I have been running into this issue for some time. I can not hover my mouse over a plot and have the time-value information displayed. I am using ‘plot’ function to display the figure.
I get this warning in the command window:
Error in matlab.graphics.interaction.actions.Linger
Warning: Error occurred while executing the listener callback for event WindowMouseMotion defined for class matlab.ui.Figure:
Undefined function ‘convertDataToPickSpace’ for input arguments of type ‘matlab.graphics.chart.primitive.Line’.
Error in matlab.graphics.chart.interaction.dataannotatable.picking.AnnotatablePicker/convertToPickSpace (line 40)
pickLocations = convertDataToPickSpace(hContext, iter, request3D);
Error in matlab.graphics.chart.interaction.dataannotatable.picking.AnnotatablePicker/nearestSegment (line 39)
pixelLocations = obj.convertToPickSpace(hContext, varargin, valid);
Error in matlab.graphics.chart.interaction.dataannotatable.LineHelper>localGetNearestSegment (line 252)
[index1, index2, t] = utils.nearestSegment(hLine, position, isPixelPoint, data{:});
Error in matlab.graphics.chart.interaction.dataannotatable.LineHelper.getNearestPoint (line 77)
[index1, index2, t] = localGetNearestSegment(hLine, position, true);
Error in matlab.graphics.interaction.uiaxes.DataTipsBase

Error in matlab.graphics.interaction.actions.Linger/motionCallback

Error in matlab.graphics.interaction.actions.Linger

Warning says I have a missing function ‘convertDataToPickSpace’.
Am I missing a toolbox?
I am using MATLAB R2022b, but have the same issue in R2024b.
Thanks in advance!I have been running into this issue for some time. I can not hover my mouse over a plot and have the time-value information displayed. I am using ‘plot’ function to display the figure.
I get this warning in the command window:
Error in matlab.graphics.interaction.actions.Linger
Warning: Error occurred while executing the listener callback for event WindowMouseMotion defined for class matlab.ui.Figure:
Undefined function ‘convertDataToPickSpace’ for input arguments of type ‘matlab.graphics.chart.primitive.Line’.
Error in matlab.graphics.chart.interaction.dataannotatable.picking.AnnotatablePicker/convertToPickSpace (line 40)
pickLocations = convertDataToPickSpace(hContext, iter, request3D);
Error in matlab.graphics.chart.interaction.dataannotatable.picking.AnnotatablePicker/nearestSegment (line 39)
pixelLocations = obj.convertToPickSpace(hContext, varargin, valid);
Error in matlab.graphics.chart.interaction.dataannotatable.LineHelper>localGetNearestSegment (line 252)
[index1, index2, t] = utils.nearestSegment(hLine, position, isPixelPoint, data{:});
Error in matlab.graphics.chart.interaction.dataannotatable.LineHelper.getNearestPoint (line 77)
[index1, index2, t] = localGetNearestSegment(hLine, position, true);
Error in matlab.graphics.interaction.uiaxes.DataTipsBase

Error in matlab.graphics.interaction.actions.Linger/motionCallback

Error in matlab.graphics.interaction.actions.Linger

Warning says I have a missing function ‘convertDataToPickSpace’.
Am I missing a toolbox?
I am using MATLAB R2022b, but have the same issue in R2024b.
Thanks in advance! I have been running into this issue for some time. I can not hover my mouse over a plot and have the time-value information displayed. I am using ‘plot’ function to display the figure.
I get this warning in the command window:
Error in matlab.graphics.interaction.actions.Linger
Warning: Error occurred while executing the listener callback for event WindowMouseMotion defined for class matlab.ui.Figure:
Undefined function ‘convertDataToPickSpace’ for input arguments of type ‘matlab.graphics.chart.primitive.Line’.
Error in matlab.graphics.chart.interaction.dataannotatable.picking.AnnotatablePicker/convertToPickSpace (line 40)
pickLocations = convertDataToPickSpace(hContext, iter, request3D);
Error in matlab.graphics.chart.interaction.dataannotatable.picking.AnnotatablePicker/nearestSegment (line 39)
pixelLocations = obj.convertToPickSpace(hContext, varargin, valid);
Error in matlab.graphics.chart.interaction.dataannotatable.LineHelper>localGetNearestSegment (line 252)
[index1, index2, t] = utils.nearestSegment(hLine, position, isPixelPoint, data{:});
Error in matlab.graphics.chart.interaction.dataannotatable.LineHelper.getNearestPoint (line 77)
[index1, index2, t] = localGetNearestSegment(hLine, position, true);
Error in matlab.graphics.interaction.uiaxes.DataTipsBase

