I am attempting to run MATLAB on my virtual machine. When I do so, however, MATLAB crashes with references to "vm3dgl64.dll" in the stack trace, such as the snippets below:

[ 2] 0x00007ffd5899e3fe C:Program FilesMATLABR2024abinwin64libmwfl.dll+00058366

[ 5] 0x00007ffd3fd2c5bf C:Program FilesMATLABR2024abinwin64jmi.dll+00705983

[ 6] 0x00000000583a9ead C:Program FilesMATLABR2024asysjavajrewin64jrebinserverjvm.dll+02727597

[ 11] 0x00007ffe1da848ff C:windowsSYSTEM32ntdll.dll+00674047

[ 14] 0x00007ffdca59696d C:windowsSYSTEM32vm3dgl64.dll+14903661

[ 39] 0x00007ffdea4411f0 C:windowssystem32opengl32.dll+00135664
I am using Windows Server on my VMWare virtual machine, and am attempting to run MATLAB R2022b. What can I do to resolve this issue?I am attempting to run MATLAB on my virtual machine. When I do so, however, MATLAB crashes with references to "vm3dgl64.dll" in the stack trace, such as the snippets below:

[ 2] 0x00007ffd5899e3fe C:Program FilesMATLABR2024abinwin64libmwfl.dll+00058366

[ 5] 0x00007ffd3fd2c5bf C:Program FilesMATLABR2024abinwin64jmi.dll+00705983

[ 6] 0x00000000583a9ead C:Program FilesMATLABR2024asysjavajrewin64jrebinserverjvm.dll+02727597

[ 11] 0x00007ffe1da848ff C:windowsSYSTEM32ntdll.dll+00674047

[ 14] 0x00007ffdca59696d C:windowsSYSTEM32vm3dgl64.dll+14903661

[ 39] 0x00007ffdea4411f0 C:windowssystem32opengl32.dll+00135664
I am using Windows Server on my VMWare virtual machine, and am attempting to run MATLAB R2022b. What can I do to resolve this issue? I am attempting to run MATLAB on my virtual machine. When I do so, however, MATLAB crashes with references to "vm3dgl64.dll" in the stack trace, such as the snippets below:

[ 2] 0x00007ffd5899e3fe C:Program FilesMATLABR2024abinwin64libmwfl.dll+00058366

[ 5] 0x00007ffd3fd2c5bf C:Program FilesMATLABR2024abinwin64jmi.dll+00705983

[ 6] 0x00000000583a9ead C:Program FilesMATLABR2024asysjavajrewin64jrebinserverjvm.dll+02727597

[ 11] 0x00007ffe1da848ff C:windowsSYSTEM32ntdll.dll+00674047

[ 14] 0x00007ffdca59696d C:windowsSYSTEM32vm3dgl64.dll+14903661

[ 39] 0x00007ffdea4411f0 C:windowssystem32opengl32.dll+00135664
I am using Windows Server on my VMWare virtual machine, and am attempting to run MATLAB R2022b. What can I do to resolve this issue? vm, vm3dgl64.dll, graphics, driver MATLAB Answers — New Questions

​

Hi. I am calculating the energy shifts in the Cs-133 atom due to external magnetic fields by the Zeeman effect (my code is attached). For the ground state and the D1 line I have no problem, the code works fine, the plots give as the D. Steck paper. However, when I try to do it for the D2 line, it seems that the lines of different colors are mixed, which gives incorrect results, as seen in the attached image.

In the code, I construct the Hamiltonian for each magnetic field value and diagonalize the Hamiltonian. One way I got it to work is to diagonalize the Hamiltonian symbolically and then substitute the magnetic field values. However, this method takes too long, and when I tried to add the octupolar term, it does not work. I think it is a problem in the order of the eigenvalues, but I have not been able to solve it. If someone could help me, I would be eternally grateful.
This is the result I obtain.

This is the result of the reference document. In this case, the lines of different colors are not mixed.

