Index exceeds matrix dimensions ошибка

I am new to MATLAB and trying to learn Bayesian Networks.
Running this code shows an error

Index exceeds matrix dimensions.

in line

( for r = 1:length(nodes(root(rr)).values))

Please help me out with this.

Thanks in Advance

function [nodes, edges] = bnMsgPassInitiate(nodes, edges, root)
N = numel(nodes);

for X = 1:N % for every node

nodes(X).lambda = ones(1, length(nodes(X).values)); % l(x) = 1

Z = nodes(X).parents;
for pa = 1:length(Z) % for each parent of X
    edges(Z(pa),X).lambdaX = ones(1, length(nodes(Z(pa)).values)); % lX(z) = 1
end  

Y = nodes(X).children;
for ch = 1:length(Y) % for each child of X
    edges(X,Y(ch)).peyeX = ones(1, length(nodes(X).values)); % peyeY(x)
end

end

numRoots = length(root);
for rr = 1:numRoots
   **for r = 1:length(nodes(root(rr)).values)**
    nodes(root(rr)).peye(r) = nodes(root(rr)).CPT(r);
    nodes(root(rr)).P(r) = nodes(root(rr)).CPT(r);
end
childrenR = nodes(root(rr)).children;
for cr = 1:length(childrenR)
    [nodes, edges] = bnMsgPassSendPiMsg(root(rr), childrenR(cr), nodes, edges, []); %A = []
end
end

Wouter Mattheussens

Hi,

Im new to MATLAB and am trying to extract data from a sine wave. I’ve set the threshold to -1 SD and want all of the data below it to stack into one matrix. In other words, M has to be a stacked product of P. However, at the last part of the code it gives the error: Index Exceeds Matrix Dimensions. From what I understand, this means that length(P)+P(i)>length(noise). So the logical thing to do would be to make ‘noise’ bigger or P(i) smaller. However, I can’t seem to get rid of the error. I was told not to index so far into P, but i have no idea how to do that. Hopefully someone can help me with this!

clear all

hold off

srate=1000;

t=1:99/srate:10;

noiseAmplitude=2;

a=4;

f=4;

signal=a*sin(2*pi*f*t);

noise= signal + noiseAmplitude*randn(1,length(signal));

standdev=std(noise);

P=find(diff(noise<-standdev)==1);

for i=1:length(P)

M(i,:)=noise(P(i):P(i)+10); (<— ERROR: index exceeds matrix dimensions)

end

plot(M)

Accepted Answer

Alexandra Harkai

P =

2 27 32 34 37 50 52 60 65 68 70 75 90

P+10

ans =

12 37 42 44 47 60 62 70 75 78 80 85 100

Therefore P+10 exceeds the size of noise, and is giving you the error.

How you go about fixing it depends what you want to achieve in those cases. This one would fill in the rightmost part of array M:

for i=1:length(P)

offset = min(10, size(noise,2)-P(i));

M(i,(end-offset):end)=noise(P(i):P(i)+offset);

end


More Answers (11)

Cam Salzberger

I don’t fully understand what you are trying to do here, but I can tell you how to examine the issue. With any kind of error, it’s often easiest to set a breakpoint at the line the error occurs. With an error in a loop, however, it could be many iterations before you actually hit the parameter combination that will cause the error. In that case, it’s probably easiest to just run this at the command line:

Now MATLAB will automatically go into debug mode as soon as it encounters an error. Once in debug mode, you can examine the variables and see where the issue is. Of course, in your particular code, the exact iteration may change every time because of the randomized noise.

I suspect that you don’t actually want to index into «P» using «10» as an offset to the next index value, when «P» already contains index values itself. But I don’t fully understand your workflow, so I can’t be sure.

-Cam


dawa lepcha

Hi , i have an error in line 18,

kindly need helps

Index exceeds matrix dimensions.