Error in matlab.graphics.interaction.actions.Linger/motionCallback

Error in matlab.graphics.interaction.actions.Linger

Warning says I have a missing function ‘convertDataToPickSpace’.
Am I missing a toolbox?
I am using MATLAB R2022b, but have the same issue in R2024b.
Thanks in advance! plot MATLAB Answers — New Questions

​

Hello,
I work on dual three-phase PMSM simulation. Now, I have exported flux linkage LUTs as function of current and angle from Ansys Maxwell, and loaded them to my MATLAB workspace.
I would like to take benefit from this ready Mathworks example, which connects Motor-CAD data of 6-phase machine to Simscape simulation with the help of a customized Simscape block: https://www.mathworks.com/help/sps/ug/import-fem-motorcad-six_phase.html
But the problem is, that this customized block is implemented as a generator in this example! Can I still use it directly as a motor, just by applying voltages as input and reading mechanical quantities on outputs (i.e. by cchanging the energy flow)?? Or should I make changes on the core equations inside the block?? Maybe people who developed this example can answer me in the best way possible.
I appreciate any effort to help.

Thank you in advance,
Ali BashabshehHello,
I work on dual three-phase PMSM simulation. Now, I have exported flux linkage LUTs as function of current and angle from Ansys Maxwell, and loaded them to my MATLAB workspace.
I would like to take benefit from this ready Mathworks example, which connects Motor-CAD data of 6-phase machine to Simscape simulation with the help of a customized Simscape block: https://www.mathworks.com/help/sps/ug/import-fem-motorcad-six_phase.html
But the problem is, that this customized block is implemented as a generator in this example! Can I still use it directly as a motor, just by applying voltages as input and reading mechanical quantities on outputs (i.e. by cchanging the energy flow)?? Or should I make changes on the core equations inside the block?? Maybe people who developed this example can answer me in the best way possible.
I appreciate any effort to help.

Thank you in advance,
Ali Bashabsheh Hello,
I work on dual three-phase PMSM simulation. Now, I have exported flux linkage LUTs as function of current and angle from Ansys Maxwell, and loaded them to my MATLAB workspace.
I would like to take benefit from this ready Mathworks example, which connects Motor-CAD data of 6-phase machine to Simscape simulation with the help of a customized Simscape block: https://www.mathworks.com/help/sps/ug/import-fem-motorcad-six_phase.html
But the problem is, that this customized block is implemented as a generator in this example! Can I still use it directly as a motor, just by applying voltages as input and reading mechanical quantities on outputs (i.e. by cchanging the energy flow)?? Or should I make changes on the core equations inside the block?? Maybe people who developed this example can answer me in the best way possible.
I appreciate any effort to help.

Thank you in advance,
Ali Bashabsheh six-phase pmsm, fem-parametrized MATLAB Answers — New Questions

​

After some discussion and playing around, I got some ways in defining a block mask that sets the Simulink (fixed point) data type of an output. i have a mask parameter called "quotype" that is a Data Type parameter, and I can pass a related parameter into my MATLAB Function block that has that data type which can then be acted upon. However, I’d like to support rules such as "Inherit: Inherit via internal rule" and "Inherit: Inherit via back propagation". To do so, I need to be able to retrieve information on the signals/ports as they’re compiling in Mask call back function. To wit: I have the current code that for instance works correctly when a specific data type is invoked:

