Not Enough Input Arguments

Hi, I'm very new to MATLAB and I am having some trouble. Lots of people have had the same problem but nobody seems to be able to explain or solve it in plain English. Could somebody please explain what this error is and how to fix it?

I have a simple function:

function [r]=Mec134function(w,theta_deg)
    t2=10000;
    theta_rad=(theta_deg./180).*pi;
    t1=55090./(10*sin(theta_rad));
    rx=(t1.*cos(theta_rad))-t2;
    ry=w-(t1.*sin(theta_rad));
    r=((rx).^2+(ry).^2).^0.5;
end

It seems to give this error for line 3 but I'm not sure why.

Thanks.

[Jonathan Epperl]

You call a function with not enough input arguments, as an example

sin()

will give you that error, because sin needs an argument -- what number do you want to compute the sine of?

Maybe you should start by working through the "Getting Started" in the Matlab Help, won't take you long but make a lot of things clear.

[Vijayan G]

[rows,M]=size(r); if (rows > M) M=rows; r=r'; end;

i am getting error in this like

Not enough input arguments

[xiao8572]

Maybe this is a function, such as : Function s = sum(a , b) , you should input some arguments, a and b. Hope my answer could help you .

[Chaitanya Bade]

Hi, I am having the same issue with the below code. would you be able to help me out with this please. Thanks in advance. [fitresult, gof] = fit(n, rn)

[Jan]

@Chaitanya: The error message is clear: The function fit() requires more than 2 inputs. See https://www.mathworks.com/help/curvefit/fit.html.

[Shrooq Alanazi]

hi, I have a problem in Matlab code send me this message in runtime

 Not enough input arguments.

Error in PCA (line 2) cov_img_train = m_img_train'*m_img_train;

how to solve

[Walter Roberson]

You need to pass a vector or 2D array as an argument to your PCA function. Or perhaps your m_img_train is somehow defined as a function.

[krishnama raju]

sir in this code executing in matlab showing error in line 38.https://codeocean.com/capsule/7635653/tree/v1

[Walter Roberson]

Line 38 of which function?

[Rameen Mirzada]

hi guys i have been facing this error for my code can anyone share their opinion

function f=TLD_SDOF(t,y)
global m mb mc k kc ke uy alpha c cc beta gamma n ag_h Time ag 
ag=interp1(Time,ag_h,t,'cubic');
if t>max(Time)
    ag=o;
end
f=[y(2);
    (-1/mb)*(alpha*ke*y(1)+(1-alpha)*ke*uy*y(7)-c*(y(4)-y(2))-cc*(y(6)-y(2))-k*(y(5)-y(1))-kc*(y(5)-y(1)))-ag;
    y(4);
    (-1/m)*(c*(y(4)-y(2))+k*(y(3)-y(1)))-ag;
    y(6);
    ( -1/mc)*(cc*(y(6)-y(2))+kc*(y(5)-y(1)))-ag;
    (-1/uy)*(gamma*abs(y(2))*y(7)*abs(y(7))^(n-1)+beta*y(2)*abs(y(7))^(n)-y(2))];
end

Not enough input arguments.

Error in TLD_SDOF (line 3)

ag=interp1(Time,ag_h,t,'cubic');

[Walter Roberson]

That code is not intended to be called directly. That code is intended to be invoked by ode45 or ode15s or similar functions, but not until some other code has been run to initialize global variables.

Note:

ag=o;

You do not have any variable named o. You probably wanted 0 (zero) at that point.

[Steven Lord]

Based on the signature I'm guessing you're writing this for use as the first input in a call to one of the ODE solvers. If that's correct I'm guessing your ODE solver call probably looks something like:

[t, y] = ode45(TLD_SDOF, ...)

That will attempt to call TLD_SDOF with 0 input arguments and pass the function handle that call returns into ode45 as its first input. But your TLD_SDOF function uses both its inputs and so it must be called with 2 input arguments.

The solution is to not call TLD_SDOF yourself but to pass a function handle to it into the ODE solver. The ODE solver can then use that function handle to call your function and the ODE solver will pass the two required inputs into TLD_SDOF when it does.

[t, y] = ode45(@TLD_SDOF, ...)

As a side note, instead of sharing data with your ODE function using global variables I strongly recommend you use one of the techniques described on this documentation page instead. Trying to debug an issue related to why a global variable doesn't have the value you expect is almost always very difficult and time consuming.

[Walter Roberson]

If there had been a wrapper script calling ode45 then the traceback should have shown another line showing the place TLD_SDOF was called.

So either the user chopped the error message (certainly a possibility), or else the user invoked TLD_SDOF directly without any wrapper script, probably by pressing the green Run button (which is something thath appens a lot of the time.)

Answer 1

[Akiva Gordon]

Your function defines 2 input arguments (w and theta_deg). When you run Mec134function, you must specify exactly two inputs, otherwise you will get the error "Not enough input arguments".

For example, if you run the Mec134function in the command window without specifying any arguments:

>> Mec134function

You get this error:

Not enough input arguments.
Error in Mec134function (line 3)
theta_rad=(theta_deg./180).*pi;

If you run the Mec134function and specify two input arguments, "w" and "theta_deg" (assuming "w" and "theta_deg" are defined), you do not get the error message:

>> Mec134function(w,theta_deg)

If you have the file "Mec134function.m" open in the Editor and you try to run the function by pressing the "Run" button or F5, MATLAB runs the Mec134function without any input arguments, and you get the error "Not enough input arguments". The "Run" button dropdown menu then opens prompting you to enter values for the missing input arguments.

Add the desired values and press enter. The values you enter are set as the default inputs when you click the "Run" button or F5 in the future.

To change the values, press the down arrow below the "Run" button and enter new values.

[Nyasha Suliali]

Thank you Akiva, entering the complete function (with variables as in its definition) worked for me!

[Guiyeoul Lim]

Thanks man! that worked!

[uma]

But after doing this it shows

Unrecognized function or variable 'X'.

[Walter Roberson]

Are you sure? I do not see any x or X variable in any code here until you scroll way down to

https://www.mathworks.com/matlabcentral/answers/53100-not-enough-input-arguments#answer_248618

[Evan Curatolo]

Oh man. Bless your soul. Thank you for this comment.

[Achintya Sujan]

Thank you Akiva, your comment below helped me clear the "Not enough input arguments" error in my MATLAB program.

"If you have the file "Mec134function.m" open in the Editor and you try to run the function by pressing the "Run" button or F5, MATLAB runs the Mec134function without any input arguments, and you get the error "Not enough input arguments".

[Cedric Kouokam Kamdem]

thanks Akiva you coment was very helpfull for me

Answer 2

[TheLimpNinja]

sorry the function is

function [r]=Mec134function(w,theta_deg)

t2=10000;

theta_rad=(theta_deg./180).*pi;

t1=55090./(10*sin(theta_rad));

rx=(t1.*cos(theta_rad))-t2;

ry=w-(t1.*sin(theta_rad));

r=((rx).^2+(ry).^2).^0.5;

end

if that's clearer :-)

[Jonathan Epperl]

This function needs 2 input arguments, w and theta_deg. If you type into the command window

Mec134function(2*pi, 120)

you should not be getting an error. If you do, please post your whole command and the whole error message.

[David Barry]

Jonathan is correct, please ignore the other answer below.

As a complete aside, MATLAB has commands deg2rad and rad2deg.

[Steven Lord]

Prior to release R2015b the deg2rad and rad2deg functions were part of Mapping Toolbox. In that release they moved into MATLAB.

As another solution that avoids converting between degrees and radians, MATLAB also has functions sind and cosd for computing the sine and cosine of angles in degrees and those have been part of MATLAB for quite some time. [I don't remember exactly when they were introduced.]

Answer 3

[TheLimpNinja]

Thanks :-)

will have a look at the "getting started"

I have a simple function:

function [r]=Mec134function(w,theta_deg)
t2=10000;
theta_rad=(theta_deg./180).*pi;
t1=55090./(10*sin(theta_rad));
rx=(t1.*cos(theta_rad))-t2;
ry=w-(t1.*sin(theta_rad));
r=((rx).^2+(ry).^2).^0.5;
end

that seems to give this error for line 2 but I'm not sure why.

[Jan]

@TheLimpNinja: Please add all details, which describe the problem in the questions - you can edit it. The answers section is reserved for answers.

[Waldemiro Kubucama]

Hello, first press button "Run" in Matlab and after only you press the button "ENTER" i your computer. I think your problem will be solved.

Answer 4

[Brian Batson]

I too am very new to Matlab, and tried to run the code above in .m (JP Donlon on Nov. 7th). However, I keep getting an error stating "Not enough input arguments." I'm not sure what this means, because I have attempted to run other code by professors which works on other computers. Is it something with my preference settings?

Also, when I run the Code Analyzer, there are no issues...not sure what is going on.

[Walter Roberson]

How are you initiating the running of the code?

[Image Analyst]

When you called Mec134function(), did you pass in two arguments, or did you even pass in any arguments at all? You didn't just write that code into Mec134function.m and click the green run button did you? Because it needs two arguments. Did you pass it two arguments? That's what it means when it says "Not enough input arguments" - that you didn't pass in enough input arguments.

[Prerna Singh]

Hi,

Could you please explain what do you mean by passing the arguments?

