How can I go back and resolve failed attempts?

Question

sittmo 2013-8-6

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/84096-how-can-i-go-back-and-resolve-failed-attempts

Hi everyone, so I have the following code:

clc;
clear;
% Import data
% PD: probability of default
% CM: covariance matrix
% DT: default threshold
PD = xlsread('Data_CIMDO.xlsx','PD');
CM = xlsread('Data_CIMDO.xlsx','COV');
DT = xlsread('Data_CIMDO.xlsx','DT');
Original_PD = PD;                       %Store original PD
LM_rows = 11;                           %Expected LM rows
LM_columns = length(PD)                 %Expected LM columns
LM_FINAL = zeros(LM_rows,LM_columns);    %Dimensions of LM_FINAL
for i = 1:length(PD)
    PD = Original_PD(:,i);
    options = optimset('Display','iter');
    x0 = rand(size(PD,1)+1,1);
    [LM,fval,exitflag] = fsolve(@(x)ConstLM(x,PD,CM,DT), x0, options);
    LM_FINAL(:,i) = LM;
end

Now since the code depends on the initial value (x0) when solving for LM, after one run of the code there are many unsolved values for LM as the initial x0 was incorrectly guessed. So how can I adjust the code such that it keeps running until all LM's have been solved?

Thanks.

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Answer 1

Jan 2013-8-6

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/84096-how-can-i-go-back-and-resolve-failed-attempts#answer_93653

编辑：Jan 2013-8-6

在 MATLAB Online 中打开

...
for k = 1:100
  [LM, fval, exitflag] = fsolve(@(x)ConstLM(x,PD,CM,DT), x0, options);
  if exitflag == 1
    break;
  end
end
if exitflag ~= 1
  warning('FSOLVE did not find a solution.');
end
...