The reference document is attached below.
Cesium D Line Data
clc
clear variables
close all

tic

%% Constants definition

line = ‘D2’; % [Ground D1 D2]
I = 7/2; % Nuclear spin
g_I = -0.00039885395; % Nuclear g-factor
J = [1/2 3/2]; % Total angular momentum
g_J = [2.002540261 0.665900 1.33408749]; % Fine structure g-factor
mu_B = (9.27400899E-24)*1E-4; % Bohr Magneton (J/G)
hbar = 1.054E-34; % Reduced Planck’s constant (Js)
Ahfs = 2*pi*hbar*[2.2981579425E9 291.9201E6 50.28827E6]; % Magnetic Dipole Constant
Bhfs = -2*pi*hbar*0.4934E6; % Electric Quadrupole Constant 5^2 P_3/2
Chfs = 2*pi*hbar*0.560E3; % Magnetic Octupole Constant 6^2 P_3/D2
Folder = pwd;

switch line
case ‘Ground’
A = Ahfs(1);
J = J(1); % Total angular momentum
g_J = g_J(1);
BF = linspace(0,15000,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{S}_{1/2}$’;
yl = ‘$E/h$ (GHz)’;
Amp = 1E-9;
yy = [-26 26];
str = ‘Ground state’;
case ‘D1’
A = Ahfs(2);
J = J(1); % Total angular momentum
g_J = g_J(2);
BF = linspace(0,5000,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{P}_{1/2}$’;
yl = ‘$E/h$ (GHz)’;
Amp = 1E-9;
yy = [-2.5 2.5];
str = ‘D1 line’;
case ‘D2’
A = Ahfs(3);
J = J(2); % Total angular momentum
g_J = g_J(3);
BF = linspace(0,500,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{P}_{3/2}$’;
yl = ‘$E/h$ (MHz)’;
Amp = 1E-6;
yy = [-1500 1500];
str = ‘D2 line’;
otherwise
error(‘Unexpected value of state.’);
end

%%

% Get the spin operator matrices for I and J

[SxI, SyI, SzI] = espin(I);
[SxJ, SyJ, SzJ] = espin(J);

% Construct the spin operators, defined as the tensor product of the spin matrices S(I) and S(J) with
% indetity matrices 1(I) and 1(J)

Ix = kron(SxI, id(J));
Iy = kron(SyI, id(J));
Iz = kron(SzI, id(J));
Jx = kron(id(I), SxJ);
Jy = kron(id(I), SyJ);
Jz = kron(id(I), SzJ);

F_values = abs(I-J):(I+J);
degeneracies = 2*F_values + 1; % Degeneracies for each F value

%% We diagonalize the Hamiltonian symbolically and then evaluate the eigenvalues in terms of the external magnetic field
energies = zeros(length(BF), (2*I+1)*(2*J+1)); % Preallocate energy array

% Check the value of J before entering the loop
if J == 1/2
% Construct Hamiltonian for J = 1/2
HZeemanBase = A*(Ix*Jx + Iy*Jy + Iz*Jz) + …
mu_B*BF(1)*(g_I*Iz + g_J*Jz); % Use BF(1) just as a placeholder for the structure
elseif J == 3/2
% Construct Hamiltonian for J = 3/2
HZeemanBase = A*(Ix*Jx + Iy*Jy + Iz*Jz) + …
mu_B*BF(1)*(g_I*Iz + g_J*Jz) + …
(Bhfs/(2*I*(2*I-1)*J*(2*J-1)))*( 3*(Ix*Jx + Iy*Jy + Iz*Jz).^2 + (3/2)*(Ix*Jx + Iy*Jy + Iz*Jz) – (Ix.^2 + Iy.^2 + Iz.^2)*(Jx.^2 + Jy.^2 + Jz.^2) );
end

for j = 1:length(BF)
% Modify the Hamiltonian for each BF(j)
HZeeman = HZeemanBase;
% Update the Zeeman term for the current magnetic field strength
HZeeman = (Amp/(2*pi*hbar))*(HZeeman + mu_B*BF(j)*(g_I*Iz + g_J*Jz));

% Diagonalize the Hamiltonian
[eigenvectors, eigenvalues] = eig(HZeeman);

% Store the eigenvalues (energies)
energies(j, 🙂 = sort(diag(real(eigenvalues))); % Sort energies for clarity
end

% Plot levels for each F group with different colors
colors = {‘r’, ‘b’, ‘g’, ‘m’, ‘k’}; % Colors for each F group
level_start = 1; % Start index for each F group
legend_handles = []; % Store plot handles for the legend