Thanks

prerna

[Walter Roberson]

https://www.mathworks.com/matlabcentral/answers/53100-not-enough-input-arguments#comment_109973

Answer 5

[Annie micheal]

How to rectify this error

Error using DetectFace (line 68)
Not enough input arguments.

the code is given below

I=imread('lena.jpg');
minFace = 20; % minimal size of the face that you are searching for 
maxFace = 4000; % maximal size of the face that you are searching for 
overlappingThreshold = 0.5; % overlapping threshold for grouping nearby detections
numThreads = 24; % number of cpu threads for parallel computing

if nargin > 2 && ~isempty(options)
    if isfield(options, 'minFace') && ~isempty(options.minFace)
        minFace = options.minFace;
    end
    if isfield(options, 'maxFace') && ~isempty(options.maxFace)
        maxFace = options.maxFace;
    end
    if isfield(options, 'overlappingThreshold') && ~isempty(options.overlappingThreshold)
        overlappingThreshold = options.overlappingThreshold;
    end
    if isfield(options, 'numThreads') && ~isempty(options.numThreads)
        numThreads = options.numThreads;
    end
end

%%test detector

if ~ismatrix(I)
    I = rgb2gray(I);
end

candi_rects = NPDScan(model, I, minFace, maxFace, numThreads);

%%post processing
if isempty(candi_rects)
    rects = [];
    return;
end

[Walter Roberson]

Please post the complete error message, everything in red.

The use of nargin, and the return near the end of the code, suggest strongly that you have posted part of the code for a function. We need to see the entire function, and we need to see what arguments you passed to the function.

NPDScan is not part of MATLAB. Are you getting it from https://github.com/biotrump/NPD/blob/master/NPDFaceDetector_Train/src/NPDScan.cpp ?

[Annie micheal]

yeah i got it from NPDFaceDetector...

the entire code is

I=imread('lena.jpg');
minFace = 20; % minimal size of the face that you are searching for 
maxFace = 4000; % maximal size of the face that you are searching for 
overlappingThreshold = 0.5; % overlapping threshold for grouping nearby detections
numThreads = 24; % number of cpu threads for parallel computing

if nargin > 2 && ~isempty(options)
    if isfield(options, 'minFace') && ~isempty(options.minFace)
        minFace = options.minFace;
    end
    if isfield(options, 'maxFace') && ~isempty(options.maxFace)
        maxFace = options.maxFace;
    end
    if isfield(options, 'overlappingThreshold') && ~isempty(options.overlappingThreshold)
        overlappingThreshold = options.overlappingThreshold;
    end
    if isfield(options, 'numThreads') && ~isempty(options.numThreads)
        numThreads = options.numThreads;
    end
end

%%test detector

if ~ismatrix(I)
    I = rgb2gray(I);
end

candi_rects = NPDScan(model, I, minFace, maxFace, numThreads);

%%post processing
if isempty(candi_rects)
    rects = [];
    return;
end

numCandidates = length(candi_rects);
predicate = eye(numCandidates); % i and j belong to the same group if predicate(i,j) = 1

% mark nearby detections
for i = 1 : numCandidates
    for j = i + 1 : numCandidates
        h = min(candi_rects(i).row + candi_rects(i).size, candi_rects(j).row + candi_rects(j).size) - max(candi_rects(i).row, candi_rects(j).row);
        w = min(candi_rects(i).col + candi_rects(i).size, candi_rects(j).col + candi_rects(j).size) - max(candi_rects(i).col, candi_rects(j).col);
        s = max(h,0) * max(w,0);

          if s / (candi_rects(i).size^2 + candi_rects(j).size^2 - s) >= overlappingThreshold
              predicate(i,j) = 1;
              predicate(j,i) = 1;
          end
      end
  end

% merge nearby detections
[label, numCandidates] = Partition(predicate);

rects = struct('row', zeros(numCandidates,1), 'col', zeros(numCandidates,1), ...
    'size', zeros(numCandidates,1), 'score', zeros(numCandidates,1), ...
    'neighbors', zeros(numCandidates,1));

for i = 1 : numCandidates
    index = find(label == i);
    weight = Logistic([candi_rects(index).score]');
    rects(i).score = sum( weight );
    rects(i).neighbors = length(index);

      if sum(weight) == 0
          weight = ones(length(weight), 1) / length(weight);
      else
          weight = weight / sum(weight);
      end

      rects(i).size = floor([candi_rects(index).size] * weight);
      rects(i).col = floor(([candi_rects(index).col] + [candi_rects(index).size]/2) * weight - rects(i).size/2);
      rects(i).row = floor(([candi_rects(index).row] + [candi_rects(index).size]/2) * weight - rects(i).size/2);
  end

clear candi_rects;

% find embeded rectangles
predicate = false(numCandidates); % rect j contains rect i if predicate(i,j) = 1

for i = 1 : numCandidates
    for j = i + 1 : numCandidates
        h = min(rects(i).row + rects(i).size, rects(j).row + rects(j).size) - max(rects(i).row, rects(j).row);
        w = min(rects(i).col + rects(i).size, rects(j).col + rects(j).size) - max(rects(i).col, rects(j).col);
        s = max(h,0) * max(w,0);

          if s / rects(i).size^2 >= overlappingThreshold || s / rects(j).size^2 >= overlappingThreshold
              predicate(i,j) = true;
              predicate(j,i) = true;
          end
      end
  end

flag = true(numCandidates,1);

% merge embeded rectangles
for i = 1 : numCandidates
    index = find(predicate(:,i));

      if isempty(index)
          continue;
      end

      s = max([rects(index).score]);
      if s > rects(i).score
          flag(i) = false;
      end
  end

rects = rects(flag);

% check borders
[height, width, ~] = size(I);
numFaces = length(rects);

for i = 1 : numFaces
    if rects(i).row < 1
        rects(i).row = 1;
    end

      if rects(i).col < 1
          rects(i).col = 1;
      end

      rects(i).height = rects(i).size;
      rects(i).width = rects(i).size;

      if rects(i).row + rects(i).height - 1 > height
          rects(i).height = height - rects(i).row + 1;
      end

      if rects(i).col + rects(i).width - 1 > width
          rects(i).width = width - rects(i).col + 1;
      end    
  end
  end

function Y = Logistic(X)
    Y = log(1 + exp(X));
    Y(isinf(Y)) = X(isinf(Y));
end

[Walter Roberson]

Why did you use nargin and return when you wrote this script ? nargin is defined as being 0 within scripts and return can lead to odd behavior when used within a script .

When I search around, it looks to me as if this code is ripped off from https://github.com/biotrump/NPD/blob/master/NPDFaceDetector/DetectFace.m which is a function not a script . An example of calling that function is given in the comments there:

     I = imread('lena.jpg');
     load('model.mat');
     rects = DetectFace(npdModel, I);

You cannot just remove the function line from a function and assign to one variable and expect it to work.

Answer 6

[REEMA MOHANTY]

clc; clear; close all;
xo=0.4;
A=[];
b=[];
Aeq=[];
beq=[];
 Q=100;
 R=1;
N = 50;
U0= zeros(100,1);
% Umin= -1*ones(100,1);
% Umax=1*ones(100,1);
% U = fmincon(@cost1,U0,A,b,Aeq,beq,Umin,Umax,[],[],N);
x=xo; h = 0.1;
xo=[-0.5,0.5];
options = optimoptions(@fmincon,'Algorithm','sqp');
U = fmincon(@cost1,U0,[],[],[],[],[],[],@confuneq,options);
for k =1:N
    S1= F(x(k),U(k));
    S2=F(x(k)+0.5*h*S1,U(k));
    S3=F(x(k)+0.5*h*S2,U(k));
    S4=F(x(k)+h*S3,U(k));
    x(k+1) = x(k) + (1/6)* (S1+ 2*S2+ 2*S3 + S4)*h;
    k = k + 1 ;   
end

% plot(x);
 plot(U);
 grid on
 figure(); plot(x)
grid on

I new to matlab.Can anyone help me to fix the iisue here.

Its showing not enough input arguments.

Answer 7

[vani shree]

Hello sir,I am newer to matlab. I am getting error in this code like "preprocessing requries more input arugument to run". can you please to run this program. my project topic is recognition and matching fake logos using filters.

   function img=preprocessing(I)
  [x y o]=size(I);
  if o==3
     I=rgb2gray(I);
  end
  I=im2double(I);
  %%MEDIAN FILTER
  med=medfilt2(I);
  figure,imshow(med)
  title('MEDIAN FILTERED IMAGE')
  [psnr_med,mse_med]=psnr(I,med)

%%AVERAGE FILTER
out7= imfilter(I, fspecial('average'));
figure,imshow(out7)
title('MEAN FILTERED IMAGE')
[psnr_avg,mse_avg]=psnr(I,out7)

%%GAUSSIAN FILTER
gau=imfilter(I,fspecial('gaussian'));
figure,imshow(gau)
title('GAUSSIAN FILTER IMAGE')
[psnr_gau,mse_avg]=psnr(I,gau)

%%WEINER FILTER
psf=fspecial('gaussian',7,10);
image1=imfilter(I,psf,'conv','circular');
var1=(1/256)^2/12;
var2=var(I(:));
wei=deconvwnr(image1,psf,(var1/var2));
figure,imshow(wei);title('WEINER FILTERED IMAGE');
[psnr_wei,mse_wei]=psnr(I,wei)

psnr_all=[psnr_med,psnr_avg,psnr_gau,psnr_wei];
psnr_max=max(psnr_all);
val=find(psnr_all==psnr_max);
if val==1
    img=med;
    disp('median have high psnr');
elseif val==2
    img=out7;
    disp('mean have high psnr');
elseif val==3
    img=gau;
    disp('gaussian have high psnr');
else
    img=wei;
    disp('weiner have high psnr');

end

[Walter Roberson]

You cannot (typically) run functions just by clicking on the Run button. You have to go down to the command line and give the function name and indicate what parameters you are passing to it.

