Hello, I want to extrapolate a point (longitude,latitude) from the coordinates of a surface file (attached here as "slab_strike") as it is empty (Strike=NaN) when using interp2 as the points are outside the boundary. Despsite I used the option "nearest" is empty anyway.

% Coordinates of the points:
lat_GMM= -17.8990;
lon_GMM=-73.5295;
% The surface plot
load slab_strike % Loading the slab strike
Slab_strike.x=x
Slab_strike.y=y
Slab_strike.z=z
Strike = interp2(Slab_strike.x,Slab_strike.y,Slab_strike.z,lon_GMM,lat_GMM)
As Strike=NaN, there is a way I can choose the closest point value from the surface instead.
I would appreciate the helpHello, I want to extrapolate a point (longitude,latitude) from the coordinates of a surface file (attached here as "slab_strike") as it is empty (Strike=NaN) when using interp2 as the points are outside the boundary. Despsite I used the option "nearest" is empty anyway.

% Coordinates of the points:
lat_GMM= -17.8990;
lon_GMM=-73.5295;
% The surface plot
load slab_strike % Loading the slab strike
Slab_strike.x=x
Slab_strike.y=y
Slab_strike.z=z
Strike = interp2(Slab_strike.x,Slab_strike.y,Slab_strike.z,lon_GMM,lat_GMM)
As Strike=NaN, there is a way I can choose the closest point value from the surface instead.
I would appreciate the help Hello, I want to extrapolate a point (longitude,latitude) from the coordinates of a surface file (attached here as "slab_strike") as it is empty (Strike=NaN) when using interp2 as the points are outside the boundary. Despsite I used the option "nearest" is empty anyway.

% Coordinates of the points:
lat_GMM= -17.8990;
lon_GMM=-73.5295;
% The surface plot
load slab_strike % Loading the slab strike
Slab_strike.x=x
Slab_strike.y=y
Slab_strike.z=z
Strike = interp2(Slab_strike.x,Slab_strike.y,Slab_strike.z,lon_GMM,lat_GMM)
As Strike=NaN, there is a way I can choose the closest point value from the surface instead.
I would appreciate the help selecting the closest point reference MATLAB Answers — New Questions

​

How can I create an offset of a boundary?
rng(‘default’)
x = rand(30,1);
y = rand(30,1);
plot(x,y,’.’)
xlim([-0.2 1.2])
ylim([-0.2 1.2])
k = boundary(x,y);
hold on;
plot(x(k),y(k));

My desired output:How can I create an offset of a boundary?
rng(‘default’)
x = rand(30,1);
y = rand(30,1);
plot(x,y,’.’)
xlim([-0.2 1.2])
ylim([-0.2 1.2])
k = boundary(x,y);
hold on;
plot(x(k),y(k));

My desired output: How can I create an offset of a boundary?
rng(‘default’)
x = rand(30,1);
y = rand(30,1);
plot(x,y,’.’)
xlim([-0.2 1.2])
ylim([-0.2 1.2])
k = boundary(x,y);
hold on;
plot(x(k),y(k));

My desired output: offset, boundary MATLAB Answers — New Questions

​

function HTP()
clc
clear all format long % hybrid Carreau
% Define constants
J1 = 0.1;
J2 = 0.1;
J3 = 0.1;
J4 = 0.1;
JS = 0.1;
z = 0.1;
S = 0.1;
GC = 0.1;
Gr = 0.1;
H = 0.1;
a = 0.1;
m = 1;
G = 0.5;
phi = 0.1;

% Define time vector
t = linspace(0, 5, 100); % 100 points between 0 and 5
%t= 1;
% Calculate u1 and u2
u1 = exp(-t) – 1;

% Compute u2 with corrected parentheses and mathematical operations
exp_t = exp(t); % Compute exp(t) once for efficiency
term1 = -33 / J1 * (1 – exp_t – z / 3 * S);
term2 = 2 * GC * J3 + 2 * Gr * J2;
term3 = (2 * J4 * H * a^2) / (1 + m^2);
term4 = 3 * G * exp_t + 6 * exp_t / ((1 – phi)^2.5);
term5 = 2 * GC * JS * exp_t + 2 * Gr * J2 * exp_t;
u2 = (term1 + term2 – term3 – term4 – term5 + term3 * (exp_t – m + m * exp_t)) / (6 * a);

% Compute u
y = 1; % Define y as 1 or another constant value; adjust as needed
u = u1 * y + u2 * y.^2;