Fig = figure;
hold on;
for f_idx = 1:length(F_values)
num_levels_in_group = degeneracies(f_idx); % Number of levels for this F
level_end = level_start + num_levels_in_group – 1; % End index for this F
h = plot(BF, energies(:, level_start:level_end), ‘LineWidth’,2, ‘Color’, colors{f_idx});
legend_handles = [legend_handles, h(1)]; % Store one handle per group
level_start = level_end + 1; % Update start index for the next F group
end

set(gca, ‘xminortick’, ‘on’, ‘TickLabelInterpreter’,’latex’,’fontsize’,18);
set(gca, ‘yminortick’, ‘on’, ‘TickLabelInterpreter’,’latex’,’fontsize’,18);
xlabel(‘$|B|$ (G)’, ‘Interpreter’, ‘latex’, ‘Fontsize’, 20);
ylabel(yl, ‘Interpreter’, ‘latex’,’Fontsize’, 20);
ylim(yy);
title(titleg,’Interpreter’, ‘latex’, ‘Fontsize’, 22);
legend_labels = arrayfun(@(f) sprintf(‘$F = %.0f$’, f), F_values, ‘UniformOutput’, false);
legend(legend_handles, legend_labels, ‘Interpreter’, ‘latex’, ‘Location’, ‘northwest’);
box on;
hold off;
Filename = sprintf(‘%s/Zeeman splitting %s.png’, Folder, str);
print(Fig, Filename, ‘-dpng’, ‘-r300’);

tocHi. I am calculating the energy shifts in the Cs-133 atom due to external magnetic fields by the Zeeman effect (my code is attached). For the ground state and the D1 line I have no problem, the code works fine, the plots give as the D. Steck paper. However, when I try to do it for the D2 line, it seems that the lines of different colors are mixed, which gives incorrect results, as seen in the attached image.

In the code, I construct the Hamiltonian for each magnetic field value and diagonalize the Hamiltonian. One way I got it to work is to diagonalize the Hamiltonian symbolically and then substitute the magnetic field values. However, this method takes too long, and when I tried to add the octupolar term, it does not work. I think it is a problem in the order of the eigenvalues, but I have not been able to solve it. If someone could help me, I would be eternally grateful.
This is the result I obtain.

This is the result of the reference document. In this case, the lines of different colors are not mixed.

The reference document is attached below.
Cesium D Line Data
clc
clear variables
close all

tic

%% Constants definition

line = ‘D2’; % [Ground D1 D2]
I = 7/2; % Nuclear spin
g_I = -0.00039885395; % Nuclear g-factor
J = [1/2 3/2]; % Total angular momentum
g_J = [2.002540261 0.665900 1.33408749]; % Fine structure g-factor
mu_B = (9.27400899E-24)*1E-4; % Bohr Magneton (J/G)
hbar = 1.054E-34; % Reduced Planck’s constant (Js)
Ahfs = 2*pi*hbar*[2.2981579425E9 291.9201E6 50.28827E6]; % Magnetic Dipole Constant
Bhfs = -2*pi*hbar*0.4934E6; % Electric Quadrupole Constant 5^2 P_3/2
Chfs = 2*pi*hbar*0.560E3; % Magnetic Octupole Constant 6^2 P_3/D2
Folder = pwd;

switch line
case ‘Ground’
A = Ahfs(1);
J = J(1); % Total angular momentum
g_J = g_J(1);
BF = linspace(0,15000,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{S}_{1/2}$’;
yl = ‘$E/h$ (GHz)’;
Amp = 1E-9;
yy = [-26 26];
str = ‘Ground state’;
case ‘D1’
A = Ahfs(2);
J = J(1); % Total angular momentum
g_J = g_J(2);
BF = linspace(0,5000,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{P}_{1/2}$’;
yl = ‘$E/h$ (GHz)’;
Amp = 1E-9;
yy = [-2.5 2.5];
str = ‘D1 line’;
case ‘D2’
A = Ahfs(3);
J = J(2); % Total angular momentum
g_J = g_J(3);
BF = linspace(0,500,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{P}_{3/2}$’;
yl = ‘$E/h$ (MHz)’;
Amp = 1E-6;
yy = [-1500 1500];
str = ‘D2 line’;
otherwise
error(‘Unexpected value of state.’);
end

%%

% Get the spin operator matrices for I and J

[SxI, SyI, SzI] = espin(I);
[SxJ, SyJ, SzJ] = espin(J);

% Construct the spin operators, defined as the tensor product of the spin matrices S(I) and S(J) with
% indetity matrices 1(I) and 1(J)

Ix = kron(SxI, id(J));
Iy = kron(SyI, id(J));
Iz = kron(SzI, id(J));
Jx = kron(id(I), SxJ);
Jy = kron(id(I), SyJ);
Jz = kron(id(I), SzJ);

F_values = abs(I-J):(I+J);
degeneracies = 2*F_values + 1; % Degeneracies for each F value

