I have written an S-function with a C++ class with static attributes. Given how static variables share a common memory space across instances, if I have multiple copies of the S-function, will changes to the static attributes affect the rest of the S-function instances?

How do I create a separate memory space for each S-Function?I have written an S-function with a C++ class with static attributes. Given how static variables share a common memory space across instances, if I have multiple copies of the S-function, will changes to the static attributes affect the rest of the S-function instances?

How do I create a separate memory space for each S-Function? I have written an S-function with a C++ class with static attributes. Given how static variables share a common memory space across instances, if I have multiple copies of the S-function, will changes to the static attributes affect the rest of the S-function instances?

How do I create a separate memory space for each S-Function? static, attribute, class, cpp, sfunction, workvector MATLAB Answers — New Questions

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How to design an ractrack resonator in matlab for biosensing applicationsHow to design an ractrack resonator in matlab for biosensing applications How to design an ractrack resonator in matlab for biosensing applications integrated photonics MATLAB Answers — New Questions

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I am getting an error as Unexpected matlab expreesion; but i am neither be able to find out which expreesion is wrong and nor be able to resolve this error. Please help me…I am getting an error as Unexpected matlab expreesion; but i am neither be able to find out which expreesion is wrong and nor be able to resolve this error. Please help me… I am getting an error as Unexpected matlab expreesion; but i am neither be able to find out which expreesion is wrong and nor be able to resolve this error. Please help me… unexpected matlab expression MATLAB Answers — New Questions

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Hello, I am trying to use my Individual License file in a MATLAB Docker container but I get the error of ‘hostid of your computer does not match the hostid of your license file’.
I can login to the container by using my email and password but this is NOT ideal since the login session expires after some time and need to relogin again. I want to run this headless so if I can pass in a license file then I don’t have to keep logging in manually.

I downloaded the Individual License file from the online License Center portal Install and Activate tab. This downloaded a license.lic file which I pass into the Docker container.

My Docker run command:
docker run -it –rm -p 5901:5901 -p 6080:6080 -v ~/ivy:/ivy -e MLM_LICENSE_FILE=/ivy/license.lic mathworks/matlab:r2021b -vnc

License error:Hello, I am trying to use my Individual License file in a MATLAB Docker container but I get the error of ‘hostid of your computer does not match the hostid of your license file’.
I can login to the container by using my email and password but this is NOT ideal since the login session expires after some time and need to relogin again. I want to run this headless so if I can pass in a license file then I don’t have to keep logging in manually.

I downloaded the Individual License file from the online License Center portal Install and Activate tab. This downloaded a license.lic file which I pass into the Docker container.

My Docker run command:
docker run -it –rm -p 5901:5901 -p 6080:6080 -v ~/ivy:/ivy -e MLM_LICENSE_FILE=/ivy/license.lic mathworks/matlab:r2021b -vnc

License error: Hello, I am trying to use my Individual License file in a MATLAB Docker container but I get the error of ‘hostid of your computer does not match the hostid of your license file’.
I can login to the container by using my email and password but this is NOT ideal since the login session expires after some time and need to relogin again. I want to run this headless so if I can pass in a license file then I don’t have to keep logging in manually.

I downloaded the Individual License file from the online License Center portal Install and Activate tab. This downloaded a license.lic file which I pass into the Docker container.

My Docker run command:
docker run -it –rm -p 5901:5901 -p 6080:6080 -v ~/ivy:/ivy -e MLM_LICENSE_FILE=/ivy/license.lic mathworks/matlab:r2021b -vnc

License error: docker, license MATLAB Answers — New Questions

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How can I use a previous version of Matlab ? I using Matlab 2022b and I would like to run some script in a previous version 2021a.

ThanksHow can I use a previous version of Matlab ? I using Matlab 2022b and I would like to run some script in a previous version 2021a.

Thanks How can I use a previous version of Matlab ? I using Matlab 2022b and I would like to run some script in a previous version 2021a.