% Plot the result
phi = 0.1
figure ;
plot(t, u);
phi= 0.2
figure ;
plot(t, u);
phi = 0.3
figure ;
plot(t, u);
phi = 0.4
figure ;
plot(t, u);
xlabel(‘Time (t)’);
ylabel(‘u(t)’);
title(‘Plot of u(t)’);
axis([0 5 min(u) max(u)]);
grid on;
endfunction HTP()
clc
clear all format long % hybrid Carreau
% Define constants
J1 = 0.1;
J2 = 0.1;
J3 = 0.1;
J4 = 0.1;
JS = 0.1;
z = 0.1;
S = 0.1;
GC = 0.1;
Gr = 0.1;
H = 0.1;
a = 0.1;
m = 1;
G = 0.5;
phi = 0.1;

% Define time vector
t = linspace(0, 5, 100); % 100 points between 0 and 5
%t= 1;
% Calculate u1 and u2
u1 = exp(-t) – 1;

% Compute u2 with corrected parentheses and mathematical operations
exp_t = exp(t); % Compute exp(t) once for efficiency
term1 = -33 / J1 * (1 – exp_t – z / 3 * S);
term2 = 2 * GC * J3 + 2 * Gr * J2;
term3 = (2 * J4 * H * a^2) / (1 + m^2);
term4 = 3 * G * exp_t + 6 * exp_t / ((1 – phi)^2.5);
term5 = 2 * GC * JS * exp_t + 2 * Gr * J2 * exp_t;
u2 = (term1 + term2 – term3 – term4 – term5 + term3 * (exp_t – m + m * exp_t)) / (6 * a);

% Compute u
y = 1; % Define y as 1 or another constant value; adjust as needed
u = u1 * y + u2 * y.^2;

% Plot the result
phi = 0.1
figure ;
plot(t, u);
phi= 0.2
figure ;
plot(t, u);
phi = 0.3
figure ;
plot(t, u);
phi = 0.4
figure ;
plot(t, u);
xlabel(‘Time (t)’);
ylabel(‘u(t)’);
title(‘Plot of u(t)’);
axis([0 5 min(u) max(u)]);
grid on;
end function HTP()
clc
clear all format long % hybrid Carreau
% Define constants
J1 = 0.1;
J2 = 0.1;
J3 = 0.1;
J4 = 0.1;
JS = 0.1;
z = 0.1;
S = 0.1;
GC = 0.1;
Gr = 0.1;
H = 0.1;
a = 0.1;
m = 1;
G = 0.5;
phi = 0.1;

% Define time vector
t = linspace(0, 5, 100); % 100 points between 0 and 5
%t= 1;
% Calculate u1 and u2
u1 = exp(-t) – 1;

% Compute u2 with corrected parentheses and mathematical operations
exp_t = exp(t); % Compute exp(t) once for efficiency
term1 = -33 / J1 * (1 – exp_t – z / 3 * S);
term2 = 2 * GC * J3 + 2 * Gr * J2;
term3 = (2 * J4 * H * a^2) / (1 + m^2);
term4 = 3 * G * exp_t + 6 * exp_t / ((1 – phi)^2.5);
term5 = 2 * GC * JS * exp_t + 2 * Gr * J2 * exp_t;
u2 = (term1 + term2 – term3 – term4 – term5 + term3 * (exp_t – m + m * exp_t)) / (6 * a);

% Compute u
y = 1; % Define y as 1 or another constant value; adjust as needed
u = u1 * y + u2 * y.^2;

% Plot the result
phi = 0.1
figure ;
plot(t, u);
phi= 0.2
figure ;
plot(t, u);
phi = 0.3
figure ;
plot(t, u);
phi = 0.4
figure ;
plot(t, u);
xlabel(‘Time (t)’);
ylabel(‘u(t)’);
title(‘Plot of u(t)’);
axis([0 5 min(u) max(u)]);
grid on;
end multiple lines in one graph MATLAB Answers — New Questions

​

Copy-pasting column vector values from workspace to editor used to automatically include ; and give me everything in a nicely formated single row. After updating to 2021b it results in a long list of values (each one in a separate row).
For example:
Create a column vector:
> A = [1; 2; 3; 4; 5];
Open it in the workspace, select entire column and copy (ctrl-c)
Paste in the editor results with:
1
2
3
4
5

while it used to result with:
1;2;3;4;5

Is there a way to switch back to the old behavior of copy-pasting variables?