%% We diagonalize the Hamiltonian symbolically and then evaluate the eigenvalues in terms of the external magnetic field
energies = zeros(length(BF), (2*I+1)*(2*J+1)); % Preallocate energy array

% Check the value of J before entering the loop
if J == 1/2
% Construct Hamiltonian for J = 1/2
HZeemanBase = A*(Ix*Jx + Iy*Jy + Iz*Jz) + …
mu_B*BF(1)*(g_I*Iz + g_J*Jz); % Use BF(1) just as a placeholder for the structure
elseif J == 3/2
% Construct Hamiltonian for J = 3/2
HZeemanBase = A*(Ix*Jx + Iy*Jy + Iz*Jz) + …
mu_B*BF(1)*(g_I*Iz + g_J*Jz) + …
(Bhfs/(2*I*(2*I-1)*J*(2*J-1)))*( 3*(Ix*Jx + Iy*Jy + Iz*Jz).^2 + (3/2)*(Ix*Jx + Iy*Jy + Iz*Jz) – (Ix.^2 + Iy.^2 + Iz.^2)*(Jx.^2 + Jy.^2 + Jz.^2) );
end

for j = 1:length(BF)
% Modify the Hamiltonian for each BF(j)
HZeeman = HZeemanBase;
% Update the Zeeman term for the current magnetic field strength
HZeeman = (Amp/(2*pi*hbar))*(HZeeman + mu_B*BF(j)*(g_I*Iz + g_J*Jz));

% Diagonalize the Hamiltonian
[eigenvectors, eigenvalues] = eig(HZeeman);

% Store the eigenvalues (energies)
energies(j, 🙂 = sort(diag(real(eigenvalues))); % Sort energies for clarity
end

% Plot levels for each F group with different colors
colors = {‘r’, ‘b’, ‘g’, ‘m’, ‘k’}; % Colors for each F group
level_start = 1; % Start index for each F group
legend_handles = []; % Store plot handles for the legend

Fig = figure;
hold on;
for f_idx = 1:length(F_values)
num_levels_in_group = degeneracies(f_idx); % Number of levels for this F
level_end = level_start + num_levels_in_group – 1; % End index for this F
h = plot(BF, energies(:, level_start:level_end), ‘LineWidth’,2, ‘Color’, colors{f_idx});
legend_handles = [legend_handles, h(1)]; % Store one handle per group
level_start = level_end + 1; % Update start index for the next F group
end

set(gca, ‘xminortick’, ‘on’, ‘TickLabelInterpreter’,’latex’,’fontsize’,18);
set(gca, ‘yminortick’, ‘on’, ‘TickLabelInterpreter’,’latex’,’fontsize’,18);
xlabel(‘$|B|$ (G)’, ‘Interpreter’, ‘latex’, ‘Fontsize’, 20);
ylabel(yl, ‘Interpreter’, ‘latex’,’Fontsize’, 20);
ylim(yy);
title(titleg,’Interpreter’, ‘latex’, ‘Fontsize’, 22);
legend_labels = arrayfun(@(f) sprintf(‘$F = %.0f$’, f), F_values, ‘UniformOutput’, false);
legend(legend_handles, legend_labels, ‘Interpreter’, ‘latex’, ‘Location’, ‘northwest’);
box on;
hold off;
Filename = sprintf(‘%s/Zeeman splitting %s.png’, Folder, str);
print(Fig, Filename, ‘-dpng’, ‘-r300’);

toc Hi. I am calculating the energy shifts in the Cs-133 atom due to external magnetic fields by the Zeeman effect (my code is attached). For the ground state and the D1 line I have no problem, the code works fine, the plots give as the D. Steck paper. However, when I try to do it for the D2 line, it seems that the lines of different colors are mixed, which gives incorrect results, as seen in the attached image.

In the code, I construct the Hamiltonian for each magnetic field value and diagonalize the Hamiltonian. One way I got it to work is to diagonalize the Hamiltonian symbolically and then substitute the magnetic field values. However, this method takes too long, and when I tried to add the octupolar term, it does not work. I think it is a problem in the order of the eigenvalues, but I have not been able to solve it. If someone could help me, I would be eternally grateful.
This is the result I obtain.

This is the result of the reference document. In this case, the lines of different colors are not mixed.