Error in guidedfilter_color (line 18)

mean_I_g = boxfilter(I(:, :, 2), r) ./ N;

function q = guidedfilter_color(I, p, r, eps)

I = double(imread(‘.\img_smoothing\cat.bmp’)) / 255;

p = I;

r = 4;

eps = 0.2^2;

[hei, wid] = size(p);

N = boxfilter(ones(hei, wid), r);

mean_I_r = boxfilter(I(:, :, 1), r) ./ N;

mean_I_g = boxfilter(I(:, :, 2), r) ./ N;

mean_I_b = boxfilter(I(:, :, 3), r) ./ N;

mean_p = boxfilter(p, r) ./ N;

mean_Ip_r = boxfilter(I(:, :, 1).*p, r) ./ N;

mean_Ip_g = boxfilter(I(:, :, 2).*p, r) ./ N;

mean_Ip_b = boxfilter(I(:, :, 3).*p, r) ./ N;

cov_Ip_r = mean_Ip_r — mean_I_r .* mean_p;

cov_Ip_g = mean_Ip_g — mean_I_g .* mean_p;

cov_Ip_b = mean_Ip_b — mean_I_b .* mean_p;

var_I_rr = boxfilter(I(:, :, 1).*I(:, :, 1), r) ./ N — mean_I_r .* mean_I_r;

var_I_rg = boxfilter(I(:, :, 1).*I(:, :, 2), r) ./ N — mean_I_r .* mean_I_g;

var_I_rb = boxfilter(I(:, :, 1).*I(:, :, 3), r) ./ N — mean_I_r .* mean_I_b;

var_I_gg = boxfilter(I(:, :, 2).*I(:, :, 2), r) ./ N — mean_I_g .* mean_I_g;

var_I_gb = boxfilter(I(:, :, 2).*I(:, :, 3), r) ./ N — mean_I_g .* mean_I_b;

var_I_bb = boxfilter(I(:, :, 3).*I(:, :, 3), r) ./ N — mean_I_b .* mean_I_b;

a = zeros(hei, wid, 3);

for y=1:hei

for x=1:wid

Sigma = [var_I_rr(y, x), var_I_rg(y, x), var_I_rb(y, x);

var_I_rg(y, x), var_I_gg(y, x), var_I_gb(y, x);

var_I_rb(y, x), var_I_gb(y, x), var_I_bb(y, x)];

cov_Ip = [cov_Ip_r(y, x), cov_Ip_g(y, x), cov_Ip_b(y, x)];

a(y, x, :) = cov_Ip * inv(Sigma + eps * eye(3));

end

end

b = mean_p — a(:, :, 1) .* mean_I_r — a(:, :, 2) .* mean_I_g — a(:, :, 3) .* mean_I_b;

q = (boxfilter(a(:, :, 1), r).* I(:, :, 1)

+ boxfilter(a(:, :, 2), r).* I(:, :, 2)

+ boxfilter(a(:, :, 3), r).* I(:, :, 3)

+ boxfilter(b, r)) ./ N;

figure();imshow(q)

end


Walter Roberson

Bmp files are not always rgb.

And when they are rgb then

is always wrong.

[hei, wid, panes] = size(p);


Getnet Belie

Index exceeds matrix dimensions.

Error in feasmbll (line 21)

kk(ii,jj)=kk(ii,jj)+k(i,j)

function [kk]=feasmbll(kk,k,index)

edof=length(index);

for i=1:edof

ii=index(i);

for j=1:edof

jj=index(j);

26. kk(ii,jj)=kk(ii,jj)+k(i,j)

end

end

end

could you help me

kindly


Josh Meyer

The issue is with the line:

M(i,:)=noise(P(i):P(i)+10);

You want to take the index P(i) and grab the next 10 elements after that point, then put them into a row in M. This works fine for the first several iterations where P is picking out relatively small indices. However, some of the elements of P are picking out array elements near the end of noise, so there aren’t 10 elements after those points to grab.