For example, at the command line you might do

MyImage = imread('cameraman.tif');
MyNewImage = preprocessing(MyImage);

This creates an image in the first line, and passes it to the preprocessing function in the second line, and assigns the result of preprocessing to the variable MyNewImage

[vani shree]

thank you very much sir. and i have some other doubts regarding my project.my project title is recognition and detection of lake logos by context. i done 60% of coding like preprocessing and SIFT process but i dont know how to compare fake logo and original logo and the output should display which is fake logo. can u please help me to compare these two images.

[Steven Lord]

vani shree, you should ask this as a separate question since it's not related to the "not enough input arguments" original question. Show what you've written and ask a specific question about where you're having difficulty and you may receive some guidance.

Answer 8

[Ganesh Petkar]

I am getting error for below function as "Not enough input arguments. "

delayed_signal = mtapped_delay_fcn(input);

[Walter Roberson]

input is a MATLAB function call. See https://www.mathworks.com/help/matlab/ref/input.html

Answer 9

[Wendell]

Hi I'm trying to run Dr. John Stockie's matlab code but I am getting a "Not enough input argument" error. I'm not very well verse with Matlab, so I would appreciate any help...Thank you. I am pasting the code:

function C = ermak( x, y, z, H, Q, U, Wset, Wdep )
% ERMAK: Compute contaminant concentration (kg/m^3) using the
%   Gaussian plume model, modified for a deposition and settling
%   velocity.  This code handles a single source (located at the
%   origin) and multiple receptors.
%
% Input parameters:
%
%     x - receptor locations: distance along the wind direction, with
%         the source at x=0 (m) 
%     y - receptor locations: cross-wind direction (m)
%     z - receptor locations: vertical height (m)
%     H - source height (m)
%     Q - contaminant emission rate (kg/s)
%     U - wind velocity (m/s)
%     Wset - gravitational settling velocity (m/s)
%     Wdep - deposition velocity (m/s)
%
% Output:
%
%     C - contaminant concentration (kg/m^3)
%
% References: Ermak (1977), Winges (1990/1992).

% First, define the cut-off velocity, below which concentration = 0.
Umin      = 0.0;

% Determine the sigma coefficients based on stability class C --
% slightly unstable (3-5 m/s). 
ay = 0.34;  by = 0.82;  az = 0.275; bz = 0.82;  
sigmay = ay*abs(x).^by .* (x > 0);
sigmaz = az*abs(x).^bz .* (x > 0);

% Calculate the eddy diffusivity (m^2/s).
Kz = 0.5*az*bz*U*abs(x).^(bz-1) .* (x > 0);  % K = 0.5*U*d(sigma^2)/dx

% Calculate the contaminant concentration (kg/m^3) using Ermak's formula.
if U < Umin,
  C = 0 * z;
else
  Wo = Wdep - 0.5*Wset;
  C  = Q ./ (2*pi*U*sigmay.*sigmaz) .* exp( -0.5*y.^2./sigmay.^2 ) .* ...
       exp( -0.5*Wset*(z-H)./Kz - Wset^2*sigmaz.^2/8./Kz.^2 ) .* ...
       ( exp( -0.5*(z-H).^2./sigmaz.^2 ) + ...
   exp( -0.5*(z+H).^2./sigmaz.^2 ) - sqrt(2*pi)*Wo*sigmaz./Kz .* ...
   exp( Wo*(z+H)./Kz + 0.5*Wo^2*sigmaz.^2./Kz.^2 ) .* ...
   erfc( Wo*sigmaz/sqrt(2)./Kz + (z+H)./sqrt(2)./sigmaz ) );
  ii = find(isnan(C) | isinf(C));
  C(ii) = 0;   % Set all NaN and inf values to zero.
end

and the error message refers to "sigmay" in line 31

[Walter Roberson]

Please read the previous Answers here.

Answer 10

[aarthy reddy R]

function test(num1, num2,small,s)
load (small, num1, num2)
s = sum(num1, num2)
end

this the code for this i'm getting these errors

Not enough input arguments.
Error in test (line 3)
load (small, num1, num2)

[Walter Roberson]

You are trying to run the function without providing any input arguments.

What is the expected datatype of the variable named small? At the moment I cannot think of any Mathworks supplied class that has a method named load() that takes 3 arguments.

[aarthy reddy R]

load(filename, var1, var2)

so it is having 3 arguments

[Walter Roberson]

Okay, well you are trying to run test without passing in at least 3 input arguments. For example you might be trying to just press the green Run button, instead of going down to the command line and issuing a command in the command window.

[Walter Roberson]

Note: if you pass in the name of a variable as the fourth parameter, then the function you posted will not set that variable to the result of the sum. If you want to return a value in MATLAB you need to code it on the left side of an "=" in the function line. For example,

function s = test(num1, num2, small)
    load (small, num1, num2)
    s = sum(num1, num2)
end

This is unlikely to work the way you want it. In order for the load() to work there, small and num1 and num2 would each have to be a character vector or else a scalar string variable, and num1 and num2 would have to be in the same form as valid MATLAB variable names. Those names would have to be found inside the .mat file named by the small variable.

With the form of load() you have used, MATLAB would normally "poof" the variable names into existence. However, when you use end matching a function statement, you make a promise to MATLAB that you will not poof variables into existence, and MATLAB is permitted to give an error or to ignore the magically created variables. Therefore after the load, num1 and num2 are probably going to continue to be the character vectors or string objects, and you would attempt to call sum() passing those in. sum() would give an error if the first parameter, num1 is a string object, but would be okay with num1 being a character vector. There are a limited number of character vectors or scalar string objects that are valid for the second parameter of sum(), namely 'all', 'double', 'native', 'default', 'includenan', or 'omitnan' . It would be surprising if you happened to name your variables any of those...

Answer 11

[Chapat]

Hello. Am new in Matlab and I want to do my assignment with this function refraction_2layers and Matlab is saying error using refraction_2layers (line 18 and 25) Here is the whole program

function refraction_2layers(v1, v2, z, FIRST_ARRIVALS_ONLY);
% refraction_2layers(v1, v2, z);
%
% Creates travel time plots for a two-layers system with layer velocities 
% v1 and v2 and layer 1 thickness of z 
% The FIRST_ARRIVALS_ONLY FLAG may be set to 1 to plot only the first arrivals. By
% default, all arrivals are plotted.
if nargin < 4 FIRST_ARRIVALS_ONLY = 0; end
%% X-positions for geophones (m, relative to source)
x = [0:5:300];
%% Direct wave %% Travels along ground surface (at velocity v1)
t1 = x./v1;
%% Head wave
%% Refracts along z1-z2 boundary
%% Travel time depends on velocities of both layers 
%% and thickness of layer 1 only (thickness of layer 2 irrelevant)
t2 = (2*z*sqrt(v2^2-v1^2)/(v1*v2))+x./v2; %% Note slope should be 1/v2!
xcrit = 2*z*v1/(sqrt(v2^2-v1^2));
if isreal(xcrit)
    a = min(find(x>xcrit));
end
crossover = ((2*z*sqrt(v2^2-v1^2))/(v1*v2))/(1/v1-1/v2);
b = max(find(x<= crossover));
if FIRST_ARRIVALS_ONLY
    plot(x(1:b),t1(1:b)*1000, '.--')
    hold on
    if isreal(t2)
        plot(x(b:end), t2(b:end)*1000, 'r.--')
    end
else
    plot(x,t1*1000, '.--')
    hold on
    if isreal(t2)
        plot(x(a:end), t2(a:end)*1000, 'r.--')
    end
end

xlabel('GEOPHONE OFFSET (m)')
    ylabel('TIME (ms)')
    grid on 
    legend('DIRECT WAVE', 'HEAD WAVE')
    title(['z1 = ', num2str(z), ' m; v1 = ', num2str(v1), ' m/s; v2 = ', num2str(v2), ' m/s'])
    axis ([0 300 0 300])
    hold off

[Walter Roberson]

Chapat:

I formatted your code for you to make it readable to other people, but I suspect that I did not exactly preserve the line boundaries, so we do not know which lines are giving you the problem. Please mark them by using comments. Please also give the exact error messages.

Also please check the position of the end statements. It looked to me as if you might have had two extra end statements.

