Where I make a mistake with fminimax?
Dear colleagues,
I have problem with optimisation function fminimax, which I use as a variant for regression analyses made by Curve fitter.
In the attached file are the vectors for x, y and z = f(x,y).
My code is, as follow. Sorry, I don’t know how to paste it in appropriate format:
"x=x_vremetraene;
y=y_period_pretovarvane;
z=z_111;
f = @(p) abs(p(1)*(p(2)+y).^p(3)./(x+p(4)).^p(5) – z);
F = @(p) reshape(f(p),[],1);
p0 = [1 1 1 1 1];
F(p0)
ans =
1.0e+02 *
2.314576069270182
2.796122919180851
3.081916551260510
3.284514792242277
3.441464927295814
3.926826269823946
1.650257401771352
………………………..
%by this point everything is good
format long
[p,fval] = fminimax(F,p0)
Local minimum possible. Constraints satisfied.
fminimax stopped because the size of the current search direction is less than
twice the value of the step size tolerance and constraints are
satisfied to within the value of the constraint tolerance.
<stopping criteria details>
p =
1.0e+03 *
-0.320589519017169 -2.281076321933144 -0.703130918618337 -0.366998883941303 1.591728772382496
fval =
1.0e+02 *
2.317909402603515
2.801122919180851
3.088583217927177
………"
%The expected values for fval should be about 20. But they are as large as input z data.
Local minimum possible. Constraints satisfied.
I have tried p = lsqnonlin(F,p0) for preestimation of the parameters p
but it also gives me an error message.
Error using lsqncommon (line 38)
Objective function is returning Inf or NaN values at initial point. lsqnonlin cannot continue.
Error in lsqnonlin (line 264)
lsqncommon(funfcn,xCurrent,lb,ub,options,defaultopt,caller,…
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^Dear colleagues,
I have problem with optimisation function fminimax, which I use as a variant for regression analyses made by Curve fitter.
In the attached file are the vectors for x, y and z = f(x,y).
My code is, as follow. Sorry, I don’t know how to paste it in appropriate format:
"x=x_vremetraene;
y=y_period_pretovarvane;
z=z_111;
f = @(p) abs(p(1)*(p(2)+y).^p(3)./(x+p(4)).^p(5) – z);
F = @(p) reshape(f(p),[],1);
p0 = [1 1 1 1 1];
F(p0)
ans =
1.0e+02 *
2.314576069270182
2.796122919180851
3.081916551260510
3.284514792242277
3.441464927295814
3.926826269823946
1.650257401771352
………………………..
%by this point everything is good
format long
[p,fval] = fminimax(F,p0)
Local minimum possible. Constraints satisfied.
fminimax stopped because the size of the current search direction is less than
twice the value of the step size tolerance and constraints are
satisfied to within the value of the constraint tolerance.
<stopping criteria details>
p =
1.0e+03 *
-0.320589519017169 -2.281076321933144 -0.703130918618337 -0.366998883941303 1.591728772382496
fval =
1.0e+02 *
2.317909402603515
2.801122919180851
3.088583217927177
………"
%The expected values for fval should be about 20. But they are as large as input z data.
Local minimum possible. Constraints satisfied.
I have tried p = lsqnonlin(F,p0) for preestimation of the parameters p
but it also gives me an error message.
Error using lsqncommon (line 38)
Objective function is returning Inf or NaN values at initial point. lsqnonlin cannot continue.
Error in lsqnonlin (line 264)
lsqncommon(funfcn,xCurrent,lb,ub,options,defaultopt,caller,…
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Dear colleagues,
I have problem with optimisation function fminimax, which I use as a variant for regression analyses made by Curve fitter.
In the attached file are the vectors for x, y and z = f(x,y).
My code is, as follow. Sorry, I don’t know how to paste it in appropriate format:
"x=x_vremetraene;
y=y_period_pretovarvane;
z=z_111;
f = @(p) abs(p(1)*(p(2)+y).^p(3)./(x+p(4)).^p(5) – z);
F = @(p) reshape(f(p),[],1);
p0 = [1 1 1 1 1];
F(p0)
ans =
1.0e+02 *
2.314576069270182
2.796122919180851
3.081916551260510
3.284514792242277
3.441464927295814
3.926826269823946
1.650257401771352
………………………..
%by this point everything is good
format long
[p,fval] = fminimax(F,p0)
Local minimum possible. Constraints satisfied.
fminimax stopped because the size of the current search direction is less than
twice the value of the step size tolerance and constraints are
satisfied to within the value of the constraint tolerance.
<stopping criteria details>
p =
1.0e+03 *
-0.320589519017169 -2.281076321933144 -0.703130918618337 -0.366998883941303 1.591728772382496
fval =
1.0e+02 *
2.317909402603515
2.801122919180851
3.088583217927177
………"
%The expected values for fval should be about 20. But they are as large as input z data.
Local minimum possible. Constraints satisfied.
I have tried p = lsqnonlin(F,p0) for preestimation of the parameters p
but it also gives me an error message.
Error using lsqncommon (line 38)
Objective function is returning Inf or NaN values at initial point. lsqnonlin cannot continue.
Error in lsqnonlin (line 264)
lsqncommon(funfcn,xCurrent,lb,ub,options,defaultopt,caller,…
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ fminimax MATLAB Answers — New Questions