To put it more concretely, here is what P contains when I ran the code:

>> P

P =

2 12 14 20 27 30 32 40 55 65 70 75 78 80 88

So, when you get to the last element of P, 88, you will want to grab elements 88-98 from noise and put them into M. However, noise only has 91 elements:

So to fix this error you need to replace the +10 with something else. You can use min(diff(P)) to see the minimum distance between consecutive indices in P, or min(abs(P-length(noise))) to see how close the last element in P is to the end of noise, or maybe you could just loop to length(P)-1 or length(P)-2, avoiding the last few large indices in P.


yuvarani divakaramoorthy

for i=1:s/k sum=0; for j=1:k sum=m((i-1)*k+j)+sum; <—(ERROR: index exceeds matrix dimensions) end M(i)=sum/k;

what can be done here?


rubina naz

Rmin = 60;

Rmax = 100;

[center, radius] = imfindcircles(RGB,[Rmin Rmax],‘Sensitivity’,0.9);

viscircles(center,radius);

hold on;

plot(center(:,1),center(:,2),‘yx’,‘LineWidth’,2);

hold off;


MathWorks Support Team

This error is returned when MATLAB tries to access elements of an array that do not exist. In this case, since “noise” only has 91 elements, MATLAB errors when the loop reaches an element of “P” such that “P(i) + 10” exceeds 91. Starting in R2018b, you will see the following error instead:

Index exceeds the number of array elements (91).

To fix this error, you will need to replace the index “P(i)+10” with something that doesn’t exceed 91, or end your loop earlier. For example, you could stop the loop at “length(P)-2”, and concatenate the remaining elements of “M” outside of the loop.


Nazish Iqbal

error.PNG

kindly help me regarding this error..

decryption.PNG


Abdul Basit

clc;

clear

close all;

LB=[0 0 0];

UB=[10 10 10];

m=3;

n=500;

wmax=0.9;

wmin=0.4;

c1=2.05;

c2=2.05;

Maxiter=100;

for run=1:20

for i=1:n

for j=1:m

pos(i,j)=(LB(i,j)+rand()).*(UB(i,j)-LB(i,j)); <===Index exceeds matrix dimensions

Please some one help as at this point i see the error: Index exceeds matrix dimension

end

end

vel=(0.1).*pos;

for i=1:n

out(i,1)=fun(pos(i,:));

end

pbestval=out;

pbest=pos;

[fminval, index]=min(out);

gbest=pbest(index,:);

iter=1;

while iter<=Maxiter

w=wmax-(iter/Maxiter).*(wmax-wmin);

X=pos;

Out=fun(X);

Har=find(out<=pbestval);

pbest(Har,:)=X(Har,:);

pbestval=out(Har);

[fbestval, ind1]=min(pbestval);

if fbestval<=fminval

fminvalue=fbestval;

gbest=pbest(ind1,:);

end

for i=1:n

for j=1:m

vel(i,j)=w.*vel(i,j)+c1.*rand().*(pbest(i,j)-pos(i,j))

+c2.*rand().*(gbeat(1,j)-pos(i,j));

pos(i,j)=vel(i,j)+pos(i,j);

if pos(i,j)<LB(j)

pos(i,j)=LB(j);

elseif pos(i,j)>UB(j)

pos(i,j)=UB(j);

end

end

end

iter=iter+1;

end

F_ans(run)=fun(gbest);

F_gbest(run,:)=gbest;

end

[bestFUN, bestRUN]=min(F_ans);

Best_X=F_gbest(bestRUN,:);

plot(F_ans)

function output = fun(X)

fx=10*(x1-1)^2+20.*x1.*x2+(x3-3)^2;

Con=[];

output=fx;

end


Mirghni  Mohammed

The program you will prepare must have an interface,

· Inputs (inputs.xlsx) and outputs (targets.xlsx) will be read from the files given to you in the program. The program will automatically determine the number of inputs and outputs according to the data read.

· There will be only one hidden layer in the program,

· The user will be able to determine the number of neurons in the hidden layer, the training rate, the number of epochs, and the data rates to be used for training and testing,

· Training and test data will be randomly selected according to the determined rate,

· The neurons in the hidden layer will use the sigmoid activation function, and the neuron in the output layer will use the linear activation (k=1) function,

· When the program starts, the initial weight values of the artificial neural network will be determined as random real numbers between -5 and 5.

· Backpropagation algorithm will be used for training.

· After the user-specified amount of training data and the desired epoch number are completed, the weights of the trained network should be displayed in the program.

· After the training is completed, the success of the test data will be graphically displayed using the trained network and test data. The metric to be used to determine success will be the Mean squared error.