Answer 12

[Josilyn Dostal]

I am really struggling to figure out this "not enough input arguments" error in my code. Any help would be greatly appreciated! This is for a batch distillation problem, and the error is referring to the temp function near the bottom. The code and error are below:

P = 912; % mmHg or 1.2 atm
L0 = 100; % Moles liquid in the still initially
A = [6.90565 6.95464]; B=[1211.033 1344.8]; C=[220.79 219.482]; % Antoine Constants
% x0 = [0.60 0.40]; % Initial liquid concentration xb = 60% xt = 40%
% xf = [0.20 0.80]; % Final liquid concentration xb = 20% xt = 80%
xtspan = linspace(0.40,0.80,100);
[xt, L] = ode45(@Moles, xtspan, L0);
L = L(end);
fprintf('The amount of liquid remaining in the still when liquid mole fraction of toluene reaches 0.80 is %f moles', L);

    % Vapor liquid equilibrium ratio, K
    function Kt = EquilibriumRatio(Psatt)   
        Kt = Psatt/P;
    end    
        % Toluene vapor pressure
        function Psatt = VaporPressuret(T,A,B,C)
            Psatt = 10^(A(2)-B(2)/(T+C(2)));
        end
            % Benzene vapor pressure
            function Psatb = VaporPressureb(T,A,B,C)
                Psatb = 10^(A(1)-B(1)/(T+C(1)));
            end
                % ODE
                function dLdx = Moles(xt,L)
                    T0 = 95.585;
                    %options = odeset('RelTol',1e-6,'AbsTol',1e-8);
                    %options = optimset('PlotFcns',{@optimplotx,@optimplotfval});
                    %options = optimset('Display','iter'); % show iterations
                    options = optimset('Display','off','TolX',1e-6); % Options
                    T = fzero(@temp, T0, options);
                    Psatt = VaporPressuret(T);
                    Kt = EquilibriumRatio(Psatt);
                    dLdx = L/(xt*(Kt-1));
                end
function Tempfun = temp(T,xt,P,A,B,C)
    Psatt = VaporPressuret(T,A,B,C);
    Psatb = VaporPressureb(T,A,B,C);
    Tempfun = Psatt*xt + Psatb*(1-xt) - P;
end

>> project2
Error using fzero (line 306)
FZERO cannot continue because user-supplied function_handle ==> temp failed with the error below.

 Not enough input arguments.

Error in project2>Moles (line 30)
                    T = fzero(@temp, T0, options);

Error in odearguments (line 90)
f0 = feval(ode,t0,y0,args{:});   % ODE15I sets args{1} to yp0.

Error in ode45 (line 115)
  odearguments(FcnHandlesUsed, solver_name, ode, tspan, y0, options, varargin);

Error in project2 (line 7)
[xt, L] = ode45(@Moles, xtspan, L0);

[Walter Roberson]

you are expecting that when your script calls ode45 and that ode45 calls Moles and that Moles calls fzero and fzero calls temp, that temp will somehow look all the way back up the chain to find values for xt P A B C to use in temp.

That never happens. There are no situations in MATLAB in which a missing named parameter has its value found by chasing up the chain of calls to find a variable with the same name as the variable.

And if there were such an resolution operation, what would you do if it turned out that ode45 had variables named A and B and so those values ended up being used instead of following all the way back to the script? Such an operation would require that the child function (temp) know the name of all of the calling functions' variables so as to avoid an accidental name clash. This would be poor programming design.

This is why in all major programming languages, resolution of variables is either positional or lexical (controlled by where the variables declared).

I recommend https://www.mathworks.com/help/matlab/math/parameterizing-functions.html

[Josilyn Dostal]

Thank you! i will try that.

[Josilyn Dostal]

Sorry to ask again, but i did what you said and am now getting a different error. The "not enough input arguments" error is gone, so that's great, thank you! Now the error has a problem with the "+" in my vapor pressure function, which makes no sense to me. Do you have any idea what this means? The code and error are below.

P = 912; % mmHg or 1.2 atm
L0 = 100; % Moles liquid in the still initially
% x0 = [0.60 0.40]; % Initial liquid concentration xb = 60% xt = 40%
% xf = [0.20 0.80]; % Final liquid concentration xb = 20% xt = 80%
xtspan = linspace(0.40,0.80,100);
[xt, L] = ode45(@Moles, xtspan, L0);
L = L(end);
fprintf('The amount of liquid remaining in the still when liquid mole fraction of toluene reaches 0.80 is %f moles', L);

    % Vapor liquid equilibrium ratio, K
    function Kt = EquilibriumRatio(Psatt)   
        Kt = Psatt/P;
    end    
        % Toluene vapor pressure
        function Psatt = VaporPressuret(T)
           At = 6.95464; 
           Bt = 1344.8; 
           Ct = 219.482; % Antoine Constants
           Psatt = 10^(At-(Bt/(T+Ct)));
        end
            % Benzene vapor pressure
            function Psatb = VaporPressureb(T)
                Ab = 6.90565;
                Bb = 1211.033;
                Cb = 220.79;    % Antoine Constants
                Psatb = 10^(Ab-(Bb/(T+Cb)));
            end
                % ODE
                function dLdx = Moles(xt,L)
                    
                    % fzero
                    function T = findzero(~)
                        T0 = 95.585;
                        T = fzero(@temp, T0);
                        
                        % Temperature
                        function Tempfun = temp(T,xt,P)
                                Psatt = VaporPressuret(T);
                                Psatb = VaporPressureb(T);
                                Tempfun = Psatt*xt + Psatb*(1-xt) - P;
                        end 
                    end
                
                    T = @findzero;
                    Psatt = VaporPressuret(T);
                    Kt = EquilibriumRatio(Psatt);
                    dLdx = L/(xt*(Kt-1));
                end
                

Operator '+' is not supported for operands of type 'function_handle'.

Error in project5>VaporPressuret (line 19)
           Psatt = 10^(At-(Bt/(T+Ct)));

Error in project5>Moles (line 45)
                    Psatt = VaporPressuret(T);

Error in odearguments (line 90)
f0 = feval(ode,t0,y0,args{:});   % ODE15I sets args{1} to yp0.

Error in ode45 (line 115)
  odearguments(FcnHandlesUsed, solver_name, ode, tspan, y0, options, varargin);

Error in project5 (line 6)
[xt, L] = ode45(@Moles, xtspan, L0);                

[Walter Roberson]

P = 912; % mmHg or 1.2 atm
L0 = 100; % Moles liquid in the still initially
A = [6.90565 6.95464]; B=[1211.033 1344.8]; C=[220.79 219.482]; % Antoine Constants
% x0 = [0.60 0.40]; % Initial liquid concentration xb = 60% xt = 40%
% xf = [0.20 0.80]; % Final liquid concentration xb = 20% xt = 80%
xtspan = linspace(0.40,0.80,100);
[xt, L] = ode45(@(xt,L) Moles(xt,L,P,A,B,C), xtspan, L0);
L = L(end);
fprintf('The amount of liquid remaining in the still when liquid mole fraction of toluene reaches 0.80 is %f moles', L);

% ODE
function dLdx = Moles(xt, L, P, A, B, C)
    T0 = 95.585;
    %options = odeset('RelTol',1e-6,'AbsTol',1e-8);
    %options = optimset('PlotFcns',{@optimplotx,@optimplotfval});
    %options = optimset('Display','iter'); % show iterations
    options = optimset('Display','off','TolX',1e-6); % Options
    T = fzero(@(T)temp(T,xt,P,A,B,C), T0, options);
    Psatt = VaporPressuret(T, A, B, C);
    Kt = EquilibriumRatio(Psatt, P);
    dLdx = L/(xt*(Kt-1));
end

function Tempfun = temp(T, xt, P, A, B, C)
  Psatt = VaporPressuret(T, A, B, C);
  Psatb = VaporPressureb(T, A, B, C);
  Tempfun = Psatt*xt + Psatb*(1-xt) - P;
end

% Toluene vapor pressure
function Psatt = VaporPressuret(T, A, B, C)
  Psatt = 10^(A(2)-B(2)/(T+C(2)));
end

% Vapor liquid equilibrium ratio, K
function Kt = EquilibriumRatio(Psatt, P)   
  Kt = Psatt/P;
end

% Benzene vapor pressure
function Psatb = VaporPressureb(T, A, B, C)
  Psatb = 10^(A(1)-B(1)/(T+C(1)));
end

[Josilyn Dostal]

You are my savior. Youre so nice.

Answer 13

[Gurwinder pal singh Bhinder]

hi

I am new to matlab. i am getting error message "extract_features" requires more input arguments to run.

anderror in command window :

>> Extract_Features

Not enough input arguments.

Error in Extract_Features (line 2)

img1 = imread(filename);

code is written below:

function Extract_Features(filename,flag)
img1 = imread(filename);
if ndims(img1) == 3; img1 = rgb2gray(img1); end  % Color Images
disp(['Extracting features from ' filename ' ...']);
fir=ext_finger(img1,0);
fir=fir(fir(:,3)<5,:);
if flag ==1
    figure;
    imshow(img1);
    hold on
    fir1=find(fir(:,3)==1);
    fir3=find(fir(:,3)==3);   
    plot(fir(fir1,1),fir(fir1,2),'r+');
    plot(fir(fir3,1),fir(fir3,2),'bo');
end
filename2=filename; filename2(end-1)='x'; filename2(end)='t';
save(filename2,'fir','-ascii');
end

[Walter Roberson]

When you run your code, which image file do you expect it to extract the features of?

[Gurwinder pal singh Bhinder]

firstly, i run this code which ask for image and i select image and it extract features. there are four images. i extract features of these four images by running this code four times ( i dont know this is right thing to do), it gives four .txt files.

after that i run the code i mentioned in previously , but that code gives error as i mentioned before.

firstly i run this code. it runs ok.