The reference document is attached below.
Cesium D Line Data
clc
clear variables
close all

tic

%% Constants definition

line = ‘D2’; % [Ground D1 D2]
I = 7/2; % Nuclear spin
g_I = -0.00039885395; % Nuclear g-factor
J = [1/2 3/2]; % Total angular momentum
g_J = [2.002540261 0.665900 1.33408749]; % Fine structure g-factor
mu_B = (9.27400899E-24)*1E-4; % Bohr Magneton (J/G)
hbar = 1.054E-34; % Reduced Planck’s constant (Js)
Ahfs = 2*pi*hbar*[2.2981579425E9 291.9201E6 50.28827E6]; % Magnetic Dipole Constant
Bhfs = -2*pi*hbar*0.4934E6; % Electric Quadrupole Constant 5^2 P_3/2
Chfs = 2*pi*hbar*0.560E3; % Magnetic Octupole Constant 6^2 P_3/D2
Folder = pwd;

switch line
case ‘Ground’
A = Ahfs(1);
J = J(1); % Total angular momentum
g_J = g_J(1);
BF = linspace(0,15000,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{S}_{1/2}$’;
yl = ‘$E/h$ (GHz)’;
Amp = 1E-9;
yy = [-26 26];
str = ‘Ground state’;
case ‘D1’
A = Ahfs(2);
J = J(1); % Total angular momentum
g_J = g_J(2);
BF = linspace(0,5000,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{P}_{1/2}$’;
yl = ‘$E/h$ (GHz)’;
Amp = 1E-9;
yy = [-2.5 2.5];
str = ‘D1 line’;
case ‘D2’
A = Ahfs(3);
J = J(2); % Total angular momentum
g_J = g_J(3);
BF = linspace(0,500,1000); % Magnetic field vector (G)
titleg = ‘$ ^{133}mathrm{Cs} , , , 6^2 mathrm{P}_{3/2}$’;
yl = ‘$E/h$ (MHz)’;
Amp = 1E-6;
yy = [-1500 1500];
str = ‘D2 line’;
otherwise
error(‘Unexpected value of state.’);
end

%%

% Get the spin operator matrices for I and J

[SxI, SyI, SzI] = espin(I);
[SxJ, SyJ, SzJ] = espin(J);

% Construct the spin operators, defined as the tensor product of the spin matrices S(I) and S(J) with
% indetity matrices 1(I) and 1(J)

Ix = kron(SxI, id(J));
Iy = kron(SyI, id(J));
Iz = kron(SzI, id(J));
Jx = kron(id(I), SxJ);
Jy = kron(id(I), SyJ);
Jz = kron(id(I), SzJ);

F_values = abs(I-J):(I+J);
degeneracies = 2*F_values + 1; % Degeneracies for each F value

%% We diagonalize the Hamiltonian symbolically and then evaluate the eigenvalues in terms of the external magnetic field
energies = zeros(length(BF), (2*I+1)*(2*J+1)); % Preallocate energy array

% Check the value of J before entering the loop
if J == 1/2
% Construct Hamiltonian for J = 1/2
HZeemanBase = A*(Ix*Jx + Iy*Jy + Iz*Jz) + …
mu_B*BF(1)*(g_I*Iz + g_J*Jz); % Use BF(1) just as a placeholder for the structure
elseif J == 3/2
% Construct Hamiltonian for J = 3/2
HZeemanBase = A*(Ix*Jx + Iy*Jy + Iz*Jz) + …
mu_B*BF(1)*(g_I*Iz + g_J*Jz) + …
(Bhfs/(2*I*(2*I-1)*J*(2*J-1)))*( 3*(Ix*Jx + Iy*Jy + Iz*Jz).^2 + (3/2)*(Ix*Jx + Iy*Jy + Iz*Jz) – (Ix.^2 + Iy.^2 + Iz.^2)*(Jx.^2 + Jy.^2 + Jz.^2) );
end

for j = 1:length(BF)
% Modify the Hamiltonian for each BF(j)
HZeeman = HZeemanBase;
% Update the Zeeman term for the current magnetic field strength
HZeeman = (Amp/(2*pi*hbar))*(HZeeman + mu_B*BF(j)*(g_I*Iz + g_J*Jz));

% Diagonalize the Hamiltonian
[eigenvectors, eigenvalues] = eig(HZeeman);

% Store the eigenvalues (energies)
energies(j, 🙂 = sort(diag(real(eigenvalues))); % Sort energies for clarity
end

% Plot levels for each F group with different colors
colors = {‘r’, ‘b’, ‘g’, ‘m’, ‘k’}; % Colors for each F group
level_start = 1; % Start index for each F group
legend_handles = []; % Store plot handles for the legend