I use it a lot, for example when saving the results in my scripts as starting values for the future and the new format makes the scripts much longer and messier.
Thank you very much in advance for any suggestions.Copy-pasting column vector values from workspace to editor used to automatically include ; and give me everything in a nicely formated single row. After updating to 2021b it results in a long list of values (each one in a separate row).
For example:
Create a column vector:
> A = [1; 2; 3; 4; 5];
Open it in the workspace, select entire column and copy (ctrl-c)
Paste in the editor results with:
1
2
3
4
5

while it used to result with:
1;2;3;4;5

Is there a way to switch back to the old behavior of copy-pasting variables?

I use it a lot, for example when saving the results in my scripts as starting values for the future and the new format makes the scripts much longer and messier.
Thank you very much in advance for any suggestions. Copy-pasting column vector values from workspace to editor used to automatically include ; and give me everything in a nicely formated single row. After updating to 2021b it results in a long list of values (each one in a separate row).
For example:
Create a column vector:
> A = [1; 2; 3; 4; 5];
Open it in the workspace, select entire column and copy (ctrl-c)
Paste in the editor results with:
1
2
3
4
5

while it used to result with:
1;2;3;4;5

Is there a way to switch back to the old behavior of copy-pasting variables?

I use it a lot, for example when saving the results in my scripts as starting values for the future and the new format makes the scripts much longer and messier.
Thank you very much in advance for any suggestions. copy-paste, editor, variables, 2021b update MATLAB Answers — New Questions

​

Image Processing ToolBox, The function "imread" can not identify .png file. Why is this???Image Processing ToolBox, The function "imread" can not identify .png file. Why is this??? Image Processing ToolBox, The function "imread" can not identify .png file. Why is this??? image processing toolbox, imread MATLAB Answers — New Questions

​

I am trying to simulate an electronical device that can be modeled by a mass-spring-damper system with an additional non-linear force. The equation at the equilibrium for the system is the following :

The goal of my MATLAB code is to solve this equation for $x$ and find the equilibrium. For this purpose, I use the `ode45` function like this (all coefficient are defined in my code but not shown here) :
x0 = 0;
[t, x] = ode45(@(t, x) odefun(t, x, eps0, a, V0, B, d0, K), tspan, x0);

function dxdt = odefun(t, x, eps, a, V, B, d0, K)
dxdt = ((eps * a * V^2) ./ (2 * B * (d0 – x).^2)) + ((K / B) .* x);
end

The equation is good according to my teachers and several papers but the solver never converges and I can’t see why. All coefficient are defined according to the dimensions of a capacitive micromachined ultrasound transducer. The solution of ode45 is the following :

This is obviously wrong because the dimensions of a cmut are bellow millimeter.
Can you see any mistakes in the way I use the ode45 solver ?

Full code :

% DIMENSIONS DE LA MEMBRANE
e = 500e-9; % epaisseur [m]
r = 20e-6; % rayon [m]
d0 = 550e-9; % epaisseur de cavite [m]
a = pi * r^2; % surface de la membrane [m^2]

% PARAMETRES MECANIQUES
E = 200e9; % module d’Young du SiN [Pa]
nu = 0.25; % coefficient de poisson du SiN
eta = 18.5e-6; % viscosité dynamique de l’air [Pa.s]
p0 = 1e5; % pression exterieure [Pa]
rhoSiN = 3170; % densite du SiN [Kg/m^3]
m = rhoSiN * a * e; % masse membrane [Kg]
K = (16 * E * e^3) / (3 * (1 – nu^2) * r^2); % raideur [N/m]
B = (eta * pi * r^2) / e; % amortissement [N.s/m]

% PARAMETRES ELECTRIQUES
eps0 = 8.85e-12; % permittivité diélectrique du vide [F/m]
V0 = 10; % tension de polarisation [V]

% Conditions initiales et plage de temps
x0 = 0;
ti = 0; tf = 1e-3;
dt = 1e-6;
tspan = linspace(ti, tf, 1/dt);

% Résolution par RK4
[t, x] = ode45(@(t, x) odefun(t, x, eps0, a, V0, B, d0, K), tspan, x0);

plot(t,x,’-‘)

function dxdt = odefun(t, x, eps, a, V, B, d0, K)
dxdt = ((eps * a * V^2) ./ (2 * B * (d0 – x).^2)) + ((K / B) .* x);
end

