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Matlab problem - index out of bounds because numel(temp3)=0

by cammo12
Tags: bounds, index, matlab, numeltemp30
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cammo12
#1
Jan29-07, 07:27 AM
P: 9
Hi,

I am using a Matlab program called f2matlab, which converts fortran 90 code to matlab code.

But I keep on getting the following error:

Attempted to access temp3(1); index out of bounds because numel(temp3)=0.


Does anyone know what this error relates to?

Thanks in advance.
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Dr Transport
#2
Jan29-07, 07:33 AM
Sci Advisor
PF Gold
P: 1,469
Your variable temp3 is an array and as your program loops through the code it is finding that your array index is too large, i.e. you have declared the variable to be an array of length 2 and your code says to loop through it 3 or more times.
cammo12
#3
Jan29-07, 07:42 AM
P: 9
Thanks.

It is strange because the program will work fine with some fortran code I have, but then not with other code. I just don't know why! Back to pulling my hair out...

J77
#4
Jan29-07, 07:42 AM
P: 1,157
Matlab problem - index out of bounds because numel(temp3)=0

Specifically, it's trying to access the first element of temp3. However, temp3 is empty - no elements, hence numel(temp3)=0.

Somewhere in your code, you probably want to initialise temp3 - even if it's with zeroes.
cammo12
#5
Jan29-07, 07:46 AM
P: 9
It is throwing up the error on this line of code:

temp3=temp3(temp3>temp4); temp2=temp3(1)-1;

what does temp3(temp3>temp4) mean?

Sorry about all these stupid questions
J77
#6
Jan29-07, 08:14 AM
P: 1,157
It means to make a new temp3 which contains elements such that temp3>temp4, where temp3 (the array that will be overwritten by a new temp3) and temp4 are arrays.
neurocomp2003
#7
Jan29-07, 08:44 AM
P: 1,373
always remember tha tmatlab works with vectors/matrices in regards to its variables.
The equation that may be causing the error is

temp2=temp3(1)-1

Separate that line into 2 lines...and see if it is...if it is then print temp3 (using fprintf or disp, both are your friends, fprintf>disp)
cammo12
#8
Jan29-07, 08:56 AM
P: 9
neurocomp2003 - yes I have tried this and it is temp2=temp3(1)-1 that is the problem.

print temp3 = 0.

still trying to figure out why temp3 is zero.... back to the code
J77
#9
Jan29-07, 09:03 AM
P: 1,157
Is that zero or empty?

If zero, there's no problem calling temp3(1).

If empty, there is a problem.

ps: try help keyboard for quick and convenient debugging needs.
cammo12
#10
Jan29-07, 09:13 AM
P: 9
temp3 = Empty matrix: 1-by-0

The code I am using has been tried and test by thousands of people - you can download from the matlab website.

But for some reason I am getting this error with some of the code I am using.
J77
#11
Jan29-07, 09:14 AM
P: 1,157
Quote Quote by cammo12 View Post
temp3 = Empty matrix: 1-by-0

The code I am using has been tried and test by thousands of people - you can download from the matlab website.

But for some reason I am getting this error with some of the code I am using.
What's the code?
cammo12
#12
Jan29-07, 09:18 AM
P: 9
f2matlab http://www.mathworks.com/matlabcentr...bjectType=file

I have since emailed the author of the code and he has replied with a fix for the problem.

but also said that my code contains structures which f2matlab cannot handle
J77
#13
Jan29-07, 09:40 AM
P: 1,157
OK - glad it's fixed - I also see from the comments that the f2matlab function isn't very robust.
Christiane
#14
Jan26-10, 01:29 PM
P: 2
Hi,

I'm from brazil.
I'm using a Matlab program called MMFM, which calculates the number of states in a Markov chain fluid.

But I keep on getting the following error:

??? Attempted to access flambda(4); index out of bounds because numel(flambda)=3.