Fig = figure;
hold on;
for f_idx = 1:length(F_values)
num_levels_in_group = degeneracies(f_idx); % Number of levels for this F
level_end = level_start + num_levels_in_group – 1; % End index for this F
h = plot(BF, energies(:, level_start:level_end), ‘LineWidth’,2, ‘Color’, colors{f_idx});
legend_handles = [legend_handles, h(1)]; % Store one handle per group
level_start = level_end + 1; % Update start index for the next F group
end

set(gca, ‘xminortick’, ‘on’, ‘TickLabelInterpreter’,’latex’,’fontsize’,18);
set(gca, ‘yminortick’, ‘on’, ‘TickLabelInterpreter’,’latex’,’fontsize’,18);
xlabel(‘$|B|$ (G)’, ‘Interpreter’, ‘latex’, ‘Fontsize’, 20);
ylabel(yl, ‘Interpreter’, ‘latex’,’Fontsize’, 20);
ylim(yy);
title(titleg,’Interpreter’, ‘latex’, ‘Fontsize’, 22);
legend_labels = arrayfun(@(f) sprintf(‘$F = %.0f$’, f), F_values, ‘UniformOutput’, false);
legend(legend_handles, legend_labels, ‘Interpreter’, ‘latex’, ‘Location’, ‘northwest’);
box on;
hold off;
Filename = sprintf(‘%s/Zeeman splitting %s.png’, Folder, str);
print(Fig, Filename, ‘-dpng’, ‘-r300’);

toc matrix, eigenvalues, diagonalization, atomic physics MATLAB Answers — New Questions

​

I want to read ArUco markers using MATLAB for my workflow. 
Does MATLAB support reading ArUco markers?I want to read ArUco markers using MATLAB for my workflow. 
Does MATLAB support reading ArUco markers? I want to read ArUco markers using MATLAB for my workflow. 
Does MATLAB support reading ArUco markers? opencv, computer, vision, toolbox, aruco, readarucomarker, generatearucomarker MATLAB Answers — New Questions

​

Hello,

I have a very large Matlab application, and am able to use the mcc command to successfully make it a stand-alone application.

However, our application also supports the ability for the user to create custom *.m files to perform certain behaviors, sort of like a plugin. We do not compile these files, as they are in a separate location and can be changed at any time. To allow our users to utilize these files in a deployed application, when the user selects one of these files to be used, we actually open an instance of regular Matlab, process their file, and return the data produced back to our deployed application (in a struct), to allow the user to inspect it.

We would like to have a way to compile/create a library of those custom *.m files, that our deployed application could access, instead of having a very unstable interface. I have looked at the libraryCompiler tool, but that seems to be for Java/C++/etc, I can’t find anything for making a library of *.m files.

Quick summary:

* Currently have a large "main" GUI application.
* The application can access custom user-written functions (.m files) in a completely different directory, even across a network.
* Would like a way to compile/deploy those functions in a way that could be treated as an "external" library and be used by a deployed version of the main application.

Thanks a bunch! If there’s anything I can clear up, please let me know.Hello,

I have a very large Matlab application, and am able to use the mcc command to successfully make it a stand-alone application.

However, our application also supports the ability for the user to create custom *.m files to perform certain behaviors, sort of like a plugin. We do not compile these files, as they are in a separate location and can be changed at any time. To allow our users to utilize these files in a deployed application, when the user selects one of these files to be used, we actually open an instance of regular Matlab, process their file, and return the data produced back to our deployed application (in a struct), to allow the user to inspect it.

We would like to have a way to compile/create a library of those custom *.m files, that our deployed application could access, instead of having a very unstable interface. I have looked at the libraryCompiler tool, but that seems to be for Java/C++/etc, I can’t find anything for making a library of *.m files.

Quick summary:

* Currently have a large "main" GUI application.
* The application can access custom user-written functions (.m files) in a completely different directory, even across a network.
* Would like a way to compile/deploy those functions in a way that could be treated as an "external" library and be used by a deployed version of the main application.

Thanks a bunch! If there’s anything I can clear up, please let me know. Hello,

I have a very large Matlab application, and am able to use the mcc command to successfully make it a stand-alone application.

However, our application also supports the ability for the user to create custom *.m files to perform certain behaviors, sort of like a plugin. We do not compile these files, as they are in a separate location and can be changed at any time. To allow our users to utilize these files in a deployed application, when the user selects one of these files to be used, we actually open an instance of regular Matlab, process their file, and return the data produced back to our deployed application (in a struct), to allow the user to inspect it.