Thanks matlab version MATLAB Answers — New Questions

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How can i encrypt image by xoring?How can i encrypt image by xoring? How can i encrypt image by xoring? af MATLAB Answers — New Questions

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Is it possible to use the AR function in Matlab to train models such as:
y(t+2)=a(1)u(t-1)+a(2)u(t-2)+…+a(p)u(t-p)
rather than:
y(t+1)=a(1)u(t-1)+a(2)u(t-2)+…+a(p)u(t-p)
I want to avoid predicting y(t+2) using y(t+1).
Many thanksIs it possible to use the AR function in Matlab to train models such as:
y(t+2)=a(1)u(t-1)+a(2)u(t-2)+…+a(p)u(t-p)
rather than:
y(t+1)=a(1)u(t-1)+a(2)u(t-2)+…+a(p)u(t-p)
I want to avoid predicting y(t+2) using y(t+1).
Many thanks Is it possible to use the AR function in Matlab to train models such as:
y(t+2)=a(1)u(t-1)+a(2)u(t-2)+…+a(p)u(t-p)
rather than:
y(t+1)=a(1)u(t-1)+a(2)u(t-2)+…+a(p)u(t-p)
I want to avoid predicting y(t+2) using y(t+1).
Many thanks matlab, autoregression MATLAB Answers — New Questions

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Hello!

I’m working on an optimization problem where I need to manage the availability of multiple cores for task execution. My current approach involves finding the earliest available core and updating its availability after assigning a task. However, I’m encountering an issue when trying to update the hapsCoreAvailability array with the new start time and execution time.
the error is
Unable to perform assignment because value of type ‘optim.problemdef.OptimizationExpression’ is not convertible to
‘double’.
Error in Solve_Linear_Problem (line 355)
hapsCoreAvailability(coreIdx) = T_start + execTime;
Caused by:
Error using double
Conversion to double from optim.problemdef.OptimizationExpression is not possible.
here is the code
% Initialize the queue time matrix
Queue_time = optimexpr(N, numNodes, num_vehicles);

% Define variables

T_start = optimvar(‘T_start’, 1, ‘Type’, ‘continuous’, ‘LowerBound’, 0);
% Constraints
Queue_constraints1 = [];
Queue_constraints2 = [];
% Track availability of each HAPS core
hapsCoreAvailability = zeros(1, hapsCapacity);
nodeQueues = cell(numNodes, 1); % Queue times for each node
% Process tasks by generation time
for taskIdx = 1:num_vehicles
for subtaskIdx = 1:N
for nodeIdx = 1:numNodes

% Extract generation time, execution time, and uplink time
taskGenTime = generation_times_matrix(subtaskIdx, nodeIdx, taskIdx);
execTime = Execution_time(subtaskIdx, nodeIdx, taskIdx);
uplinkTime = uplink_time(subtaskIdx, nodeIdx, taskIdx);

% Calculate task arrival time considering uplink time
taskArrivalTime = taskGenTime + uplinkTime;

if nodeIdx == 4 % If assigned to HAPS
% Find the earliest available core
% [earliestCoreTime, coreIdx] = min(hapsCoreAvailability);
coreIdx = -1;
earliestCoreTime = inf;

% Iterate through each core’s availability time
for i = 1:length(hapsCoreAvailability)
% Check if the current core’s availability is earlier than the current earliest time
if hapsCoreAvailability(i) < earliestCoreTime
% Update earliest core time and index
earliestCoreTime = hapsCoreAvailability(i);
coreIdx = i;
end
end

% Start time is the maximum of arrival time and core availability

% T_start should be greater than or equal to both T_arrival and T_core
Queue_constraints1 = [Queue_constraints1, T_start >= taskArrivalTime];
Queue_constraints1 = [Queue_constraints1, T_start >= earliestCoreTime];

Queue_time(subtaskIdx, nodeIdx, taskIdx) = T_start – taskArrivalTime;

% Update the core availability time
hapsCoreAvailability(coreIdx) = T_start + execTime; %% here is the error
else % For UAVs
% Queue tasks based on previous completion
if isempty(nodeQueues{nodeIdx})
startTime = taskArrivalTime;
else
T_queue = nodeQueues{nodeIdx}(end);