% Initialization code section
function initialization()
if ~isa(quotype,’Simulink.NumericType’)
ports = get_param(gcb,"PortHandles");
out1 = ports.Outport(1);
in1 = ports.Inport(1);
in2 = ports.Inport(2);
disp(ports)
switch quotype
case ‘Inherit: Inherit via internal rule’
ttmp = fixdt(0,10,2);
case ‘Inherit: Inherit via back propagation’
ttmp = fixdt(0,10,2);
case ‘Inherit: Same as first input’
ttmp = fixdt(0,10,2);
otherwise
disp(quotype)
ttmp = fixdt(0,10,2);
end
qtype = fi(0,ttmp);
else
qtype = fi(0,quotype);
end
end
So, if a specific numeric type is provided in the dialog, I see I get a Simulink.NumericType object and life is good. If one of the other rules is selected, I get a string. As you can see, I can access stuff like the block port handles, but they’re doubles not objects so I have no idea what to do next. I can’t run this in the debugger apparently so I’m limited to my disp() statements that put stuff in the Diagnostic Viewer. The qtype is passed as a parameter into the underlying MATLAB function and the numeric type can be re-fetched by the call fixed.extractNumericType().
Help!After some discussion and playing around, I got some ways in defining a block mask that sets the Simulink (fixed point) data type of an output. i have a mask parameter called "quotype" that is a Data Type parameter, and I can pass a related parameter into my MATLAB Function block that has that data type which can then be acted upon. However, I’d like to support rules such as "Inherit: Inherit via internal rule" and "Inherit: Inherit via back propagation". To do so, I need to be able to retrieve information on the signals/ports as they’re compiling in Mask call back function. To wit: I have the current code that for instance works correctly when a specific data type is invoked:

% Initialization code section
function initialization()
if ~isa(quotype,’Simulink.NumericType’)
ports = get_param(gcb,"PortHandles");
out1 = ports.Outport(1);
in1 = ports.Inport(1);
in2 = ports.Inport(2);
disp(ports)
switch quotype
case ‘Inherit: Inherit via internal rule’
ttmp = fixdt(0,10,2);
case ‘Inherit: Inherit via back propagation’
ttmp = fixdt(0,10,2);
case ‘Inherit: Same as first input’
ttmp = fixdt(0,10,2);
otherwise
disp(quotype)
ttmp = fixdt(0,10,2);
end
qtype = fi(0,ttmp);
else
qtype = fi(0,quotype);
end
end
So, if a specific numeric type is provided in the dialog, I see I get a Simulink.NumericType object and life is good. If one of the other rules is selected, I get a string. As you can see, I can access stuff like the block port handles, but they’re doubles not objects so I have no idea what to do next. I can’t run this in the debugger apparently so I’m limited to my disp() statements that put stuff in the Diagnostic Viewer. The qtype is passed as a parameter into the underlying MATLAB function and the numeric type can be re-fetched by the call fixed.extractNumericType().
Help! After some discussion and playing around, I got some ways in defining a block mask that sets the Simulink (fixed point) data type of an output. i have a mask parameter called "quotype" that is a Data Type parameter, and I can pass a related parameter into my MATLAB Function block that has that data type which can then be acted upon. However, I’d like to support rules such as "Inherit: Inherit via internal rule" and "Inherit: Inherit via back propagation". To do so, I need to be able to retrieve information on the signals/ports as they’re compiling in Mask call back function. To wit: I have the current code that for instance works correctly when a specific data type is invoked:

% Initialization code section
function initialization()
if ~isa(quotype,’Simulink.NumericType’)
ports = get_param(gcb,"PortHandles");
out1 = ports.Outport(1);
in1 = ports.Inport(1);
in2 = ports.Inport(2);
disp(ports)
switch quotype
case ‘Inherit: Inherit via internal rule’
ttmp = fixdt(0,10,2);
case ‘Inherit: Inherit via back propagation’
ttmp = fixdt(0,10,2);
case ‘Inherit: Same as first input’
ttmp = fixdt(0,10,2);
otherwise
disp(quotype)
ttmp = fixdt(0,10,2);
end
qtype = fi(0,ttmp);
else
qtype = fi(0,quotype);
end
end
So, if a specific numeric type is provided in the dialog, I see I get a Simulink.NumericType object and life is good. If one of the other rules is selected, I get a string. As you can see, I can access stuff like the block port handles, but they’re doubles not objects so I have no idea what to do next. I can’t run this in the debugger apparently so I’m limited to my disp() statements that put stuff in the Diagnostic Viewer. The qtype is passed as a parameter into the underlying MATLAB function and the numeric type can be re-fetched by the call fixed.extractNumericType().
Help! mask parameters, port signals MATLAB Answers — New Questions

