I find the contact angle unrealistic.
Prompt:
plot an antenna pattern
Response:
To plot an antenna pattern in MATLAB, you can use the `pattern` function. Here's an example code:
```matlab
% Define antenna parameters
lambda = 1; % wavelength
theta = linspace(-pi/2, pi/2, 181); % elevation angles
phi = linspace(0, 2*pi, 361); % azimuth angles
AF = cos(theta); % array factor
% Plot antenna pattern
pattern(AF, lambda, phi, theta)
```
This code defines the antenna parameters, including the wavelength, elevation angles, azimuth angles, and array factor. It then uses the `pattern` function to plot the antenna pattern.
===
the problem with this is that pattern() requires the first parameter to be antenna object | array object | custom antenna | custom array | pcbStack object | installedAntenna object | measuredAntenna object but the generated code is passing in a numeric vector instead. The function that is being invoked is the regular expression pattern generation facility.
Prompt:
is it faster to calculate 5 * ones(1e6,1) or 5 + zeros(1e6,1) ?
Answer:
It is faster to calculate `5 * ones(1e6, 1)` than `5 + zeros(1e6, 1)` in MATLAB. This is because multiplication is a simpler operation than addition, and the `ones` function creates an array of ones that can be multiplied by 5 directly without any additional computation.
Here's an example code to compare the execution time of the two operations:
```matlab
% Time the execution of 5 * ones(1e6, 1)
tic;
A = 5 * ones(1e6, 1);
toc;
% Time the execution of 5 + zeros(1e6, 1)
tic;
B = 5 + zeros(1e6, 1);
toc;
```
This code uses the `tic` and `toc` functions to time the execution of the two operations. You can run this code in MATLAB to see the difference in execution time.
Reality: multiplication is not a simpler operation than addition.
Depending on the Intel processor being used, FADD and FMUL sometimes take the same number of clock cycles -- but FADD typically has lower latency.
The number of each that you can initiate per clock cycle gets strange on some architectures.
Prompt:
is it faster to calculate 5 + ones(1e6,1) or 5 + zeros(1e6,1) ?
Answer:
Yes, it is faster to calculate `5 + ones(1e6, 1)` than `5 + zeros(1e6, 1)` in MATLAB. This is because the `ones` function creates an array of ones, which can be added to 5 directly without any additional computation. On the other hand, the `zeros` function creates an array of zeros, which needs to be added to 5 element-wise, resulting in additional computation.
Here's an example code to compare the execution time of the two operations:
```matlab
% Time the execution of 5 + ones(1e6, 1)
tic;
A = 5 + ones(1e6, 1);
toc;
% Time the execution of 5 + zeros(1e6, 1)
tic;
B = 5 + zeros(1e6, 1);
toc;
```
This code uses the `tic` and `toc` functions to time the execution of the two operations. You can run this code in MATLAB to see the difference in execution time.
The description about "added to 5 directly without any additional computation" is nonsense. The timing code provided shows that the 5+zeros form is notably faster.
Prompt:
write a predatory/prey model between pandas and bamboo
It does something -- but the model seems to be reversed somehow. The lower the growth rate you give for bamboo, the more bamboo grows. If you give a higher growth rate for bamboo then the bamboo gets pretty much wiped out.
(I tagged you in CAB on some feedback I posted recently)
Thanks. It is going to take a lot of feedback to improve, but we are on the right path.
I asked it about wood-chucks and that seems to have broken it for everyone...
Ah, it just needed me to let through yet another cookie.
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