% T_start should be greater than or equal to both T_arrival and T_queue
Queue_constraints2 = [Queue_constraints2, T_start >= taskArrivalTime];
Queue_constraints2 = [Queue_constraints2, T_start >= T_queue];

end
% Calculate the queue time for the current subtask
Queue_time(subtaskIdx, nodeIdx, taskIdx) = T_start – taskArrivalTime;
% Update departure time for the current subtask
departureTime = T_start + execTime;
nodeQueues{nodeIdx} = [nodeQueues{nodeIdx}, departureTime];
end
end
end
end

prob.Constraints.queue_time_constraints = Queue_constraints1;
prob.Constraints.queue_time_constraints = Queue_constraints2;
How can I correctly update the hapsCoreAvailability array with the new start time and execution time in the context of my optimization problem? Is there an alternative way to manage and update core availability when dealing with OptimizationExpression objects?
Any advice or suggestions would be greatly appreciated!
Thank you!Hello!

I’m working on an optimization problem where I need to manage the availability of multiple cores for task execution. My current approach involves finding the earliest available core and updating its availability after assigning a task. However, I’m encountering an issue when trying to update the hapsCoreAvailability array with the new start time and execution time.
the error is
Unable to perform assignment because value of type ‘optim.problemdef.OptimizationExpression’ is not convertible to
‘double’.
Error in Solve_Linear_Problem (line 355)
hapsCoreAvailability(coreIdx) = T_start + execTime;
Caused by:
Error using double
Conversion to double from optim.problemdef.OptimizationExpression is not possible.
here is the code
% Initialize the queue time matrix
Queue_time = optimexpr(N, numNodes, num_vehicles);

% Define variables

T_start = optimvar(‘T_start’, 1, ‘Type’, ‘continuous’, ‘LowerBound’, 0);
% Constraints
Queue_constraints1 = [];
Queue_constraints2 = [];
% Track availability of each HAPS core
hapsCoreAvailability = zeros(1, hapsCapacity);
nodeQueues = cell(numNodes, 1); % Queue times for each node
% Process tasks by generation time
for taskIdx = 1:num_vehicles
for subtaskIdx = 1:N
for nodeIdx = 1:numNodes

% Extract generation time, execution time, and uplink time
taskGenTime = generation_times_matrix(subtaskIdx, nodeIdx, taskIdx);
execTime = Execution_time(subtaskIdx, nodeIdx, taskIdx);
uplinkTime = uplink_time(subtaskIdx, nodeIdx, taskIdx);

% Calculate task arrival time considering uplink time
taskArrivalTime = taskGenTime + uplinkTime;

if nodeIdx == 4 % If assigned to HAPS
% Find the earliest available core
% [earliestCoreTime, coreIdx] = min(hapsCoreAvailability);
coreIdx = -1;
earliestCoreTime = inf;

% Iterate through each core’s availability time
for i = 1:length(hapsCoreAvailability)
% Check if the current core’s availability is earlier than the current earliest time
if hapsCoreAvailability(i) < earliestCoreTime
% Update earliest core time and index
earliestCoreTime = hapsCoreAvailability(i);
coreIdx = i;
end
end

% Start time is the maximum of arrival time and core availability

% T_start should be greater than or equal to both T_arrival and T_core
Queue_constraints1 = [Queue_constraints1, T_start >= taskArrivalTime];
Queue_constraints1 = [Queue_constraints1, T_start >= earliestCoreTime];

Queue_time(subtaskIdx, nodeIdx, taskIdx) = T_start – taskArrivalTime;

% Update the core availability time
hapsCoreAvailability(coreIdx) = T_start + execTime; %% here is the error
else % For UAVs
% Queue tasks based on previous completion
if isempty(nodeQueues{nodeIdx})
startTime = taskArrivalTime;
else
T_queue = nodeQueues{nodeIdx}(end);

% T_start should be greater than or equal to both T_arrival and T_queue
Queue_constraints2 = [Queue_constraints2, T_start >= taskArrivalTime];
Queue_constraints2 = [Queue_constraints2, T_start >= T_queue];

end
% Calculate the queue time for the current subtask
Queue_time(subtaskIdx, nodeIdx, taskIdx) = T_start – taskArrivalTime;
% Update departure time for the current subtask
departureTime = T_start + execTime;
nodeQueues{nodeIdx} = [nodeQueues{nodeIdx}, departureTime];
end
end
end
end

prob.Constraints.queue_time_constraints = Queue_constraints1;
prob.Constraints.queue_time_constraints = Queue_constraints2;
How can I correctly update the hapsCoreAvailability array with the new start time and execution time in the context of my optimization problem? Is there an alternative way to manage and update core availability when dealing with OptimizationExpression objects?
Any advice or suggestions would be greatly appreciated!
Thank you! Hello!