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Updated May 26, 2023

Matlab Index Exceeds Matrix Dimensions

Matlab Index Exceeds Matrix Dimensions Error

In MATLAB, an ‘index exceeds matrix dimensions error’ is encountered when we try accessing an element in the array/matrix which is not in the index or not present in the array/matrix. The simple way to resolve this error is by ensuring that we are trying to access the element in the matrix or array. The array’s length should be greater than or equal to the index we call or attempt to access.

In the latest versions of MATLAB (Starting from R2018b), the error message is:

“Index exceeds the number of array elements.”

Syntax:

If A is an array, then we access any element of it using the below syntax:

E = A(n)

Where ‘n’ is the element index we want to access.

If ‘n’ is greater than the number of elements in the array, then we get the index exceeds matrix dimensions’ error in the case of a matrix or the’ index exceeds the number of array elements’ error in the case of an array.

Examples of Matlab Index Exceeds Matrix Dimensions

Let us now understand how we get this error in MATLAB and how to resolve it.

Example #1

In the first example, we will create an array with five elements and try accessing the 7th element of this array (which does not exist). This will result in an index exceed dimensions error. The steps to be followed for this example are:

  1. Initialize the array
  2. Try accessing the element which is out of the index

Code:

A = [3, 5, 1, 7, 10]

[Creating the array with five elements]

E = A(7)

[Code to access the 7th element of the array A]
[Since the 7th element does not exist in array A, we will get the error message]

This is how our input and output will look in the Matlab command window:

Input:

A = [3, 5, 1, 7, 10]
E = A(7)

Output:

Matlab Index Exceeds Matrix Dimensions 1

As we can see in the output, we got the error message since we are trying to access an element that does not exist in the array. To overcome this error, we must try accessing an element in the range, i.e., for E = A(n), ‘n’ must be less than or equal to 5.

Example #2

In this example, we will create a matrix of size 3 X 3 and try accessing an element in the 4th row (which does not exist). This will result in an index exceed dimensions error. The steps to be followed for this example are:

  1. Initialize the matrix
  2. Try accessing the element which is out of the index

Code:

A = [3, 5, 1; 7, 10, 5; 3, 6, 9]

[Creating the matrix of the order 3 X 3]

E = A(4, 2)

[Code to access the 2nd element in the 4th row of the matrix A]
[Since the 4th row does not exist in matrix A, we will get the error message]

This is how our input and output will look in the Matlab command window:

Input:

A = [3, 5, 1; 7, 10, 5; 3, 6, 9]
E = A(4, 2)

Output:

Matlab Index Exceeds Matrix Dimensions 2

As we can see in the output, we got the error message since we are trying to access an element that does not exist in the matrix. To overcome this error, we must try accessing an element in the range, i.e., for E = A(m, n), ‘m’ and ‘n’ must be less than or equal to 3.

Example #3

In this example, we will create a matrix of size 4 X 4 and try accessing an element in the 5th column (which does not exist). This will result in an index exceed dimensions error. The steps to be followed for this example are:

  1. Initialize the matrix
  2. Try accessing the element which is out of the index

Code:

A = [3, 15, 10, 4; 4, 5, 8, 0; 13, 5, 7, 10; 3, 4, 1, 6]

[Creating the matrix of the order 4 X 4]

E = A(4, 5)

[Code to access the 4th element in the 5th column of the matrix A]
[Since the 5th column does not exist in the matrix M, we will get the error message]

This is how our input and output will look in the Matlab command window:

Input:

A = [3, 15, 10, 4; 4, 5, 8, 0; 13, 5, 7, 10; 3, 4, 1, 6]
E = A(4, 5)

Output:

Example 3

As we can see in the output, we got the error message since we are trying to access an element that does not exist in the matrix. To overcome this error, we must try accessing a part in the range, i.e., for E = A(m, n), ‘m’ and ‘n’ must be less than or equal to 4.

Conclusion

‘Index exceeds matrix dimensions error’ is encountered when we try accessing an element in the array or matrix which is not in the index or not present in the array/matrix. In the latest versions of MATLAB (Starting from R2018b), the error message is: “Index exceeds the number of array elements (n)”. We can resolve this error by ensuring that the index we are trying to access is within the range of the array or matrix.