% EXTRACT FEATURES FROM AN ARBITRARY FINGERPRINT
clear;
clc; 
close all;

[filename,path]=uigetfile('*.tif','Fingerprints');
flag =1; % Show images. 0 if don't show
filename=strcat(path,filename);
Extract_Features(filename,flag);

then i run this code

this below code i mentioned previously that gives error:

function Extract_Features(filename,flag)
img1 = imread(filename);
if ndims(img1) == 3; img1 = rgb2gray(img1); end  % Color Images
disp(['Extracting features from ' filename ' ...']);
fir=ext_finger(img1,0);
fir=fir(fir(:,3)<5,:);
if flag ==1
    figure;
    imshow(img1);
    hold on
    fir1=find(fir(:,3)==1);
    fir3=find(fir(:,3)==3);   
    plot(fir(fir1,1),fir(fir1,2),'r+');
    plot(fir(fir3,1),fir(fir3,2),'bo');
end
filename2=filename; filename2(end-1)='x'; filename2(end)='t';
save(filename2,'fir','-ascii');
end

[Walter Roberson]

The code line

Extract_Features(filename,flag);

is already running Extract_Features on your behalf. You should not be trying to invoke Extract_Features at the command line without using your script.

[Gurwinder pal singh Bhinder]

i dont understand what you say. kindly ellaborate again

[Walter Roberson]

>> Extract_Features

That is a mistake because you are not telling Extract_Features which file you want to process.

You already designed code to ask the user which file to process and then to automatically call Extract_Features to do the work on the file, so you should be running that code instead of running Extract_Features directly. So at the command line, give the name of the file that you wrote that starts with the line

% EXTRACT FEATURES FROM AN ARBITRARY FINGERPRINT

For example if that code is stored in fingee.m then at the command line give the command

>> fingee

[Gurwinder pal singh Bhinder]

ok. so, i dont need to run separately extract_features.m, it will run when i run other first code . thats what i understand

[Gurwinder pal singh Bhinder]

thank you for your help

[Walter Roberson]

Right.

Answer 14

[Muhammad Hadyan Utoro]

Can someone help me please

%% Full-wave Rectification and RMS Envelope
rec_EMG = abs(EMG);
envelope = zeros(L,1);
window = 50;
envelope = sqrt(movmean(rec_EMG.^2), 'window');

I was trying to do get the RMS but it says:

Error using movmean Not enough input arguments.

I didn't understand that, as I already use two arguments there.

Thanks fo ryour help

[Walter Roberson]

In order to use movmean(), you have to pass in the signal whose moving mean is to be taken, and you have to pass in the size of the window. In your code, you are passing in only the signal, without the size of the window.

If you manage to fix that problem, then you would then be passing the result of movmean() into sqrt(), and you would be passing 'window' as the second parameter to sqrt(). However, sqrt() does not accept any options at all.

The code you probably want would be

envelope = sqrt(movmean(rec_EMG.^2, window));

[Muhammad Hadyan Utoro]

Thank you very much Mr. Robertson for the explanation. I put the bracket in the wrong position.

Appreciate your help

Answer 15

[kumar maruthi srinivas chennu]

Can any one help me this please

function u = Anti_Tv(g,my,gamma)
gHS = uint8(imadjust (g));
gGC = uint8(255.*((double(g)./255).^(gamma)));
g = double(g(:));
n = length(g);
b = zeros(2*n,1);
d = b;
u = g;
eer = 1;k = 1;
tol = 1e-3;
Lambda = 0.05
[B, Bt, BtB] = DiffOper(sqrt(n));

Not enough input arguments

[Walter Roberson]

What are you passing to the function?

You probably want uint8 not unit8

[kumar maruthi srinivas chennu]

Can you check this and let me know

[Walter Roberson]

@kumar maruthi srinivas chennu

g = imread('cameraman.tif');
my = [];  %unused parameter
gamma = 1.03;
u = Anti_Tv(g,my,gamma);

Lambda = 0.0500

Unrecognized function or variable 'DiffOper'.

Error in solution>Anti_Tv (line 17)
[B, Bt, BtB] = DiffOper(sqrt(n));

function u = Anti_Tv(g,my,gamma)
gHS = uint8(imadjust (g));
gGC = uint8(255.*((double(g)./255).^(gamma)));
g = double(g(:));
n = length(g);
b = zeros(2*n,1);
d = b;
u = g;
eer = 1;k = 1;
tol = 1e-3;
Lambda = 0.05
[B, Bt, BtB] = DiffOper(sqrt(n));
end

Looks like DiffOper is missing.

I note that you do not do anything with B, Bt, or BtB

Answer 16

[sanjiv kumar]

Dear Matlab experts, If anyone one of you would like to assist me running the below code i would be really greatfule to you.

The error i am getting.

qardlecm

Not enough input arguments.

Error in qardlecm (line 24)

nn = size(data,1);

The code i want to run

....................................................................................................................................................................................................

%-------------------------------------------------------------------------%

% This procedure file provides the following outputs

% Short-run parameters (phi, theta) and its covariance matrix 

% For this output, the following inputs are required

% 1) data : (n*(1+k)) matrix, where the 1st column is the dependent
% variable, and the last k columns are explanatory variables

% 2) ppp : p value of QARDL-ECM(p,q) model
% 3) qqq : q value of QARDL-ECM(p,q) model
% 4) tau : (s*1) vector of quantiles, which is sorted from the smallest to
% the largest.

% November 17, 2020
% Jin Seo Cho 

%-------------------------------------------------------------------------%

function[bigphia,bigpia,thett,distthett] = qardlecm(data,ppp,qqq,tau)

nn = size(data,1);
k0 = size(data,2)-1;
ss = size(tau,1);
tau = sort(tau,1);

pd = makedist('normal','mu',0,'sigma',1);
za = icdf(pd,0.975);
hb = zeros(ss,1);
hs = zeros(ss,1);

for jj = 1:ss
    hb(jj,1) = (4.5*normpdf(icdf(pd,tau(jj,1)))^4/(nn*(2*icdf(pd,tau(jj,1))^2+1)^2))^0.2;
    hs(jj,1) = za^(2/3)*(1.5*normpdf(icdf(pd,tau(jj,1)))^2/(nn*(2*icdf(pd,tau(jj,1))^2+1)))^(1/3);
end


yy = data(:,1);
xx = data(:,2:size(data,2));
ee = xx(2:nn,:) - xx(1:(nn-1),:);
ee = [zeros(1,k0);ee];

eei = zeros(nn-qqq,qqq*k0);
xxi = xx(qqq+1:nn,:);
yyi = zeros(nn-ppp,ppp);

for jj = 1:k0
    for ii = 0:qqq-1
        eei(:, ii+1+(jj-1)*qqq) = ee((qqq+1-ii):(nn-ii),jj);
    end
end

for ii = 1:ppp
    yyi(:,ii) = yy((1+ppp-ii):(nn-ii),1);
end

if (ppp>qqq)
    X = [eei((size(eei,1)+1-size(yyi,1)):size(eei,1),:), xxi((size(xxi,1)+1-size(yyi,1)):size(xxi,1),:), yyi];
else
    X = [eei, xxi, yyi((size(yyi,1)+1-size(xxi,1)):size(yyi,1),:)];
end

ONEX = [ones(size(X,1),1),X];
Y = yy((nn-size(X,1)+1):nn,1);
 
bt = zeros(size(ONEX,2),ss); 
fh = zeros(ss,1);
uu = zeros(nn-2,ss);

for jj = 1:ss
    [bt1] = qregressMatlab(Y,ONEX,tau(jj,1));
    uu(:,jj) = Y - ONEX*bt1;
    fh(jj,1) = mean(normpdf(-uu(:,jj)/hb(jj,1)))/hb(jj,1);
    bt(:,jj) = bt1;
end

barw = zeros(nn-1,qqq*k0);

for jj = 1:qqq
    barw(jj:(nn-1),(k0*(jj-1)+1):k0*jj) = ee(2:(nn-jj+1),:);
end

tw = [ones(nn-1,1), barw];
mm = (xx((qqq+1):nn,:)'*xx((qqq+1):nn,:) - xx((qqq+1):nn,:)'*tw(qqq:(nn-1),:)*inv(tw(qqq:(nn-1),:)'*tw(qqq:(nn-1),:))*tw(qqq:(nn-1),:)'*xx((qqq+1):nn,:))/(nn-qqq)^2;
bb = zeros(ss,1);

for jj = 1:ss
    bb(jj,1) = 1/((1-sum(bt(2+(qqq+1)*k0:1+(qqq+1)*k0+ppp,jj),1)')*fh(jj,1));
end

qq = zeros(ss,ss);

for jj = 1:ss
    for ii = 1:ss
        psu = zeros(2,1);
        psu(1,1) = tau(jj,1);
        psu(2,1) = tau(ii,1);
        qq(jj,ii) = (min(psu,[],1)' - tau(jj,1)*tau(ii,1))*bb(jj,1)*bb(ii,1);
    end
end

midbt = zeros(k0,ss);

for jj = 1:ss
    midbt(:,jj) = bt(2+qqq*k0:1+(qqq+1)*k0,jj)/(1-sum(bt(2+(qqq+1)*k0:1+(qqq+1)*k0+ppp,jj),1)');
end