I’m working on an optimization problem where I need to manage the availability of multiple cores for task execution. My current approach involves finding the earliest available core and updating its availability after assigning a task. However, I’m encountering an issue when trying to update the hapsCoreAvailability array with the new start time and execution time.
the error is
Unable to perform assignment because value of type ‘optim.problemdef.OptimizationExpression’ is not convertible to
‘double’.
Error in Solve_Linear_Problem (line 355)
hapsCoreAvailability(coreIdx) = T_start + execTime;
Caused by:
Error using double
Conversion to double from optim.problemdef.OptimizationExpression is not possible.
here is the code
% Initialize the queue time matrix
Queue_time = optimexpr(N, numNodes, num_vehicles);

% Define variables

T_start = optimvar(‘T_start’, 1, ‘Type’, ‘continuous’, ‘LowerBound’, 0);
% Constraints
Queue_constraints1 = [];
Queue_constraints2 = [];
% Track availability of each HAPS core
hapsCoreAvailability = zeros(1, hapsCapacity);
nodeQueues = cell(numNodes, 1); % Queue times for each node
% Process tasks by generation time
for taskIdx = 1:num_vehicles
for subtaskIdx = 1:N
for nodeIdx = 1:numNodes

% Extract generation time, execution time, and uplink time
taskGenTime = generation_times_matrix(subtaskIdx, nodeIdx, taskIdx);
execTime = Execution_time(subtaskIdx, nodeIdx, taskIdx);
uplinkTime = uplink_time(subtaskIdx, nodeIdx, taskIdx);

% Calculate task arrival time considering uplink time
taskArrivalTime = taskGenTime + uplinkTime;

if nodeIdx == 4 % If assigned to HAPS
% Find the earliest available core
% [earliestCoreTime, coreIdx] = min(hapsCoreAvailability);
coreIdx = -1;
earliestCoreTime = inf;

% Iterate through each core’s availability time
for i = 1:length(hapsCoreAvailability)
% Check if the current core’s availability is earlier than the current earliest time
if hapsCoreAvailability(i) < earliestCoreTime
% Update earliest core time and index
earliestCoreTime = hapsCoreAvailability(i);
coreIdx = i;
end
end

% Start time is the maximum of arrival time and core availability

% T_start should be greater than or equal to both T_arrival and T_core
Queue_constraints1 = [Queue_constraints1, T_start >= taskArrivalTime];
Queue_constraints1 = [Queue_constraints1, T_start >= earliestCoreTime];

Queue_time(subtaskIdx, nodeIdx, taskIdx) = T_start – taskArrivalTime;

% Update the core availability time
hapsCoreAvailability(coreIdx) = T_start + execTime; %% here is the error
else % For UAVs
% Queue tasks based on previous completion
if isempty(nodeQueues{nodeIdx})
startTime = taskArrivalTime;
else
T_queue = nodeQueues{nodeIdx}(end);

% T_start should be greater than or equal to both T_arrival and T_queue
Queue_constraints2 = [Queue_constraints2, T_start >= taskArrivalTime];
Queue_constraints2 = [Queue_constraints2, T_start >= T_queue];

end
% Calculate the queue time for the current subtask
Queue_time(subtaskIdx, nodeIdx, taskIdx) = T_start – taskArrivalTime;
% Update departure time for the current subtask
departureTime = T_start + execTime;
nodeQueues{nodeIdx} = [nodeQueues{nodeIdx}, departureTime];
end
end
end
end

prob.Constraints.queue_time_constraints = Queue_constraints1;
prob.Constraints.queue_time_constraints = Queue_constraints2;
How can I correctly update the hapsCoreAvailability array with the new start time and execution time in the context of my optimization problem? Is there an alternative way to manage and update core availability when dealing with OptimizationExpression objects?
Any advice or suggestions would be greatly appreciated!
Thank you! optimization, multiple cores, parallel processing MATLAB Answers — New Questions

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As per title. What license do I need to use MatLab for youtube videos? What happens if I make money (in the longterm) from those videos?As per title. What license do I need to use MatLab for youtube videos? What happens if I make money (in the longterm) from those videos? As per title. What license do I need to use MatLab for youtube videos? What happens if I make money (in the longterm) from those videos? matlab, simulink, license MATLAB Answers — New Questions

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In the attached app, there are 2 sliders for "set range low" and "set range high" which are used to change the scale of hte colorbar. The goal of doing this artifcats in the image.