​

MATLAB has commands such as ispc/ismac/isunix and computer to determine the local computing environment. Is there a way to distinguish MATLAB Online and MATLAB Mobile from a local install? Both the online and mobile versions report themselves as 64-bit Linux, which is presumably the Mathworks server running behind the scenes. Both also have an enviroment variable MW_DDUX_APP_NAME that does not appear on Mac or Windows installs, with the very telling value MATLAB_ONLINE. My assumption is that a local Linux install would not have that variable, and if a local server did, the value would be different (unless one was running MATLAB Online behind a firewall).
So far I haven’t found a simple way of separating online and mobile versions, apart from a try/catch block containing a command that does not work on the latter (such as uifigure). That’s not very robust–is there a better way?MATLAB has commands such as ispc/ismac/isunix and computer to determine the local computing environment. Is there a way to distinguish MATLAB Online and MATLAB Mobile from a local install? Both the online and mobile versions report themselves as 64-bit Linux, which is presumably the Mathworks server running behind the scenes. Both also have an enviroment variable MW_DDUX_APP_NAME that does not appear on Mac or Windows installs, with the very telling value MATLAB_ONLINE. My assumption is that a local Linux install would not have that variable, and if a local server did, the value would be different (unless one was running MATLAB Online behind a firewall).
So far I haven’t found a simple way of separating online and mobile versions, apart from a try/catch block containing a command that does not work on the latter (such as uifigure). That’s not very robust–is there a better way? MATLAB has commands such as ispc/ismac/isunix and computer to determine the local computing environment. Is there a way to distinguish MATLAB Online and MATLAB Mobile from a local install? Both the online and mobile versions report themselves as 64-bit Linux, which is presumably the Mathworks server running behind the scenes. Both also have an enviroment variable MW_DDUX_APP_NAME that does not appear on Mac or Windows installs, with the very telling value MATLAB_ONLINE. My assumption is that a local Linux install would not have that variable, and if a local server did, the value would be different (unless one was running MATLAB Online behind a firewall).
So far I haven’t found a simple way of separating online and mobile versions, apart from a try/catch block containing a command that does not work on the latter (such as uifigure). That’s not very robust–is there a better way? online, mobile MATLAB Answers — New Questions