References :
– Y. Wang, L. -M. He, Z. Li, W. Xu and J. Ren, "A computationally efficient nonlinear dynamic model for cMUT based on COMSOL and MATLAB/Simulink"
– T. Merrien, A. Boulmé and D. Certon, "Lumped-Parameter Equivalent Circuit Modeling of CMUT Array Elements"

I tried several solver from MATLAB and implemented my own Runge-Kutta algorithm based on the Wikipedia example. I also verified the coefficients according to my references.I am trying to simulate an electronical device that can be modeled by a mass-spring-damper system with an additional non-linear force. The equation at the equilibrium for the system is the following :

The goal of my MATLAB code is to solve this equation for $x$ and find the equilibrium. For this purpose, I use the `ode45` function like this (all coefficient are defined in my code but not shown here) :
x0 = 0;
[t, x] = ode45(@(t, x) odefun(t, x, eps0, a, V0, B, d0, K), tspan, x0);

function dxdt = odefun(t, x, eps, a, V, B, d0, K)
dxdt = ((eps * a * V^2) ./ (2 * B * (d0 – x).^2)) + ((K / B) .* x);
end

The equation is good according to my teachers and several papers but the solver never converges and I can’t see why. All coefficient are defined according to the dimensions of a capacitive micromachined ultrasound transducer. The solution of ode45 is the following :

This is obviously wrong because the dimensions of a cmut are bellow millimeter.
Can you see any mistakes in the way I use the ode45 solver ?

Full code :

% DIMENSIONS DE LA MEMBRANE
e = 500e-9; % epaisseur [m]
r = 20e-6; % rayon [m]
d0 = 550e-9; % epaisseur de cavite [m]
a = pi * r^2; % surface de la membrane [m^2]

% PARAMETRES MECANIQUES
E = 200e9; % module d’Young du SiN [Pa]
nu = 0.25; % coefficient de poisson du SiN
eta = 18.5e-6; % viscosité dynamique de l’air [Pa.s]
p0 = 1e5; % pression exterieure [Pa]
rhoSiN = 3170; % densite du SiN [Kg/m^3]
m = rhoSiN * a * e; % masse membrane [Kg]
K = (16 * E * e^3) / (3 * (1 – nu^2) * r^2); % raideur [N/m]
B = (eta * pi * r^2) / e; % amortissement [N.s/m]

% PARAMETRES ELECTRIQUES
eps0 = 8.85e-12; % permittivité diélectrique du vide [F/m]
V0 = 10; % tension de polarisation [V]

% Conditions initiales et plage de temps
x0 = 0;
ti = 0; tf = 1e-3;
dt = 1e-6;
tspan = linspace(ti, tf, 1/dt);

% Résolution par RK4
[t, x] = ode45(@(t, x) odefun(t, x, eps0, a, V0, B, d0, K), tspan, x0);

plot(t,x,’-‘)

function dxdt = odefun(t, x, eps, a, V, B, d0, K)
dxdt = ((eps * a * V^2) ./ (2 * B * (d0 – x).^2)) + ((K / B) .* x);
end

References :
– Y. Wang, L. -M. He, Z. Li, W. Xu and J. Ren, "A computationally efficient nonlinear dynamic model for cMUT based on COMSOL and MATLAB/Simulink"
– T. Merrien, A. Boulmé and D. Certon, "Lumped-Parameter Equivalent Circuit Modeling of CMUT Array Elements"

I tried several solver from MATLAB and implemented my own Runge-Kutta algorithm based on the Wikipedia example. I also verified the coefficients according to my references. I am trying to simulate an electronical device that can be modeled by a mass-spring-damper system with an additional non-linear force. The equation at the equilibrium for the system is the following :

The goal of my MATLAB code is to solve this equation for $x$ and find the equilibrium. For this purpose, I use the `ode45` function like this (all coefficient are defined in my code but not shown here) :
x0 = 0;
[t, x] = ode45(@(t, x) odefun(t, x, eps0, a, V0, B, d0, K), tspan, x0);

function dxdt = odefun(t, x, eps, a, V, B, d0, K)
dxdt = ((eps * a * V^2) ./ (2 * B * (d0 – x).^2)) + ((K / B) .* x);
end

The equation is good according to my teachers and several papers but the solver never converges and I can’t see why. All coefficient are defined according to the dimensions of a capacitive micromachined ultrasound transducer. The solution of ode45 is the following :

This is obviously wrong because the dimensions of a cmut are bellow millimeter.
Can you see any mistakes in the way I use the ode45 solver ?