Anything outside of the range of the colorbar is highlighted with the imdilate function in the mask which is then displayed as a replacement to the orignal image

When we click the buttons for "set range low" and "set range high", it should change the values of the image array so that anything outisde of the high and low limits is set to the actual high or low limit itself.
This seems to work, the problem is that the mask does not seem to reset. So after you click the buttons to "set the range low" in the image, if you go back to the slider and go outside of hte orignal range, there are still values that show up.

Im not sure what is going on, it seems to work ok in the matlab but not the application designer. Been stuck on this for an embarassing amount of time and could use a hand. thank you.

maxvalue = app.Sliderhigh.Value;
minvalue = app.Sliderlow.Value;
app.highEditField.Value = num2str(maxvalue);
app.lowEditField.Value= num2str(minvalue);
c = colorbar(app.UIAxes);
app.UIAxes.CLim = [minvalue maxvalue];

maska= app.a >maxvalue | app.a <minvalue ;
maskc = imdilate(maska,strel(‘disk’,25,0));
imagesc(maxvalue*maskc,’Parent’,app.UIAxes)In the attached app, there are 2 sliders for "set range low" and "set range high" which are used to change the scale of hte colorbar. The goal of doing this artifcats in the image.

Anything outside of the range of the colorbar is highlighted with the imdilate function in the mask which is then displayed as a replacement to the orignal image

When we click the buttons for "set range low" and "set range high", it should change the values of the image array so that anything outisde of the high and low limits is set to the actual high or low limit itself.
This seems to work, the problem is that the mask does not seem to reset. So after you click the buttons to "set the range low" in the image, if you go back to the slider and go outside of hte orignal range, there are still values that show up.

Im not sure what is going on, it seems to work ok in the matlab but not the application designer. Been stuck on this for an embarassing amount of time and could use a hand. thank you.

maxvalue = app.Sliderhigh.Value;
minvalue = app.Sliderlow.Value;
app.highEditField.Value = num2str(maxvalue);
app.lowEditField.Value= num2str(minvalue);
c = colorbar(app.UIAxes);
app.UIAxes.CLim = [minvalue maxvalue];

maska= app.a >maxvalue | app.a <minvalue ;
maskc = imdilate(maska,strel(‘disk’,25,0));
imagesc(maxvalue*maskc,’Parent’,app.UIAxes) In the attached app, there are 2 sliders for "set range low" and "set range high" which are used to change the scale of hte colorbar. The goal of doing this artifcats in the image.

Anything outside of the range of the colorbar is highlighted with the imdilate function in the mask which is then displayed as a replacement to the orignal image

When we click the buttons for "set range low" and "set range high", it should change the values of the image array so that anything outisde of the high and low limits is set to the actual high or low limit itself.
This seems to work, the problem is that the mask does not seem to reset. So after you click the buttons to "set the range low" in the image, if you go back to the slider and go outside of hte orignal range, there are still values that show up.

Im not sure what is going on, it seems to work ok in the matlab but not the application designer. Been stuck on this for an embarassing amount of time and could use a hand. thank you.

maxvalue = app.Sliderhigh.Value;
minvalue = app.Sliderlow.Value;
app.highEditField.Value = num2str(maxvalue);
app.lowEditField.Value= num2str(minvalue);
c = colorbar(app.UIAxes);
app.UIAxes.CLim = [minvalue maxvalue];

maska= app.a >maxvalue | app.a <minvalue ;
maskc = imdilate(maska,strel(‘disk’,25,0));
imagesc(maxvalue*maskc,’Parent’,app.UIAxes) application designer, mask MATLAB Answers — New Questions

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