​

I am trying to remove detected circles that are too close to one another. My original plan involved indexing through all of the centers (X Y stored in separate columns), determining the distances, and then using those to remove points within a tolerance.
for nn=1:height(location_table)
distances=sqrt(((location_table(nn,1) – location_table(:,1)).^2)+((location_table(nn,2) – location_table(:,2)).^2))
too_close=(0<distances & distances<tolerance);
location_table(too_close,:)=[]
end
I was never able to get the removal to work. It would end up breaking if spots were removed because the index nn would eventually get larger than the current table height.
I discovered the uniquetol command when searching for answers. However, in my use of it, it filters out spots that are not unique (ie, within the tolerance). However, I would want it to remove spots that all spots that are too similar (rather than leaving a representative one behind).
location_table=uniquetol(location_table, closeness_tolerance, ‘ByRows’, true, ‘OutputAllIndices’, true, ‘DataScale’,1);
I plan to do radial intensity line scans starting at the center of all circles (and proceeding past their perimeter by a variable) that make it through this filtering process. If spots are too close, then the scan (improfile) will cross over the border of the intended scan as well as a spot that is too close to it (which will skew the data). For example, circle 4 should be excluded because it is too close to other circles and its scans could be skewed. Uniquetold allowed me to exclude the nearby circles but 4 would ideally not be included either.I am trying to remove detected circles that are too close to one another. My original plan involved indexing through all of the centers (X Y stored in separate columns), determining the distances, and then using those to remove points within a tolerance.
for nn=1:height(location_table)
distances=sqrt(((location_table(nn,1) – location_table(:,1)).^2)+((location_table(nn,2) – location_table(:,2)).^2))
too_close=(0<distances & distances<tolerance);
location_table(too_close,:)=[]
end
I was never able to get the removal to work. It would end up breaking if spots were removed because the index nn would eventually get larger than the current table height.
I discovered the uniquetol command when searching for answers. However, in my use of it, it filters out spots that are not unique (ie, within the tolerance). However, I would want it to remove spots that all spots that are too similar (rather than leaving a representative one behind).
location_table=uniquetol(location_table, closeness_tolerance, ‘ByRows’, true, ‘OutputAllIndices’, true, ‘DataScale’,1);
I plan to do radial intensity line scans starting at the center of all circles (and proceeding past their perimeter by a variable) that make it through this filtering process. If spots are too close, then the scan (improfile) will cross over the border of the intended scan as well as a spot that is too close to it (which will skew the data). For example, circle 4 should be excluded because it is too close to other circles and its scans could be skewed. Uniquetold allowed me to exclude the nearby circles but 4 would ideally not be included either. I am trying to remove detected circles that are too close to one another. My original plan involved indexing through all of the centers (X Y stored in separate columns), determining the distances, and then using those to remove points within a tolerance.
for nn=1:height(location_table)
distances=sqrt(((location_table(nn,1) – location_table(:,1)).^2)+((location_table(nn,2) – location_table(:,2)).^2))
too_close=(0<distances & distances<tolerance);
location_table(too_close,:)=[]
end
I was never able to get the removal to work. It would end up breaking if spots were removed because the index nn would eventually get larger than the current table height.
I discovered the uniquetol command when searching for answers. However, in my use of it, it filters out spots that are not unique (ie, within the tolerance). However, I would want it to remove spots that all spots that are too similar (rather than leaving a representative one behind).
location_table=uniquetol(location_table, closeness_tolerance, ‘ByRows’, true, ‘OutputAllIndices’, true, ‘DataScale’,1);
I plan to do radial intensity line scans starting at the center of all circles (and proceeding past their perimeter by a variable) that make it through this filtering process. If spots are too close, then the scan (improfile) will cross over the border of the intended scan as well as a spot that is too close to it (which will skew the data). For example, circle 4 should be excluded because it is too close to other circles and its scans could be skewed. Uniquetold allowed me to exclude the nearby circles but 4 would ideally not be included either. uniquetol, image analysis, image processing MATLAB Answers — New Questions

​

I have the following constrained (global) optimization problem:
For a user defined sorted real values vector:
xi = [xi(1), … , xi(N+1)]
I need to find unknown vector:
x = [x(1), …, x(L)]
where the integer L is the unknown length of the vector x (L>=0, L = 0 is the trivial case)
and the unknown vector x = [x(1), …, x(L)] must satisfy the following specific conditions:
===============================================================
0. The new "refined" sorted vector xo = union(xi,x), where length(xo) = L+N+1
should to fulfil the following set of conditions:
1. min(xo) = xo(1) = xi(1), max(xo) = xo(L+N+1) = xi(N+1)
2a. max(z(j)/z(j+1),z(j+1)/z(j)) < q_max, for j = 1, 2, … L+N
2b. max(z(j-1)/z(j),z(j)/z(j-1)) < q_max, for j = 2, 2, … L+N+1
where
z(j) = xo(j+1) – xo(j) , z = diff(xo), length(z) = L+N
and
q_max is user defined max ratio, where q_max > 1 (typically q_max ~ 1.05 – 1.2)
3. min(z) -> maximal, minimal distance between xo vector elements should be maximized.
It is obvious that for small L the constraint conditions (2) is not possible to satisfy.

===============================================================

The motivation of this problem is the creation of the so called, "homogenized" 1-D grid, where consecutive distances between elements of vector xo are relatively "slowly" changing.