Recommended Articles

We hope that this EDUCBA information on “Matlab Index Exceeds Matrix Dimensions” was beneficial to you. You can view EDUCBA’s recommended articles for more information.

  1. Matlab Stacked Bar
  2. Examples of Matlab Syms
  3. Matlab Variables
  4. Matlab Sort

In this Insight, I’ll go over 5 common MATLAB error messages, what they mean, and how to fix them. Hopefully, after reading this post you’ll find yourself being more productive, and maybe even help your friends with their code.

Most forums online where people post MATLAB questions generate quite a bit of duplicates, and PhysicsForums is no exception. The fact is, there are just certain situations that come up constantly in MATLAB, and if you’re a newer user, don’t consider yourself a programmer, or haven’t used the software in a while, then you’re likely to get tripped up and receive one of those red error messages. It can be especially frustrating when the message doesn’t make sense to you, or your best efforts to fix it come up dry.

Table of Contents

1. Error using * Inner matrix dimensions must agree.

By far the most common error message I see posted about by new users is this one. They create a few matrices or vectors and just go to multiply them with A*B, and this message is returned. Some example code that produces this message is:

A = [1 2 3];
B = [4 5 6];
A*B
Error using * 
Inner matrix dimensions must agree.

The key to this error message is usually that people are not aware of the elementwise operators in MATLAB. The * operator performs matrix multiplication, where an NxM matrix is multiplied by an MxP matrix, resulting in an NxP matrix. Notice how those matrices have the common dimension “M”? That’s where this message comes from; it’s a common inner dimension.

Most often, you simply need to use .* instead of * to perform the elementwise multiplication, where corresponding elements are multiplied and the result is the same size as the inputs.

A.*B

ans =

     4    10    18

For more information about the different MATLAB operators, see Array vs. Matrix Operations. Note that even though this error message is the most common in this situation (since, well, multiplication is pretty popular) there are similar messages for the misuse of ^,   /, and  \   as opposed to .^, ./, and   .\.

2. Index exceeds matrix dimensions.

Quite simply, this error arises when you try to reference an element that doesn’t exist. For example, if the matrix has N elements, and you try to index into the N+1 element:

A = magic(5)
A =

    17    24     1     8    15
    23     5     7    14    16
     4     6    13    20    22
    10    12    19    21     3
    11    18    25     2     9

A(26)
Index exceeds matrix dimensions.

To fix this error, double-check that the matrix is the size you were expecting it to be and that the index you’re using is also what you expect. For example, if the index is the result of a calculation or is part of a loop, then you might need to adjust the calculation of the number of loop iterations. Some useful functions to check sizes and number of elements are numel(), size(), and length().

3. Subscript indices must either be real positive integers or logicals.

The most common reason this message arises is that people come to MATLAB from other programming languages and can’t get used to the fact that MATLAB indexing begins at 1. A(1) is the first element in a vector or matrix (or equivalently A(1,1)), not A(0) like in other programming languages!

A = magic(3)
A =

     8     1     6
     3     5     7
     4     9     2

A(0)
Subscript indices must either be real positive integers or logicals.

There are a number of theories for why MATLAB uses 1-based indexing, but ultimately the answer is pretty simple. 1-based indexing is the language of Mathematics, as confirmed by Cleve Moler himself in a comment on this April Fools blog post.

We have always had BOTH 0-based indexing and 1-based indexing. In order to distinguish between the two, 0-based indices are followed by “+1″. The 1-based indices are preferred becaused they are the language of mathematics. — Cleve

I won’t expound on this anymore, but suffice it to say if you’re interested in this, a quick google search will turn up bountiful results, as it has a long and contentious history!

This error message can also arise if you use a noninteger (or negative) value to index. What is MATLAB supposed to do with A(1.5) or A(-3)? In this context, it’s again likely that you’ll want to check the bounds of any loop statements in your code to make sure they aren’t producing decimal or negative values for indexing.