We would like to have a way to compile/create a library of those custom *.m files, that our deployed application could access, instead of having a very unstable interface. I have looked at the libraryCompiler tool, but that seems to be for Java/C++/etc, I can’t find anything for making a library of *.m files.

Quick summary:

* Currently have a large "main" GUI application.
* The application can access custom user-written functions (.m files) in a completely different directory, even across a network.
* Would like a way to compile/deploy those functions in a way that could be treated as an "external" library and be used by a deployed version of the main application.

Thanks a bunch! If there’s anything I can clear up, please let me know. library, compiler, deploytool, matlab, external library MATLAB Answers — New Questions

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I am doing a school project using Neural networks to predict faults, I have already trained the neural network, but I am finding it difficult to use the trained model directly on simulink, using the predict blocks. I was able to use script to extract the data and make prediction and display on the workspace, but I want everything to run directly from simulinkI am doing a school project using Neural networks to predict faults, I have already trained the neural network, but I am finding it difficult to use the trained model directly on simulink, using the predict blocks. I was able to use script to extract the data and make prediction and display on the workspace, but I want everything to run directly from simulink I am doing a school project using Neural networks to predict faults, I have already trained the neural network, but I am finding it difficult to use the trained model directly on simulink, using the predict blocks. I was able to use script to extract the data and make prediction and display on the workspace, but I want everything to run directly from simulink neural network MATLAB Answers — New Questions

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I have a book with some good radar equations in it. However, everything is in Mathcad – I use Matlab. I’ve been converting everything I use from Mathcad to Matlab. I’ve run into one I’m not sure how to convert.

Mathcad has a function called root. The equation I’m interested in converting is:
root(f1(u) – sqrt(0.5), u, 0.3, 0.7

As I understand it, ‘root’ returns the value of u to make the function f1 equal to zero. With 0.3 and 0.7 being specified, root finds u on this interval.

How do I accomplish the same thing using Matlab?

Thanks,
KimI have a book with some good radar equations in it. However, everything is in Mathcad – I use Matlab. I’ve been converting everything I use from Mathcad to Matlab. I’ve run into one I’m not sure how to convert.

Mathcad has a function called root. The equation I’m interested in converting is:
root(f1(u) – sqrt(0.5), u, 0.3, 0.7

As I understand it, ‘root’ returns the value of u to make the function f1 equal to zero. With 0.3 and 0.7 being specified, root finds u on this interval.

How do I accomplish the same thing using Matlab?

Thanks,
Kim I have a book with some good radar equations in it. However, everything is in Mathcad – I use Matlab. I’ve been converting everything I use from Mathcad to Matlab. I’ve run into one I’m not sure how to convert.

Mathcad has a function called root. The equation I’m interested in converting is:
root(f1(u) – sqrt(0.5), u, 0.3, 0.7

As I understand it, ‘root’ returns the value of u to make the function f1 equal to zero. With 0.3 and 0.7 being specified, root finds u on this interval.

How do I accomplish the same thing using Matlab?

Thanks,
Kim mathcad, root MATLAB Answers — New Questions

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The "dos" command does not work as expected for switching directory with "cd" command.

>> [status, cmdout] = dos(‘cd C:’)

cmdout =
0×0 empty char array
However, the "dos" command works for different operations like "dir" fine.

>> [status, cmdout] = dos(‘dir’)

cmdout =

‘ Volume in drive C is Windows
Volume Serial Number is 6405-C0AD

Directory of C:Users………..

12/26/2024 04:35 PM <DIR> .
12/30/2024 02:49 PM <DIR> ..
Why does "dos" command work with "dir" but not with "cd"?The "dos" command does not work as expected for switching directory with "cd" command.

>> [status, cmdout] = dos(‘cd C:’)

cmdout =
0×0 empty char array
However, the "dos" command works for different operations like "dir" fine.

>> [status, cmdout] = dos(‘dir’)

cmdout =

‘ Volume in drive C is Windows
Volume Serial Number is 6405-C0AD

Directory of C:Users………..

12/26/2024 04:35 PM <DIR> .
12/30/2024 02:49 PM <DIR> ..
Why does "dos" command work with "dir" but not with "cd"? The "dos" command does not work as expected for switching directory with "cd" command.

>> [status, cmdout] = dos(‘cd C:’)

cmdout =
0×0 empty char array
However, the "dos" command works for different operations like "dir" fine.