Error in ==> MMFM>birthdeath at 89
lambda_i=flambda(i);

Error in ==> MMFM at 48
[tjump, state] = birthdeath(npoints, fl, fm, A);

My code is going in loop, how can I fix this?

Thanks.

The code:
function [state,R]=MMFM(pkts,a,N,M,npoints)

%Parâmetros:
%pkts=Série de tráfego a ser modelada
%a=proveniente da modelagem da função de autocovariância
%N=número de fontes agregadas
%npoints=tamanho da série sintética gerada
%M=A cadeia de markov possui M+1 estados. Variando de zero a M.
%m=média da série
%v=variância da série
%R=matriz de transições de estados
%Inputs:
%pkts,a,N,M,npoints
%Outputs:
%state, R

m=mean(pkts);
v=var(pkts);

%Modela as probabilidades do tráfego através de uma distribuição binomial
beta=a/(1+(N*((N*m)^2))/(M*N*v));
alfa=a-beta;
A=(N*v)/(N*m)+(N*m)/M;
%Inicializa a matriz de transições de estados
R=zeros(M+1);
%loop para cadeia de markov birth-death
M=M+1; %O programa considera estados {1,2,...,M+1}
for i=1:M
if i<M
R(i,i+1)=(M-i)*alfa;
end
if i>1
R(i,i-1)=(i-1)*beta;
end
R(i,i)=0;
for j=1:M
if abs(i-j)>1
R(i,j)=0;
end
end
end
%Nascimentos
nasc=M*alfa;
fl=[nasc:-alfa:alfa];
%Mortes
morte=M*beta;
fm=[beta:beta:morte];
[tjump, state] = birthdeath(npoints, fl, fm, A);
eixo=[1:npoints];
plot(eixo,state); %%%plota mudanças de estados sem considerar tempos de
%transições
figure;

[i,j]=hist(state,120);
y=i/npoints;
plot(j,y);
hold on
[p,k]=hist(pkts,120);
yy=p/npoints;
plot(k,yy,'r-');
media=mean(pkts);
tamanho=length(pkts);
poiss=poissrnd(media,tamanho,1);
[pp,kk]=hist(poiss,120);
yy=pp/npoints;
plot(kk,yy,'y-');
legend('MMFM','Real','Poisson');
xlabel('Taxa de Chegadas (Pacotes/Segundo)');
ylabel('Probabilidade');
figure;
plot(tjump,state);
xlabel('Tempo(Segundos)');
ylabel('Taxa de Chegadas (Pacotes/Segundo)');

%Chama programa birthdeath
function [tjump, state] = birthdeath(npoints, flambda, fmu,A)
% BIRTHDEATH generate a trajectory of a birth-death process
%
%[tjump, state] = birthdeath(npoints,flambda,fmu)
%Inputs: npoints - length of the trajectory
%Outputs: tjump - jump times
%state - states of the embedded Markov chain

i=1; %initial value, start on level i
tjump(1)=0; %start at time 0
state(1)=i; %at time 0: level i
for k=2:npoints
% compute the intensities
lambda_i=flambda(i);
mu_i=fmu(i);

time=-log(rand)./(lambda_i+mu_i); % Inter-step times:
% Exp(lambda_i+mu_i)-distributed

if rand<=lambda_i./(lambda_i+mu_i)
i=i+1; % birth
else
i=i-1; % death
end %if
state(k)=i;
tjump(k)=time;
end %for i

tjump=cumsum(tjump); %cumulative jump times

state=state-1;
state=state*A;
Mark44
#15
Jan26-10, 01:57 PM
Mentor
P: 21,215
Added [ code] and [ /code] tags to format your code.
Quote Quote by Christiane View Post
Hi,

I'm from brazil.
I'm using a Matlab program called MMFM, which calculates the number of states in a Markov chain fluid.

But I keep on getting the following error:

??? Attempted to access flambda(4); index out of bounds because numel(flambda)=3.