bigbt = reshape(midbt,[],1);
bigbtmm = kron(qq,inv(mm));

if (ppp>qqq)
    yyj = zeros(nn-ppp,ppp);
    xxj = zeros(nn-ppp,k0);
    wwj = zeros(nn-ppp,qqq*k0);
    for jj = 1:ppp
        yyj(:,jj) = yy((ppp+1-jj):(nn-jj),1);
    end
    
    for ii = 1:k0
        for jj = 1:qqq
            wwj(:,jj+(ii-1)*qqq) = ee((ppp-jj+2):(nn-jj+1),ii);
        end
    end
    
    xxj = xx((ppp+1):nn,:);
    kk = zeros(nn-ppp,ss*ppp);
    
    for jj = 1:ppp
        Y = yyj(:,jj);
        ONEX = [ones(nn-ppp,1),xxj,wwj];
        for ii = 1:ss
            [bbt] = qregressMatlab(Y,ONEX,tau(ii,1));
            kkk = Y - ONEX*bbt;
            kk(:,jj+(ii-1)*ppp) = kkk;
        end
    end

    kka1 = kk(:,2);
    kka2 = kk(:,4);
    kka3 = kk(:,6);
    
    kka = [kka1,kka2,kka3];
    
tilw = tw(ppp:(nn-1),:);
llla = (kka'*kka - kka'*tilw*inv(tilw'*tilw)*tilw'*kka)/(nn-ppp);

else
    yyj = zeros(nn-qqq,ppp);
    xxj = zeros(nn-qqq,k0);
    wwj = zeros(nn-qqq,qqq*k0);
    
    for jj = 1:ppp
        yyj(:,jj) = yy((qqq+1-jj):(nn-jj),1);
    end
    
for ii = 1:k0
    for jj = 1:qqq
        wwj(:,jj+(ii-1)*qqq) = ee((qqq-jj+2):(nn-jj+1),ii);
    end
end

xxj = xx((qqq+1):nn,:);
kk = zeros(nn-qqq,ss*ppp);

for jj = 1:ppp
    Y = yyj(:,jj);
    ONEX = [ones(nn-qqq,1), xxj, wwj];
    for ii = 1:ss
        [bbt] = qregressMatlab(Y,ONEX,tau(jj,1));
        kkk = Y - ONEX*bbt;
        kk(:,jj+(ii-1)*ppp) = kkk;
    end
end

    kka1 = kk(:,2);
    kka2 = kk(:,4);
    kka3 = kk(:,6);
    
    kka = [kka1,kka2,kka3];
    

tilw = tw(qqq:(nn-1),:);
llla = (kka'*kka - kka'*tilw*inv(tilw'*tilw)*tilw'*kka)/(nn-qqq);
end

cc = zeros(ss,ss);

for jj = 1:ss
    for ii = 1:ss
        psu = zeros(2,1);
        psu(1,1) = tau(jj,1);
        psu(2,1) = tau(ii,1);
        cc(jj,ii) = (min(psu,[],1)' - tau(jj,1)*tau(ii,1))/(fh(ii,1)*fh(jj,1));
    end
end

bigpia = zeros(ss*(ppp-1),ss*(ppp-1));

for jj = 1:ss
    for ii = 1:ss
        psu = inv(llla((jj-1)*(ppp-1)+1:jj*(ppp-1),(jj-1)*(ppp-1)+1:jj*(ppp-1)))*llla((jj-1)*(ppp-1)+1:jj*(ppp-1),(ii-1)*(ppp-1)+1:ii*(ppp-1))*inv(llla((ii-1)*(ppp-1)+1:ii*(ppp-1),(ii-1)*(ppp-1)+1:ii*(ppp-1)));
        
        bigpia((jj-1)*(ppp-1)+1:jj*(ppp-1),(ii-1)*(ppp-1)+1:ii*(ppp-1)) = cc(jj,ii)*psu;
    end
end

midphi = zeros(ppp,ss);

for jj = 1:ss
    midphi(:,jj) = bt(2+(qqq+1)*k0:1+(qqq+1)*k0+ppp,jj);
    
end

bigphi = reshape(midphi,[],1);

bigphia1 = bigphi(2,1);
bigphia2 = bigphi(4,1);
bigphia3 = bigphi(6,1);
   
bigphia = [bigphia1; bigphia2; bigphia3];

dg = [nn^(1/2),0,0; 0,nn^(1/2),0; 0,0,nn];

uu2 = uu;
   
tilwb = tilw(:,2);

r1 = 1;
r2 = sum(tilwb,1)*(nn-2)^(-1);
r3 = sum(xx(3:nn,1),1)*(nn-2)^(-3/2);
r4 = r2;
rh5 = tilwb'*tilwb;
r5 = rh5*(nn-2)^(-1);
rh6 = tilwb'*xx(3:nn,1);
r6 = rh6*(nn-2)^(-3/2);
r7 = r3;
r8 = r6;
rh9 = xx(3:nn,1)'*xx(3:nn,1);
r9 = rh9*(nn-2)^(-2);


QQQ = [r1, r2, r3 ; r4, r5, r6; r7, r8, r9];    

   
   psiu = zeros(nn-2,3);
   
for jj = 1:3
    for rr = 1:nn-2
        if (uu2(rr,jj)<= 0)
         psiu(rr,jj) = tau(jj,1)-1;
        else
         psiu(rr,jj) = tau(jj,1);
        end       
    end   
end

sigmma = psiu'*psiu*(1/(nn-2));

psiu1 = psiu(1:nn-2,1);
psiu2 = psiu(1:nn-2,2);
psiu3 = psiu(1:nn-2,3);

sium1 = mean(psiu1);
sium2 = mean(psiu2);
sium3 = mean(psiu3);

sigma1 = mean(psiu1.^(2));
sigma2 = mean(psiu2.^(2));
sigma3 = mean(psiu3.^(2));

distmt1 = nn*fh(1,1)^(-2)*sigmma(1,1)*inv(dg)*inv(QQQ)*inv(dg);
distmt2 = nn*fh(1,1)^(-1)*fh(2,1)^(-1)*sigmma(1,2)*inv(dg)*inv(QQQ)*inv(dg);
distmt3 = nn*fh(1,1)^(-1)*fh(3,1)^(-1)*sigmma(1,3)*inv(dg)*inv(QQQ)*inv(dg);
distmt4 = nn*fh(2,1)^(-1)*fh(1,1)^(-1)*sigmma(2,1)*inv(dg)*inv(QQQ)*inv(dg);
distmt5 = nn*fh(2,1)^(-2)*sigmma(2,2)*inv(dg)*inv(QQQ)*inv(dg);
distmt6 = nn*fh(2,1)^(-1)*fh(3,1)^(-1)*sigmma(2,3)*inv(dg)*inv(QQQ)*inv(dg);
distmt7 = nn*fh(3,1)^(-1)*fh(1,1)^(-1)*sigmma(3,1)*inv(dg)*inv(QQQ)*inv(dg);
distmt8 = nn*fh(3,1)^(-1)*fh(2,1)^(-1)*sigmma(3,2)*inv(dg)*inv(QQQ)*inv(dg);
distmt9 = nn*fh(3,1)^(-2)*sigmma(3,3)*inv(dg)*inv(QQQ)*inv(dg);

A11 = distmt1(2,2);
A12 = distmt1(3,3);
A13 = 2*distmt1(2,3);

A21 = distmt2(2,2);
A22 = distmt2(3,3);
A23 = 2*distmt2(2,3);

A31 = distmt3(2,2);
A32 = distmt3(3,3);
A33 = 2*distmt3(2,3);

A41 = distmt4(2,2);
A42 = distmt4(3,3);
A43 = 2*distmt4(2,3);

A51 = distmt5(2,2);
A52 = distmt5(3,3);
A53 = 2*distmt5(2,3);

A61 = distmt6(2,2);
A62 = distmt6(3,3);
A63 = 2*distmt6(2,3);

A71 = distmt7(2,2);
A72 = distmt7(3,3);
A73 = 2*distmt7(2,3);

A81 = distmt8(2,2);
A82 = distmt8(3,3);
A83 = 2*distmt8(2,3);

A91 = distmt9(2,2);
A92 = distmt9(3,3);
A93 = 2*distmt9(2,3);

distcon1 = A11 + A12 + A13; 
distcon2 = A21 + A22 + A23;
distcon3 = A31 + A32 + A33;
distcon4 = A41 + A42 + A43; 
distcon5 = A51 + A52 + A53;
distcon6 = A61 + A62 + A63;
distcon7 = A71 + A72 + A73; 
distcon8 = A81 + A82 + A83;
distcon9 = A91 + A92 + A93;

distthett = [distcon1, distcon2, distcon3 ; distcon4, distcon5, distcon6 ; distcon7, distcon8, distcon9];

thett1 = bt(2,1) + bt(3,1);
thett2 = bt(2,2) + bt(3,2);
thett3 = bt(2,3) + bt(3,3);

thett = [thett1 ; thett2 ; thett3];
end

[Walter Roberson]

When you press the green Run button, what is your expectation for where MATLAB should look for the value of the data ?