4. The expression to the left of the equals sign is not a valid target for an assignment.

This error message arises because of misuse of the = and == operators. The = operator does an assignment, and the == operator does a logical test for equality. In the context of an if statement, for example, the if operator is expecting to see a logical condition to determine whether to continue executing code. So the following example code produces this error:

n = 5;
if n = 4
    n = n.^2;
end
 if n = 4
      |
Error: The expression to the left of the equals sign is not a valid target for an assignment.

To fix this all you need to do is use == instead:

n = 5;
if n == 4
    n = n.^2;
end

This code outlines the differences between the two operators more clearly:

A = 1:5
A =

     1     2     3     4     5

B = 5;
A == B
ans =

     0     0     0     0     1

C = A == B
C =

     0     0     0     0     1

In short: when you need to compare values, use ==. When you want to assign a value, use =.

5. Subscripted assignment dimension mismatch.

This error message arises because of an attempt to assign a vector or matrix into a compartment that it does not fit in. The dimension of the subscripted elements does not match the dimension of the assignment. For example, you cannot assign the first element in a matrix to be a vector, because there is only room for 1 element:

A = magic(3)
A =

     8     1     6
     3     5     7
     4     9     2

A(1) = [4 5 6]
Subscripted assignment dimension mismatch.

This error can be much more subtle when you’re working with large matrices or loops, and it can occur because of a mismatch on either side of the equals sign. Sometimes the size of a vector or matrix can grow in an unexpected way in a loop, and you’ll receive this message and wonder what went wrong. The best way to debug this error is to double-check that all of your assignments are the sizes you expect them to be and that your matrices are growing (or not) as you expect them to.

If you don’t have any loops, just break the statement apart and check the size of each side. You won’t get this error if the sizes match exactly:

size(A(1:3))
ans =

     1     3

size([4 5 6])
ans =

     1     3

A(1:3) = [4 5 6]
A =

     4     1     6
     5     5     7
     6     9     2

Feedback

Obviously, I could go on with another 25 error messages, but I think these are the most common ones I see people posting about. If you’re interested in reading about some others, check out this link:

http://en.wikibooks.org/wiki/MATLAB_Programming/Error_Messages

Post about your favorite or least favorite MATLAB error messages in the comments, and let me know what you think!

Disclaimer: All views and/or opinions expressed in this post are my own, and should not be interpreted in any other way.
  1. HowTo
  2. Matlab Howtos
  3. MATLAB Index Exceeds Matrix Dimensions

Ammar Ali
Apr 29, 2021
Apr 09, 2021

MATLAB Index Exceeds Matrix Dimensions

In this tutorial, we will discuss how to solve the index exceeds matrix dimensions problem in MATLAB.

Index Exceeds Matrix Dimensions Problem in MATLAB

In MATLAB, every array or matrix element is stored on a specific index which starts from 1 and increases as the number of elements increases in that array or matrix. To get an element or to replace an element in an array or matrix, we use the index of that element. If an array has ten elements in it, their indices range will vary from 1 to 10, respectively.

If we try to get or replace an element using an index that is 11 or larger, which is not in the range of the indices, then MATLAB will give us an error saying the index exceeds matrix dimensions. So make sure to use the index value which is inside the indices range. You can use the size() function to check the size of your array or matrix before using an index value. For example, see the below code.

myMatrix = [4 3 2 1]
myMatrix[5] = 10;

In the above code, we are saving a value of 10 at the index value of 5 in the matrix myMatrix . But as you can see, the number of indices present in the myMatrix is only four. That means we will get an error of index exceeding matrix dimensions. To solve this problem, we have to save the value at an index inside the indices range which is 1 to 4. See the corrected code below.

myMatrix = [4 3 2 1]
myMatrix[4] = 10;

In the above code, we are saving a value of 10 at the index value of 4 in the matrix myMatrix. As you can see, the index is inside the indices range, so the value 1 in the matrix myMatrix will be replaced with the value 10.

Ammar Ali avatar
Ammar Ali avatar

Hello! I am Ammar Ali, a programmer here to learn from experience, people, and docs, and create interesting and useful programming content. I mostly create content about Python, Matlab, and Microcontrollers like Arduino and PIC.

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