help needed for matlab error levenberg marquardt

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divya 2016-2-14

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https://ww2.mathworks.cn/matlabcentral/answers/268062-help-needed-for-matlab-error-levenberg-marquardt

评论： Star Strider 2016-2-15

i am using matlab 2015 but how to get out of this error?

Error using optimset (line 213)
  Unrecognized parameter name 'LevenbergMarquardt'.  Please see the options table in the documentation for a list of
  acceptable option parameters. Note that some parameters are only supported by OPTIMOPTIONS. Link to options table
    Error in gluc_mm_mle (line 83)
    options = optimset('Display','iter','TolFun', 1e-4,...%'iter' default:1e-4

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Answer 1

Star Strider 2016-2-14

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https://ww2.mathworks.cn/matlabcentral/answers/268062-help-needed-for-matlab-error-levenberg-marquardt#answer_209771

在 MATLAB Online 中打开

To begin with, you’re mis-spelling it. From the documentation (for optimoptions):

options = optimoptions(@lsqnonlin,'Algorithm','levenberg-marquardt','MaxFunEvals',1500)

That still may not work, depending on what solver you’re using.

In order to find out what options you have, again from the documentation for optimset:

options = optimset(optimfun) creates an options structure options with all option names and default values relevant to the optimization function optimfun.

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divya 2016-2-14

在 MATLAB Online 中打开

my partial code is

options = optimset('Display','iter','TolFun', 1e-4,...%default: 1e-4
'TolX',1e-5,... %default: 1e-4
'LevenbergMarquardt','on',... %default: on
'LargeScale','on'); %default: on
plt = 0;
%LSQNONLIN: objective function should return the model error
[p_est,resnorm,RESIDUAL,exitflag,OUTPUT,LAMBDA,Jacobian] =lsqnonlin(@obj_fn,p_init,lb,ub,options, p_fix,gluc_exp,tspan,tu, plt); disp(' ')
%Accuracy:
%lsqnonlin returns the Jacobian as a sparse matrix
varp = resnorm*inv(Jacobian'*Jacobian)/length(tspan);
stdp = sqrt(diag(varp)); %The standard deviation is the square root
%of the variance
%p = [Sg, Gb, k3, Si, Ib];
p = [p_est(1), p_fix(1), p_est(2), p_est(3), p_fix(2)];
%x0 = [G0, X0]
x0 = [p_est(4), p_fix(3)];
disp(' Parameters:')
disp([' Sg = ', num2str(p_est(1)), ' +/- ', num2str(stdp(1))])
disp([' Gb = ', num2str(p_fix(1))])
disp([' k3 = ', num2str(p_est(2)), ' +/- ', num2str(stdp(2))])
disp([' Si = ', num2str(p_est(3)), ' +/- ', num2str(stdp(3))])
disp([' Ib = ', num2str(p_fix(2))])
disp(' Initial conditions:')
disp([' G0 = ', num2str(p_est(4)), ' +/- ', num2str(stdp(4))])
disp([' X0 = ', num2str(p_fix(3))]); disp(' ')
plt = 1;
gluc = gluc_sim(tspan,x0,tu, p,plt);
%compare model output with measured data
figure(2); subplot(221)
h1 = plot(t_gluc,gluc_exp,'or', 'Linewidth',2);
%legend(h1, 'experimental test data')
still same error
Error using optimset (line 213) Unrecognized parameter name 'LevenbergMarquardt'. Please see the options table in the documentation for a list of acceptable option parameters. Note that some parameters are only supported by OPTIMOPTIONS. Link to options table
Error in gluc_mm_mle (line 83)
options = optimset('Display','iter','TolFun', 1e-4,...%'iter' default:1e-4

Star Strider 2016-2-14

在 MATLAB Online 中打开

You cannot define your optimset call with comments, so do not to this:

options = optimset('Display','iter','TolFun', 1e-4,...%default: 1e-4
'TolX',1e-5,... %default: 1e-4
'LevenbergMarquardt','on',... %default: on
'LargeScale','on'); %default: on

Try this instead:

options = optimset('Display','iter','TolFun', 1e-4,...
'TolX',1e-5,... 
'LevenbergMarquardt','on',... 
'LargeScale','on');

However, this may not be your only problem. If you are using the lsqnonlin function, you can most easily determine what options are available to you with:

options = optimset(@lsqnonlin)

Note that the algorithm specification is part of a name-value pair. You have to include it as: 'Algorithm','levenberg-marquardt' with those exact spellings. MATLAB will not recognise alternative spellings in its arguments.

So your options structure would have to be restated as:

options = optimset('Display','iter','TolFun', 1e-4,...
'TolX',1e-5,... 
'Algorithm','levenberg-marquardt',... 
'LargeScale','on');

This should work if the other parts of your optimset call are correct.

I also don’t know what version of MATLAB you’re using. The current online documentation (and the version I’m using) are R2015b, and the documentation for one version does not always apply to other versions.

divya 2016-2-15

编辑：Walter Roberson 2016-2-15

在 MATLAB Online 中打开

i have used this file....

function e = obj_fn(p_var, p_fix,data,tspan,tu, sigma_nu,sigma_mu,plt)
  %4 unknown model parameters:
  % p_var = [Sg k3 Si G0];
  %3 known parameters:
  % p_fix = [Gb Ib x0(2)];
  %p = [Sg, Gb, k3, Si, Ib];
  p = [p_var(1), p_fix(1), p_var(2), p_var(3), p_fix(2)];
  %x0 = [G0, X0]
  x0 = [p_var(4), p_fix(3)];
  gluc = *gluc_sim*(tspan,x0,tu, p, sigma_nu,sigma_mu,0);
  %LSQNONLIN: objective function should return the model error
  e = gluc-data;
  if plt==1 %fast update during estimation process
   N=length(tspan);
   figure(2)
   plot(1:N,gluc,'b',1:N,data,'r'); drawnow
  end

and for glu_sim

function gluc = gluc_sim(tspan,x0,tu, p,plt)
%SIM_INPUT_SIM Simulation of glucose minimal model.
%x0: initial conditions for glucose conc. and state variable denoting
% insulin action
%gluc: model output, glucose conc. in plasma [mg/dL]
if tspan(1) < tu(1,1)
error(' no input defined at start of simulation (compare tspan(1)) vs. tu(1,1)')
end
ode_options = [];
[t,x] = ode45(@gluc_ode,tspan,x0,ode_options, tu, p);
%Output
gluc = x(:,1);
if plt==1
 gluc_plt(tspan,x,tu,p,sigma_nu,sigma_mu)
end

Walter Roberson 2016-2-15

在 MATLAB Online 中打开

Star Strider: FYI, the syntax

options = optimset('Display','iter','TolFun', 1e-4,...%default: 1e-4
'TolX',1e-5,... %default: 1e-4
'LevenbergMarquardt','on',... %default: on
'LargeScale','on'); %default: on

is fine. The ... operator defines everything remaining on the line as being a comment to be ignored, so it is as if those %default things are not there at all as far as MATLAB is concerned.

Star Strider 2016-2-15

在 MATLAB Online 中打开

I cannot make any sense of that.

This is invalid MATLAB syntax:

gluc = *gluc_sim*(tspan,x0,tu, p, sigma_nu,sigma_mu,0);

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