Answer 17

[Ibrahim alkaltham]

I get Unrecognized function or variable 'theta'.

how to fix it

%**************************************************************************
%       polar_dB(theta,rho,rmin,rmax,rticks,line_style) 
%**************************************************************************
%	POLAR_DB is a MATLAB function that plots 2-D patterns in
%	polar coordinates where:
%		   0      <= THETA (in degrees) <= 360
%		-infinity <  RHO   (in dB)      <  +infinity
%
%	Input Parameters Description
%	----------------------------
%	- theta (in degrees) must be a row vector from 0 to 360 degrees
%	- rho (in dB) must be a row vector
%	- rmin (in dB) sets the minimum limit of the plot (e.g., -60 dB)
%	- rmax (in dB) sets the maximum limit of the plot (e.g.,   0 dB)
%	- rticks is the # of radial ticks (or circles) desired. (e.g., 4)
%	- linestyle is solid (e.g., '-') or dashed (e.g., '--')
%
%	Credits:
%		S. Bellofiore
%		S. Georgakopoulos
%		A. C. Polycarpou
%		C. Wangsvick
%		C. Bishop
%
%	Tabulate your data accordingly, and call polar_dB to provide the
%	2-D polar plot
%
%	Note:  This function is different from the polar.m (provided by
%	       MATLAB) because RHO is given in dB, and it can be negative
%-----------------------------------------------------------------------------
function hpol =polar_dB(theta,rho,rmin,rmax,rticks,line_style) 
% Convert degrees into radians
theta= theta* pi/180;
% Font size, font style and line width parameters
font_size  = 16;
font_name  = 'Times';
line_width = 1.5;
if nargin < 5
    error('Requires 5 or 6 input arguments.')
elseif nargin == 5 
    if isstr(rho)
        line_style = rho;
        rho = theta;
        [mr,nr] = size(rho);
        if mr == 1
            theta = 1:nr;
        else
            th = (1:mr)';
            theta = th(:,ones(1,nr));
        end
    else
        line_style = 'auto';
    end
elseif nargin == 1
    line_style = 'auto';
    rho = theta;
    [mr,nr] = size(rho);
    if mr == 1
        theta = 1:nr;
    else
        th = (1:mr)';
        theta = th(:,ones(1,nr));
    end
end
if isstr(theta) || isstr(rho)
    error('Input arguments must be numeric.');
end
if any(size(theta) ~= size(rho))
    error('THETA and RHO must be the same size.');
end
% get hold state
cax = newplot;
next = lower(get(cax,'NextPlot'));
hold_state = ishold;
% get x-axis text color so grid is in same color
tc = get(cax,'xcolor');
% Hold on to current Text defaults, reset them to the
% Axes' font attributes so tick marks use them.
fAngle  = get(cax, 'DefaultTextFontAngle');
fName   = get(cax, 'DefaultTextFontName');
fSize   = get(cax, 'DefaultTextFontSize');
fWeight = get(cax, 'DefaultTextFontWeight');
set(cax, 'DefaultTextFontAngle', get(cax, 'FontAngle'), ...
    'DefaultTextFontName',   font_name, ...
    'DefaultTextFontSize',   font_size, ...
    'DefaultTextFontWeight', get(cax, 'FontWeight') )
% only do grids if hold is off
if ~hold_state
    % make a radial grid
    hold on;
    % v returns the axis limits
    % changed the following line to let the y limits become negative
    hhh=plot([0 max(theta(:))],[min(rho(:)) max(rho(:))]);
    v = [get(cax,'xlim') get(cax,'ylim')];
    ticks = length(get(cax,'ytick'));
    delete(hhh);
    % check radial limits (rticks)
    if rticks > 5   % see if we can reduce the number
        if rem(rticks,2) == 0
            rticks = rticks/2;
        elseif rem(rticks,3) == 0
            rticks = rticks/3;
        end
    end
    % define a circle
    th = 0:pi/50:2*pi;
    xunit = cos(th);
    yunit = sin(th);
    % now really force points on x/y axes to lie on them exactly
    inds = 1:(length(th)-1)/4:length(th);
    xunits(inds(2:2:4)) = zeros(2,1);
    yunits(inds(1:2:5)) = zeros(3,1);
    rinc = (rmax-rmin)/rticks;
    % label r
    % change the following line so that the unit circle is not multiplied
    % by a negative number.  Ditto for the text locations.
    for i=(rmin+rinc):rinc:rmax
        is = i - rmin;
        plot(xunit*is,yunit*is,'-','color',tc,'linewidth',0.5);
        text(0,is+rinc/20,['  ' num2str(i)],'verticalalignment','bottom' );
    end
    % plot spokes
    th = (1:6)*2*pi/12;
    cst = cos(th); snt = sin(th);
    cs = [-cst; cst];
    sn = [-snt; snt];
    plot((rmax-rmin)*cs,(rmax-rmin)*sn,'-','color',tc,'linewidth',0.5);
    % plot the ticks
    george=(rmax-rmin)/30; % Length of the ticks
    th2 = (0:36)*2*pi/72;
    cst2 = cos(th2); snt2 = sin(th2);
    cs2 = [(rmax-rmin-george)*cst2; (rmax-rmin)*cst2];
    sn2 = [(rmax-rmin-george)*snt2; (rmax-rmin)*snt2];
    plot(cs2,sn2,'-','color',tc,'linewidth',0.15); % 0.5
    plot(-cs2,-sn2,'-','color',tc,'linewidth',0.15); % 0.5
    % annotate spokes in degrees
    % Changed the next line to make the spokes long enough
    rt = 1.1*(rmax-rmin);
    for i = 1:max(size(th))
        text(rt*cst(i),rt*snt(i),int2str(abs(i*30-90)),'horizontalalignment','center' );
        if i == max(size(th))
            loc = int2str(90);
        elseif i*30+90<=180
            loc = int2str(i*30+90);
        else
            loc = int2str(180-(i*30+90-180));  
        end
        text(-rt*cst(i),-rt*snt(i),loc,'horizontalalignment','center' );
    end
    % set viewto 2-D
    view(0,90);
    % set axis limits
    % Changed the next line to scale things properly
    axis((rmax-rmin)*[-1 1 -1.1 1.1]);
end
% Reset defaults.
set(cax, 'DefaultTextFontAngle', fAngle , ...
    'DefaultTextFontName',   font_name, ...
    'DefaultTextFontSize',   fSize, ...
    'DefaultTextFontWeight', fWeight );
% transform data to Cartesian coordinates.
% changed the next line so negative rho are not plotted on the other side

for i = 1:length(rho)
    if (rho(i) > rmin)
        if theta(i)*180/pi >=0 && theta(i)*180/pi <=90
            xx(i) = (rho(i)-rmin)*cos(pi/2-theta(i));
            yy(i) = (rho(i)-rmin)*sin(pi/2-theta(i));
        elseif theta(i)*180/pi >=90
            xx(i) = (rho(i)-rmin)*cos(-theta(i)+pi/2);
            yy(i) = (rho(i)-rmin)*sin(-theta(i)+pi/2);
        elseif theta(i)*180/pi < 0 
            xx(i) = (rho(i)-rmin)*cos(abs(theta(i))+pi/2);
            yy(i) = (rho(i)-rmin)*sin(abs(theta(i))+pi/2);
        end
    else
        xx(i) = 0;
        yy(i) = 0;
    end
end
% plot data on top of grid
if strcmp(line_style,'auto')
    q = plot(xx,yy);
else
    q = plot(xx,yy,line_style);
end
if nargout > 0
    hpol = q;
end
if ~hold_state
    axis('equal');axis('off');
end
% reset hold state
if ~hold_state, set(cax,'NextPlot',next); end

[Walter Roberson]

You cannot run this code by just pressing the green Run button. When you press the green Run button, MATLAB runs the code as-if you had called

polar_dB()

without passing any input parameters to it.

Answer 18

[Eirene Octavia]

Dear Matlab expert, please help me. My Matlab is 2016a, I try to run a code but there is an error "Not enough input arguments."

Error in astar (line 3)

ssNode = startNode;

function [ClosedList,cost,heuristic,func,iteration] = astar(source,target,weights,heuristics,startNode,goalNode)
%inisialisai starnode sebagai ssNode
ssNode = startNode;
%inisialisai goalNode sebagai ggNode
ggNode = goalNode;
%refactor semua variabel
%untuk mengurangi pemakaian memori
[s,t,n,sNode,gNode] = refactor(source,target,weights,sNode,ggNode);

%uniqeNodes merupakan semua node pada source dan target uniqueNodes = getNodes(s,t);
%keadaan awal open List

OpenList = [];

%initialisasi titik start

ClosedList = struct('Path' ,sNode,'Cost',0,'Heuristic',heuristics(sNode),'F',heuristics(sNode));
%masukan initial node kedalam antrian
OpenList = [OpenList ClosedList];
iteration = 1;

%	lalukan pencarian hingga nsemua node telah dikunjungi

%	atau  tujuan ditemukan
while(isGoalReached(OpenList,gNode)==0 && ~isempty(OpenList)) [minI,minP] = minPath(OpenList);

OpenList(minI) = [];
%buat antrian baru

newPaths = getNewPaths(s,t,weights,heuristics,minP); OpenList = [OpenList newPaths];