Error in ==> MMFM>birthdeath at 89
lambda_i=flambda(i);

Error in ==> MMFM at 48
[tjump, state] = birthdeath(npoints, fl, fm, A);
Look at the fl array that you're passing in the call to birthdeath. Apparently fl has only three elements, and the code in the birthdeath function is attempting to access fl(4), which isn't there.
Quote Quote by Christiane View Post

My code is going in loop, how can I fix this?

Thanks.

The code:
function [state,R]=MMFM(pkts,a,N,M,npoints)

%Parâmetros:
    %pkts=Série de tráfego a ser modelada
    %a=proveniente da modelagem da função de autocovariância
    %N=número de fontes agregadas
    %npoints=tamanho da série sintética gerada
    %M=A cadeia de markov possui M+1 estados. Variando de zero a M.
    %m=média da série
    %v=variância da série
    %R=matriz de transições de estados
        %Inputs:
            %pkts,a,N,M,npoints
        %Outputs:
            %state, R        
    
m=mean(pkts);
v=var(pkts);

%Modela as probabilidades do tráfego através de uma distribuição binomial
beta=a/(1+(N*((N*m)^2))/(M*N*v));
alfa=a-beta;
A=(N*v)/(N*m)+(N*m)/M;
%Inicializa a matriz de transições de estados
R=zeros(M+1);
%loop para cadeia de markov birth-death
M=M+1; %O programa considera estados {1,2,...,M+1}
for i=1:M
    if i<M
        R(i,i+1)=(M-i)*alfa;
    end
    if i>1
        R(i,i-1)=(i-1)*beta;
    end
    R(i,i)=0;
    for j=1:M
        if abs(i-j)>1
            R(i,j)=0;
        end
    end
end
%Nascimentos
nasc=M*alfa;
fl=[nasc:-alfa:alfa];
%Mortes
morte=M*beta;
fm=[beta:beta:morte];
[tjump, state] = birthdeath(npoints, fl, fm, A);
eixo=[1:npoints];
plot(eixo,state);   %%%plota mudanças de estados sem considerar tempos de
%transições
figure;

[i,j]=hist(state,120);
y=i/npoints;
plot(j,y);
hold on
[p,k]=hist(pkts,120);
yy=p/npoints;
plot(k,yy,'r-');
media=mean(pkts);
tamanho=length(pkts);
poiss=poissrnd(media,tamanho,1);
[pp,kk]=hist(poiss,120);
yy=pp/npoints;
plot(kk,yy,'y-');
legend('MMFM','Real','Poisson');
xlabel('Taxa de Chegadas (Pacotes/Segundo)');
ylabel('Probabilidade');
figure;
plot(tjump,state);
xlabel('Tempo(Segundos)');
ylabel('Taxa de Chegadas (Pacotes/Segundo)');

%Chama programa birthdeath
function [tjump, state] = birthdeath(npoints, flambda, fmu,A)
% BIRTHDEATH generate a trajectory of a birth-death process
%
 %[tjump, state] = birthdeath(npoints,flambda,fmu)
 %Inputs: npoints - length of the trajectory
 %Outputs: tjump - jump times
 %state - states of the embedded Markov chain

 i=1;     %initial value, start on level i
 tjump(1)=0;  %start at time 0
 state(1)=i;  %at time 0: level i
 for k=2:npoints
    % compute the intensities
    lambda_i=flambda(i);
    mu_i=fmu(i);

    time=-log(rand)./(lambda_i+mu_i);      % Inter-step times:
                                       % Exp(lambda_i+mu_i)-distributed

    if rand<=lambda_i./(lambda_i+mu_i)
      i=i+1;     % birth
    else
      i=i-1;     % death
    end          %if
    state(k)=i;
    tjump(k)=time;
 end              %for i

 tjump=cumsum(tjump);     %cumulative jump times

 state=state-1;
 state=state*A;


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