I will be very happy for any recommendation how to effectively solve this problem using MATLAB + (global) optimization toolbox.I have the following constrained (global) optimization problem:
For a user defined sorted real values vector:
xi = [xi(1), … , xi(N+1)]
I need to find unknown vector:
x = [x(1), …, x(L)]
where the integer L is the unknown length of the vector x (L>=0, L = 0 is the trivial case)
and the unknown vector x = [x(1), …, x(L)] must satisfy the following specific conditions:
===============================================================
0. The new "refined" sorted vector xo = union(xi,x), where length(xo) = L+N+1
should to fulfil the following set of conditions:
1. min(xo) = xo(1) = xi(1), max(xo) = xo(L+N+1) = xi(N+1)
2a. max(z(j)/z(j+1),z(j+1)/z(j)) < q_max, for j = 1, 2, … L+N
2b. max(z(j-1)/z(j),z(j)/z(j-1)) < q_max, for j = 2, 2, … L+N+1
where
z(j) = xo(j+1) – xo(j) , z = diff(xo), length(z) = L+N
and
q_max is user defined max ratio, where q_max > 1 (typically q_max ~ 1.05 – 1.2)
3. min(z) -> maximal, minimal distance between xo vector elements should be maximized.
It is obvious that for small L the constraint conditions (2) is not possible to satisfy.

===============================================================

The motivation of this problem is the creation of the so called, "homogenized" 1-D grid, where consecutive distances between elements of vector xo are relatively "slowly" changing.

I will be very happy for any recommendation how to effectively solve this problem using MATLAB + (global) optimization toolbox. I have the following constrained (global) optimization problem:
For a user defined sorted real values vector:
xi = [xi(1), … , xi(N+1)]
I need to find unknown vector:
x = [x(1), …, x(L)]
where the integer L is the unknown length of the vector x (L>=0, L = 0 is the trivial case)
and the unknown vector x = [x(1), …, x(L)] must satisfy the following specific conditions:
===============================================================
0. The new "refined" sorted vector xo = union(xi,x), where length(xo) = L+N+1
should to fulfil the following set of conditions:
1. min(xo) = xo(1) = xi(1), max(xo) = xo(L+N+1) = xi(N+1)
2a. max(z(j)/z(j+1),z(j+1)/z(j)) < q_max, for j = 1, 2, … L+N
2b. max(z(j-1)/z(j),z(j)/z(j-1)) < q_max, for j = 2, 2, … L+N+1
where
z(j) = xo(j+1) – xo(j) , z = diff(xo), length(z) = L+N
and
q_max is user defined max ratio, where q_max > 1 (typically q_max ~ 1.05 – 1.2)
3. min(z) -> maximal, minimal distance between xo vector elements should be maximized.
It is obvious that for small L the constraint conditions (2) is not possible to satisfy.

===============================================================

The motivation of this problem is the creation of the so called, "homogenized" 1-D grid, where consecutive distances between elements of vector xo are relatively "slowly" changing.

I will be very happy for any recommendation how to effectively solve this problem using MATLAB + (global) optimization toolbox. optmization, constrained MATLAB Answers — New Questions

​

I have a student who tried to create her account but entered the wrong university email address. When she retried with the correct email and set up her password, that part worked. However, when she attempted to log in, she received an error message saying the account was blocked. She then tried to change her password and enter the authentication code, but in all cases the attempts were rejected.
How long will she have to wait before trying to create her account again?
Thank you very much in advance for your help.I have a student who tried to create her account but entered the wrong university email address. When she retried with the correct email and set up her password, that part worked. However, when she attempted to log in, she received an error message saying the account was blocked. She then tried to change her password and enter the authentication code, but in all cases the attempts were rejected.
How long will she have to wait before trying to create her account again?
Thank you very much in advance for your help. I have a student who tried to create her account but entered the wrong university email address. When she retried with the correct email and set up her password, that part worked. However, when she attempted to log in, she received an error message saying the account was blocked. She then tried to change her password and enter the authentication code, but in all cases the attempts were rejected.
How long will she have to wait before trying to create her account again?
Thank you very much in advance for your help. account blocked MATLAB Answers — New Questions

​

The following code is expected to plot the output of Rosenbrock’s function against number of iterations ( *for the sake of the problem, don’t be concerned with the quality of the source code*).

function value = banana(x0)
a = x0(1);
b = x0(2);
x = x0(3);
y = x0(4);
value = (1 – x + a)^2 + 100 * (y – b * (x – a)^2)^2;
end

a = int8(4 * rand()) / 2;
b = int8(4 * rand()) / 2;