%	hitung jumlah perulangan iteration = iteration + 1;
end

if(~isempty(OpenList))
%masukan node dengan biaya terendah
%kedalam Closed list
[~,minP] = minPath(OpenList);
ClosedList = n(minP.Path);

cost = minP.Cost;
heuristic = minP.Heuristic;
func = minP.F;
else

ClosedList = [];
cost = [];
heuristic = [];

func = [];
end
end

%badingkan biaya setiap Node

function [minIndex,ClosedList] = minPath(paths)
minIndex = [];
ClosedList = [];

if(~isempty(paths))
minIndex = 1;
ClosedList = paths(minIndex);
if(length(paths)>1)
for i=2:length(paths)

if(paths(i).F < ClosedList.F)
minIndex = i;
ClosedList = paths(minIndex);
end
end

end
end
end

function isGoal = isGoalReached(paths,goalNode)

if(isempty(paths))
isGoal = 0;
return;

end
[~,minP] = minPath(paths);
if(minP.Path(length(minP.Path)) == goalNode)
isGoal = 1;
else

isGoal = 0;
end
end

function weight = getWeight(s,t,weights,nodeA,nodeB)

for i=1:length(s)
if(s(i)==nodeA && t(i)==nodeB)
weight = weights(i);
end

end
end

function paths = getNewPaths(s,t,w,h,path)
paths = [];
uniqueNodes = getNodes(s,t);
if(~isempty(path))

currentNode = path.Path(length(path.Path)); childs = getChilds(s,t,currentNode);
for i=1:length(childs)

% If path is not a loop
if(isempty(find(path.Path==childs(i), 1)))
c = path.Cost + getWeight(s,t,w,currentNode,childs(i));
heur = h(uniqueNodes==childs(i));
f = c + heur;

p	= struct('Path',[path.Path childs(i)],'Cost',c,'Heuristic',heur,'F',f);
paths = [paths p];
end
end
end
end

function childs = getChilds(source,target,node)

childs = sort(target(source==node));
end

function nodes = getNodes(s,t)
nodes = unique(horzcat(s,t));
end

function [s,t,n,sn,gn] = refactor(source,target,~,startNode,goalNode) 
sn = startNode;
gn = goalNode;

uNodes = unique(horzcat(source,target)); n = uNodes;
uNodes = unique(horzcat(source,target));

s = [];
t = [];
for i=1:length(source)
[~,sIndex] = ismember(source(i),uNodes);
[~,tIndex] = ismember(target(i),uNodes);

s = [s sIndex];
t = [t tIndex];
end
end

[Eirene Octavia]

I'm already save the file with name astar.m but its won't work

[Steven Lord]

Based on how the astar function is defined:

function [ClosedList,cost,heuristic,func,iteration] = ...
    astar(source,target,weights,heuristics,startNode,goalNode)

and from the fact that the third line of code uses the goalNode input argument:

ggNode = goalNode;

when you call astar you must call it with exactly six input arguments. If you call it with five or fewer inputs, you will receive an error when MATLAB tries to determine what should be assigned to the ggNode variable inside the function. If you try to call it with seven or more inputs, you will receive an error because MATLAB doesn't know what to do with that seventh input.

[Eirene Octavia]

Thank you very much

Answer 19

[Hussein Thary]

Sol this programm

function I = Int(rho, z, t, fdphi)
    global D lam alpha0 L0 Ep tau gamma M2 f w;
    lam = 800e-9;         % Wavelength in nm
    w = 20.4e-6;          % Beam radius on the focal plane in microns
    f = 300e-3;           % Focal length of the lens in mm
    M2 = 2;            % Beam quality factor
    z0 = 0.815;        % Rayleigh length in mm
    n2 = 5e-15;        % Nonlinear refractive index in cm^2/W
    L = 1e-3;             % Thickness of the nonlinear medium in mm
    D = 200e-3;           % Distance to the observation plane in mm
    Ep = 20e-9;        % Laser pulse energy in nJ
    z = 10
    % Additional parameters
    alpha0 = 1 ./ L0;   % Linear absorption coefficient (assuming constant)
    tau = 25;          % Pulse duration in fs
    gamma = n2 * lam ./ (2 * pi); % Nonlinear refractive coefficient

    % Calculations
    k = 2 * pi / lam;                          % Wave number
    w0 = (1e-3 * M2 * lam * f) ./ (pi * w);      % Beam waist radius in mm
    z0 = k * w0^2 / 2;                         % Rayleigh length in mm
    wz = w0 * sqrt(1 + (z ./ z0)^2);             % Beam radius at z coordinate
    
    % Calculate wavefront curvature
    Rz = z * (1 + (z0 / z)^2);                  % Radius of curvature of the wavefront
    
    % Define radial coordinate
    r = linspace(0, wz, 100);                   % Radial coordinate in mm
    dr = r(2) - r(1);
    
    % Calculate phase shift
    dphi = zeros(size(r))                      % Initialize phase shift
    if fdphi == 1 
        Leff = L * (1 - exp(-alpha0 * L0)) / alpha0;  % Effective length
        dphi = k * Leff * gamma * Ep * 1e21 * exp(-2 * r.^2 ./ wz.^2) .* exp(-4 * log(2 * t^2 / tau^2)) ./ (1 + (z / z0)^2);

    end
    
    % Calculate the integrand
    Iint = -r.^2 ./ wz.^2;
    if z ~= 0
        Iint = Iint - 1i * k * r.^2 / (2 * Rz);
    end
    Iint = Iint - 1i * dphi;
    Iint = exp(Iint) .* r;
    
    % Calculate the intensity for each rho
    I = zeros(size(rho));
    for m = 1:length(rho)
        Isec = k * rho(m) * r / D;
        Isec = besselj(0, Isec) .* Iint;
        Isec = trapz(r, Isec) * dr;
        Isec = abs(Isec);
        I(m) = Isec^2;
    end
    
    % Intensity factor
    Iprim = (4 * pi^2 * Ep) / (lam * D)^2 * (w0 / wz)^2 * exp(-alpha0 * L0);
    if t ~= 0
        Iprim = Iprim * exp(-4 * log(2) * t^2 / tau^2);
    end
    
    % Total Intensity
    I = I * Iprim * 1e8;
    
    % Plot the intensity distribution
    plot(rho, I);
    xlabel('Radial Coordinate (mm)');
    ylabel('Intensity');
    title('Far Field Intensity');
    % Set the parameters based on the given conditions
lam = 500;           % Wavelength in nm
w = 20.4;            % Beam radius on the focal plane in microns
f = 300;             % Focal length of the lens in mm
M2 = 2;              % Beam quality factor
z0 = 0.815;          % Rayleigh length in mm
n2 = 5e-15;          % Nonlinear refractive index in cm^2/W
L = 1;               % Thickness of the nonlinear medium in mm
D = 200;             % Distance to the observation plane in mm

% Additional parameters
rho = linspace(-15/2, 15/2, 100);    % Radial coordinate in mm
z = 10;                       % Z coordinate in mm
t = 25;                         % Time in fs
fdphi =10;                      % Flag for dphi calculation (1 = enabled)



% Plot the intensity distribution
figure;
plot(rho, I);
xlabel('Radial Coordinate (mm)');
ylabel('Intensity');
title('Far Field Intensity');

end

[Walter Roberson]

@Hussein Thary

What about that code? You do not show us any example of calling the code, so we can only guess that you tried to run it by pressing the green Run button without passing any parameters to it.

Answer 20

[P]

clear all

%Constants (all MKS, except energy which is in eV) 
% hbar=1.055e-34;m=9.110e-31;epsil=8.854e-12;q=1.602e-19;

%Lattice

Np=100;a=le-10;X=a*[1:1:Np];t0=(hbar^2)/(2*m*(a^2))/q;L=a*(Np+1);
T=(2*t0*diag(ones(1,Np)))-(t0*diag(ones(1,Np-1),1))-(t0*diag(ones(1,Np-1),-1));
T(1,Np)=-t0;T(Np,1)=-t0;
[V,D]=eig(T);D=diag(D);[Enum,ind]=sort(D);

El=D(ind(1));psil=abs(V(:,ind(1)));P1=psil.*conj(psil);
E2=D(ind(50));psi2=abs(V(:,ind(50)));P2=psi2.*conj(psi2);

%analytical eigenvalues
Ean=(((hbar*pi)^2)/(2*m*(L^2))/q)*[1:Np].*[1:Np];

hold on
h=plot(Enum,'bx');
set(h,'linewidth',[3.0])
set(gca,'Fontsize',[25])
xlabel(' Eigenvalue Number,alpha-->');
ylabel('E(eV)--->');
grid on
 

[Walter Roberson]

The constants are commented out, so it is going to search for hbar as a function

Answer 21

[Reeta]

>> KMeansClustering

Not enough input arguments.

Error in KMeansClustering (line 20)

if ~isa(X, 'double')

what is this error says?

[Walter Roberson]

You appear to be using the File Exchange contribution https://www.mathworks.com/matlabcentral/fileexchange/82048-simple-k-means-clustering

When you run KMeansClustering with no inputs, what is your expectation for where MATLAB will search for dataSet, numClusters, numIterations ?

Answer 22

[Diego]

what is wrong with

 fprintf('5. Zip up the .csv file and your sleep diary file (Lastname_firstname_gender.mat) \n')

5. Zip up the .csv file and your sleep diary file (Lastname_firstname_gender.mat) 

[Walter Roberson]

What leads you to think that something is wrong with that?