>> [status, cmdout] = dos(‘dir’)

cmdout =

‘ Volume in drive C is Windows
Volume Serial Number is 6405-C0AD

Directory of C:Users………..

12/26/2024 04:35 PM <DIR> .
12/30/2024 02:49 PM <DIR> ..
Why does "dos" command work with "dir" but not with "cd"? doscommand, cdcommand, switchingdirectories MATLAB Answers — New Questions

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Hi,
I am using fast restart to run Simscape model. I have the initial states of the blocks as block parameters defined in the matlab workspace. I would like to change certain parameters (say change the pressure at one point to a higher value) to simulate an external event and continue the simulation without altering rest of the system state. Preferably using fast restart. What is the cleanest way to achieve this? Is is possible to reinitialize just a single block using setBlockParameter() function and contine the simulation?

I have tried:
Run simulation -> save state -> change blockparameters (structs defined in workspace) -> load state ->run.
This doesnt work as I get the following error:
‘Simulink cannot load the initial operating point because the model, ‘model..’, was changed after the operating point was saved. Run the simulation again and resave the operating point.’
I already verified that the struct that is being changed is of the same dimensions and datatype after, just their numerical values are changed.Hi,
I am using fast restart to run Simscape model. I have the initial states of the blocks as block parameters defined in the matlab workspace. I would like to change certain parameters (say change the pressure at one point to a higher value) to simulate an external event and continue the simulation without altering rest of the system state. Preferably using fast restart. What is the cleanest way to achieve this? Is is possible to reinitialize just a single block using setBlockParameter() function and contine the simulation?

I have tried:
Run simulation -> save state -> change blockparameters (structs defined in workspace) -> load state ->run.
This doesnt work as I get the following error:
‘Simulink cannot load the initial operating point because the model, ‘model..’, was changed after the operating point was saved. Run the simulation again and resave the operating point.’
I already verified that the struct that is being changed is of the same dimensions and datatype after, just their numerical values are changed. Hi,
I am using fast restart to run Simscape model. I have the initial states of the blocks as block parameters defined in the matlab workspace. I would like to change certain parameters (say change the pressure at one point to a higher value) to simulate an external event and continue the simulation without altering rest of the system state. Preferably using fast restart. What is the cleanest way to achieve this? Is is possible to reinitialize just a single block using setBlockParameter() function and contine the simulation?

I have tried:
Run simulation -> save state -> change blockparameters (structs defined in workspace) -> load state ->run.
This doesnt work as I get the following error:
‘Simulink cannot load the initial operating point because the model, ‘model..’, was changed after the operating point was saved. Run the simulation again and resave the operating point.’
I already verified that the struct that is being changed is of the same dimensions and datatype after, just their numerical values are changed. simscape, fastrestart, simulink MATLAB Answers — New Questions

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Hi everyone,
Please, I have an application that uses MATLAB Runtime 9.9 (with Windows Server 2019 Std) and I’m facing the following error message:
"Failed to create COM objectMatlabWrapper.wrapper: Automation errorThe specified module could no be found".
Please, any tip to solve this issue?
Thanks.Hi everyone,
Please, I have an application that uses MATLAB Runtime 9.9 (with Windows Server 2019 Std) and I’m facing the following error message:
"Failed to create COM objectMatlabWrapper.wrapper: Automation errorThe specified module could no be found".
Please, any tip to solve this issue?
Thanks. Hi everyone,
Please, I have an application that uses MATLAB Runtime 9.9 (with Windows Server 2019 Std) and I’m facing the following error message:
"Failed to create COM objectMatlabWrapper.wrapper: Automation errorThe specified module could no be found".
Please, any tip to solve this issue?
Thanks. matlab runtime MATLAB Answers — New Questions

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I’d like to plot and analyze the TSA traveler data from this website: https://www.tsa.gov/coronavirus/passenger-throughput
The data is embedded on the page as an HTML table element.
How do I extract the table content into a MATLAB table?I’d like to plot and analyze the TSA traveler data from this website: https://www.tsa.gov/coronavirus/passenger-throughput
The data is embedded on the page as an HTML table element.
How do I extract the table content into a MATLAB table? I’d like to plot and analyze the TSA traveler data from this website: https://www.tsa.gov/coronavirus/passenger-throughput
The data is embedded on the page as an HTML table element.
How do I extract the table content into a MATLAB table? html, table MATLAB Answers — New Questions

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