Full code :

% DIMENSIONS DE LA MEMBRANE
e = 500e-9; % epaisseur [m]
r = 20e-6; % rayon [m]
d0 = 550e-9; % epaisseur de cavite [m]
a = pi * r^2; % surface de la membrane [m^2]

% PARAMETRES MECANIQUES
E = 200e9; % module d’Young du SiN [Pa]
nu = 0.25; % coefficient de poisson du SiN
eta = 18.5e-6; % viscosité dynamique de l’air [Pa.s]
p0 = 1e5; % pression exterieure [Pa]
rhoSiN = 3170; % densite du SiN [Kg/m^3]
m = rhoSiN * a * e; % masse membrane [Kg]
K = (16 * E * e^3) / (3 * (1 – nu^2) * r^2); % raideur [N/m]
B = (eta * pi * r^2) / e; % amortissement [N.s/m]

% PARAMETRES ELECTRIQUES
eps0 = 8.85e-12; % permittivité diélectrique du vide [F/m]
V0 = 10; % tension de polarisation [V]

% Conditions initiales et plage de temps
x0 = 0;
ti = 0; tf = 1e-3;
dt = 1e-6;
tspan = linspace(ti, tf, 1/dt);

% Résolution par RK4
[t, x] = ode45(@(t, x) odefun(t, x, eps0, a, V0, B, d0, K), tspan, x0);

plot(t,x,’-‘)

function dxdt = odefun(t, x, eps, a, V, B, d0, K)
dxdt = ((eps * a * V^2) ./ (2 * B * (d0 – x).^2)) + ((K / B) .* x);
end

References :
– Y. Wang, L. -M. He, Z. Li, W. Xu and J. Ren, "A computationally efficient nonlinear dynamic model for cMUT based on COMSOL and MATLAB/Simulink"
– T. Merrien, A. Boulmé and D. Certon, "Lumped-Parameter Equivalent Circuit Modeling of CMUT Array Elements"

I tried several solver from MATLAB and implemented my own Runge-Kutta algorithm based on the Wikipedia example. I also verified the coefficients according to my references. differential equations, physics, matlab, model, ode45, ode MATLAB Answers — New Questions

​

I belive my request is quite straigth forward.
I want the logic of my Matlab Funciton Block to be generated as clocked logic and not combinatorial logic.
Lets use the eml_hdl_incrementer example.
It generates
eml_inc_blk_1_output : PROCESS (ctr_preset, ctr_preset_val_unsigned, current_count)
But I would want it to generate
eml_inc_blk_1_output : PROCESS (clk)
I mean it should not be a miracle to achieve, but I could not find an option, that allows me to enforce this behaviour.
Is there an option to make matlab generate a clocked process or do I have to use specific patterns in my funciton?I belive my request is quite straigth forward.
I want the logic of my Matlab Funciton Block to be generated as clocked logic and not combinatorial logic.
Lets use the eml_hdl_incrementer example.
It generates
eml_inc_blk_1_output : PROCESS (ctr_preset, ctr_preset_val_unsigned, current_count)
But I would want it to generate
eml_inc_blk_1_output : PROCESS (clk)
I mean it should not be a miracle to achieve, but I could not find an option, that allows me to enforce this behaviour.
Is there an option to make matlab generate a clocked process or do I have to use specific patterns in my funciton? I belive my request is quite straigth forward.
I want the logic of my Matlab Funciton Block to be generated as clocked logic and not combinatorial logic.
Lets use the eml_hdl_incrementer example.
It generates
eml_inc_blk_1_output : PROCESS (ctr_preset, ctr_preset_val_unsigned, current_count)
But I would want it to generate
eml_inc_blk_1_output : PROCESS (clk)
I mean it should not be a miracle to achieve, but I could not find an option, that allows me to enforce this behaviour.
Is there an option to make matlab generate a clocked process or do I have to use specific patterns in my funciton? hdl coder, clocked process MATLAB Answers — New Questions