[x1, y1] = random(a, b);
[x2, y2] = random(a, b);
[x3, y3] = random(a, b);
[x4, y4] = random(a, b);

x = [x1; x2; x3; x4];
y = [y1; y2; y3; y4];

save values.mat;

for i = 1
x0 = [a, b, x(i), y(i)];

options = optimset(‘PlotFcns’, { @optimplotfval });
[solution_point, fval,exitflag,output] = fminsearch(@banana,double(x0),options);

old_x=[x(i),y(i)];
new_x_1 = linspace(-2,2,51);
new_x_2 = linspace(-2,2,51);

for j=1:51
if(new_x_1(j)>= old_x(1))
new_x_1(j)=old_x(1);
break;
end
end

for j=1:51
if(new_x_2(j)>= old_x(2))
new_x_2(j)=old_x(2);
break;
end
end
end

<</matlabcentral/answers/uploaded_files/66646/untitled.png>>

*My questions are,*

(1) Is this plot really showing the output of Rosenbrock’s function against number of iterations?

(2) The plot shows a sudden slump in the output of the function. I need to show this plot in logarithmic form, so that a smooth curve is plotted. How can I do that?The following code is expected to plot the output of Rosenbrock’s function against number of iterations ( *for the sake of the problem, don’t be concerned with the quality of the source code*).

function value = banana(x0)
a = x0(1);
b = x0(2);
x = x0(3);
y = x0(4);
value = (1 – x + a)^2 + 100 * (y – b * (x – a)^2)^2;
end

a = int8(4 * rand()) / 2;
b = int8(4 * rand()) / 2;

[x1, y1] = random(a, b);
[x2, y2] = random(a, b);
[x3, y3] = random(a, b);
[x4, y4] = random(a, b);

x = [x1; x2; x3; x4];
y = [y1; y2; y3; y4];

save values.mat;

for i = 1
x0 = [a, b, x(i), y(i)];

options = optimset(‘PlotFcns’, { @optimplotfval });
[solution_point, fval,exitflag,output] = fminsearch(@banana,double(x0),options);

old_x=[x(i),y(i)];
new_x_1 = linspace(-2,2,51);
new_x_2 = linspace(-2,2,51);

for j=1:51
if(new_x_1(j)>= old_x(1))
new_x_1(j)=old_x(1);
break;
end
end

for j=1:51
if(new_x_2(j)>= old_x(2))
new_x_2(j)=old_x(2);
break;
end
end
end

<</matlabcentral/answers/uploaded_files/66646/untitled.png>>

*My questions are,*

(1) Is this plot really showing the output of Rosenbrock’s function against number of iterations?

(2) The plot shows a sudden slump in the output of the function. I need to show this plot in logarithmic form, so that a smooth curve is plotted. How can I do that? The following code is expected to plot the output of Rosenbrock’s function against number of iterations ( *for the sake of the problem, don’t be concerned with the quality of the source code*).

function value = banana(x0)
a = x0(1);
b = x0(2);
x = x0(3);
y = x0(4);
value = (1 – x + a)^2 + 100 * (y – b * (x – a)^2)^2;
end

a = int8(4 * rand()) / 2;
b = int8(4 * rand()) / 2;

[x1, y1] = random(a, b);
[x2, y2] = random(a, b);
[x3, y3] = random(a, b);
[x4, y4] = random(a, b);

x = [x1; x2; x3; x4];
y = [y1; y2; y3; y4];

save values.mat;

for i = 1
x0 = [a, b, x(i), y(i)];

options = optimset(‘PlotFcns’, { @optimplotfval });
[solution_point, fval,exitflag,output] = fminsearch(@banana,double(x0),options);

old_x=[x(i),y(i)];
new_x_1 = linspace(-2,2,51);
new_x_2 = linspace(-2,2,51);

for j=1:51
if(new_x_1(j)>= old_x(1))
new_x_1(j)=old_x(1);
break;
end
end

for j=1:51
if(new_x_2(j)>= old_x(2))
new_x_2(j)=old_x(2);
break;
end
end
end

<</matlabcentral/answers/uploaded_files/66646/untitled.png>>

*My questions are,*

(1) Is this plot really showing the output of Rosenbrock’s function against number of iterations?

