About Matlab r2020a online

Hi all,

I am doing a course on MATLAB/Simulink by Udemy but unfortunately I am having an error in setup of MATLAB r2020a on my laptop. I wanna know if can use MATLAB r2020a online to continue my course?

[Paul Edson]

Boa tarde, Eu preciso um setup Matlab r2020a por favor. Quiem Pode me ajudar?

[Walter Roberson]

@Paul Edson

You need to visit https://www.mathworks.com/downloads/ .

If you have a license that is eligible for downloading, then on the left hand side there will be a "Select Release" . You might need to click on "Show More" to have R2020a show up in the list. If it does not show up then you are not eligible to download R2020a. Once you have clicked on R2020a, a download link will appear in the center of the page.

[Samarth]

MATLAB r2020a cannot be used online. MATLAB online always runs the latest release provided by mathwork older version like r2020a are not available through MATLAB online.

Answer 1

[Cris LaPierre]

Not sure we can answer your question without knowing what is in the course and whether or not you have access to MATLAB Online. You can contact MathWorks support for installation help.

[Walter Roberson]

note that MATLAB Online currently runs R2020b

[Shimelis Shewa]

function submit()

addpath('./lib');

conf.assignmentKey = 'UkTlA-FyRRKV5ooohuwU6A';

conf.itemName = 'Linear Regression with Multiple Variables';

conf.partArrays = { ...

{ ...

'DCRbJ', ...

{ 'warmUpExercise.m' }, ...

'Warm-up Exercise', ...

}, ...

{ ...

'BGa4S', ...

{ 'computeCost.m' }, ...

'Computing Cost (for One Variable)', ...

}, ...

{ ...

'b65eO', ...

{ 'gradientDescent.m' }, ...

'Gradient Descent (for One Variable)', ...

}, ...

{ ...

'BbS8u', ...

{ 'featureNormalize.m' }, ...

'Feature Normalization', ...

}, ...

{ ...

'FBlE2', ...

{ 'computeCostMulti.m' }, ...

'Computing Cost (for Multiple Variables)', ...

}, ...

{ ...

'RZAZC', ...

{ 'gradientDescentMulti.m' }, ...

'Gradient Descent (for Multiple Variables)', ...

}, ...

{ ...

'7m5Eu', ...

{ 'normalEqn.m' }, ...

'Normal Equations', ...

}, ...

};

conf.output = @output;

submitWithConfiguration(conf);

end

function out = output(partId)

% Random Test Cases

X1 = [ones(20,1) (exp(1) + exp(2) * (0.1:0.1:2))'];

Y1 = X1(:,2) + sin(X1(:,1)) + cos(X1(:,2));

X2 = [X1 X1(:,2).^0.5 X1(:,2).^0.25];

Y2 = Y1.^0.5 + Y1;

if partId == 'DCRbJ'

out = sprintf('%0.5f ', warmUpExercise());

elseif partId == 'BGa4S'

out = sprintf('%0.5f ', computeCost(X1, Y1, [0.5 -0.5]'));

elseif partId == 'b65eO'

out = sprintf('%0.5f ', gradientDescent(X1, Y1, [0.5 -0.5]', 0.01, 10));

elseif partId == 'BbS8u'

out = sprintf('%0.5f ', featureNormalize(X2(:,2:4)));

elseif partId == 'FBlE2'

out = sprintf('%0.5f ', computeCostMulti(X2, Y2, [0.1 0.2 0.3 0.4]'));

elseif partId == 'RZAZC'

out = sprintf('%0.5f ', gradientDescentMulti(X2, Y2, [-0.1 -0.2 -0.3 -0.4]', 0.01, 10));

elseif partId == '7m5Eu'

out = sprintf('%0.5f ', normalEqn(X2, Y2));

end

end

[Shimelis Shewa]

if you can check line 45(bold) files upto end

[Cris LaPierre]

You should be asking your course instructor and TAs via the support forums in your course.

Answer 2

[Shimelis Shewa]

yeap

due to machine learning detail to tudays