​

Hello,
I have successfully implemented an ILP problem using MATLAB’s problem-based optimization approach. However, I am now looking to switch to the solver-based approach to take advantage of its flexibility and efficiency.
In the problem-based approach, I defined binary decision variables, constraints, and an objective function using optimvar, optimconstr, and optimexpr. The code works well, but I need guidance on how to transform this code into a solver-based format using intlinprog.
Here’s a summary of what I have:
Decision Variables:
A 3D binary matrix A(N, numNodes, num_vehicles) for task assignment.
A binary vector chi(num_vehicles) for satisfaction.
Other binary variables like z, t_wait_aux, etc.
Constraints:
Assignment constraints, dependency constraints, and time-based constraints.
I linearized expressions using auxiliary variables and max constraints.
Objective Function:
The objective is to maximize the satisfaction rate, expressed as a linear function of chi.
Could you provide guidance or directions how to systematically convert my existing problem-based variables and constraints into the matrix form required by intlinprog
Here is the code
the problem is attached.
Thank you for your continued help!Hello,
I have successfully implemented an ILP problem using MATLAB’s problem-based optimization approach. However, I am now looking to switch to the solver-based approach to take advantage of its flexibility and efficiency.
In the problem-based approach, I defined binary decision variables, constraints, and an objective function using optimvar, optimconstr, and optimexpr. The code works well, but I need guidance on how to transform this code into a solver-based format using intlinprog.
Here’s a summary of what I have:
Decision Variables:
A 3D binary matrix A(N, numNodes, num_vehicles) for task assignment.
A binary vector chi(num_vehicles) for satisfaction.
Other binary variables like z, t_wait_aux, etc.
Constraints:
Assignment constraints, dependency constraints, and time-based constraints.
I linearized expressions using auxiliary variables and max constraints.
Objective Function:
The objective is to maximize the satisfaction rate, expressed as a linear function of chi.
Could you provide guidance or directions how to systematically convert my existing problem-based variables and constraints into the matrix form required by intlinprog
Here is the code
the problem is attached.
Thank you for your continued help! Hello,
I have successfully implemented an ILP problem using MATLAB’s problem-based optimization approach. However, I am now looking to switch to the solver-based approach to take advantage of its flexibility and efficiency.
In the problem-based approach, I defined binary decision variables, constraints, and an objective function using optimvar, optimconstr, and optimexpr. The code works well, but I need guidance on how to transform this code into a solver-based format using intlinprog.
Here’s a summary of what I have:
Decision Variables:
A 3D binary matrix A(N, numNodes, num_vehicles) for task assignment.
A binary vector chi(num_vehicles) for satisfaction.
Other binary variables like z, t_wait_aux, etc.
Constraints:
Assignment constraints, dependency constraints, and time-based constraints.
I linearized expressions using auxiliary variables and max constraints.
Objective Function:
The objective is to maximize the satisfaction rate, expressed as a linear function of chi.
Could you provide guidance or directions how to systematically convert my existing problem-based variables and constraints into the matrix form required by intlinprog
Here is the code
the problem is attached.
Thank you for your continued help! solver based optimization, ilp, matlab code MATLAB Answers — New Questions

​

how can i solve a 2D unsteady heat advection diffusion equation with Crank-Nicolson method scheme using Matlab? the convective flows are given by Taylor-Green vortex solution.how can i solve a 2D unsteady heat advection diffusion equation with Crank-Nicolson method scheme using Matlab? the convective flows are given by Taylor-Green vortex solution. how can i solve a 2D unsteady heat advection diffusion equation with Crank-Nicolson method scheme using Matlab? the convective flows are given by Taylor-Green vortex solution. crank-nicolson MATLAB Answers — New Questions

​

Hi,
I getting this error while trying to load a mex library on Ubuntu 20.04
>> loadlibrary(‘ice’, @iceproto)
Error using message/getString
In ‘MATLAB:loadlibrary:ErrorRunningFromCommandLine’, parameter {0} must be a real scalar.

Error in loadlibrary
I have build a mex, proto and thunk files
ice.mexa64 iceproto.m icethunk.so

Cheers,
JoseHi,
I getting this error while trying to load a mex library on Ubuntu 20.04
>> loadlibrary(‘ice’, @iceproto)
Error using message/getString
In ‘MATLAB:loadlibrary:ErrorRunningFromCommandLine’, parameter {0} must be a real scalar.

Error in loadlibrary
I have build a mex, proto and thunk files
ice.mexa64 iceproto.m icethunk.so

Cheers,
Jose Hi,
I getting this error while trying to load a mex library on Ubuntu 20.04
>> loadlibrary(‘ice’, @iceproto)
Error using message/getString
In ‘MATLAB:loadlibrary:ErrorRunningFromCommandLine’, parameter {0} must be a real scalar.

Error in loadlibrary
I have build a mex, proto and thunk files
ice.mexa64 iceproto.m icethunk.so

Cheers,
Jose mex MATLAB Answers — New Questions

​