(2) The plot shows a sudden slump in the output of the function. I need to show this plot in logarithmic form, so that a smooth curve is plotted. How can I do that? optimization, plotting, graphics, graph MATLAB Answers — New Questions

​

In my first Matlab function, I set the input to a 4×1 vector, a feedback vector, and a scalar, but the output is a scalar. Please tell me how to make the output a 4×1 vector. I have attached my simulink fileIn my first Matlab function, I set the input to a 4×1 vector, a feedback vector, and a scalar, but the output is a scalar. Please tell me how to make the output a 4×1 vector. I have attached my simulink file In my first Matlab function, I set the input to a 4×1 vector, a feedback vector, and a scalar, but the output is a scalar. Please tell me how to make the output a 4×1 vector. I have attached my simulink file simulink MATLAB Answers — New Questions

​

I am finding the structName.?ClassName method of arguments validation does not work when trying to validate name-value arguments for the VideoWriter class.
I have a short function:
function myDemo(videoData,fileName,vwOpts)
arguments
videoData
fileName
vwOpts.?VideoWriter
end
disp(vwOpts);
videoObj = VideoWriter(fileName);
% Open video, write, close, etc.
end % MakeVideo
I would expect that calling this function with VideoWriter properties such as FrameRate would result in vwOpts being a struct that contains values passed to the function. However, I am getting the error:
>> myDemo(0:10,"myVideo.avi","FrameRate",20)
Error using myDemo
Too many input arguments.
I validated my approach by attempting to filter for arguments to the Bar() function by mimicking the matlab.graphics.chart.primitive.Bar example shown in the documentation and was successful.
I noticed I get this same error when failing to specify the full name of the Bar class, so looked for other methods of specifying the VideoWriter class, using matlab.audiovideo.VideoWriter as the full class name, with no success.
What am I missing about this approach? Is there a way of locating the full name of the VideoWriter class, or is there some reason I should not expect this example to work?
Thanks!I am finding the structName.?ClassName method of arguments validation does not work when trying to validate name-value arguments for the VideoWriter class.
I have a short function:
function myDemo(videoData,fileName,vwOpts)
arguments
videoData
fileName
vwOpts.?VideoWriter
end
disp(vwOpts);
videoObj = VideoWriter(fileName);
% Open video, write, close, etc.
end % MakeVideo
I would expect that calling this function with VideoWriter properties such as FrameRate would result in vwOpts being a struct that contains values passed to the function. However, I am getting the error:
>> myDemo(0:10,"myVideo.avi","FrameRate",20)
Error using myDemo
Too many input arguments.
I validated my approach by attempting to filter for arguments to the Bar() function by mimicking the matlab.graphics.chart.primitive.Bar example shown in the documentation and was successful.
I noticed I get this same error when failing to specify the full name of the Bar class, so looked for other methods of specifying the VideoWriter class, using matlab.audiovideo.VideoWriter as the full class name, with no success.
What am I missing about this approach? Is there a way of locating the full name of the VideoWriter class, or is there some reason I should not expect this example to work?
Thanks! I am finding the structName.?ClassName method of arguments validation does not work when trying to validate name-value arguments for the VideoWriter class.
I have a short function:
function myDemo(videoData,fileName,vwOpts)
arguments
videoData
fileName
vwOpts.?VideoWriter
end
disp(vwOpts);
videoObj = VideoWriter(fileName);
% Open video, write, close, etc.
end % MakeVideo
I would expect that calling this function with VideoWriter properties such as FrameRate would result in vwOpts being a struct that contains values passed to the function. However, I am getting the error:
>> myDemo(0:10,"myVideo.avi","FrameRate",20)
Error using myDemo
Too many input arguments.
I validated my approach by attempting to filter for arguments to the Bar() function by mimicking the matlab.graphics.chart.primitive.Bar example shown in the documentation and was successful.
I noticed I get this same error when failing to specify the full name of the Bar class, so looked for other methods of specifying the VideoWriter class, using matlab.audiovideo.VideoWriter as the full class name, with no success.
What am I missing about this approach? Is there a way of locating the full name of the VideoWriter class, or is there some reason I should not expect this example to work?
Thanks! arguments validation MATLAB Answers — New Questions

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