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1. lsqlin & exitflag issue... "rate of progress is slow" - MATLAB

2. lsqlin & exitflag issue... rate of progress is slow

Peter,
Thanks a lot,
Best
Nick
On Thu, 16 Sep 2004 14:14:40 +0000 (UTC), Peter Spellucci wrote:
>
>In article <gqthrnb8du8v@legacy>,
> XXXX@XXXXX.COM (Nick) writes:
> >Hello,
> >I receive a strange result when I try to use the lsqlin function:
> >"Optimization terminated: relative function value changing by less
> > than sqrt(OPTIONS.TolFun), and rate of progress is slow."
> >I played around with the 'TolFun' but always end up receiving the
same
> >exitflag.
> >Does it mean the regression is not valid ?
> >How could I change it and make it work ?
> >Many thanks,
> >Best
> >
> >Nick
> >
>this can have two reasons:
>your quadratic function is not uniformly convex of the Hessian
extremely
>illconditioned. then in minimizing in a terribly flat valley the code
>does not have progress. hence test cond(C).
>next , there may be redundant active constraints and a cycling caused
by that.
>check the output point for the active constraints and test rank of
the
>matrix of gradients (including active bounds).
>if you detect rank deficiency, try to delete the redundant
constraints
>(this is not so easy, there exists software for that, but not in the
toolbox)
>hth
>peter

3. LSQLIN: relative function value changing by less... - MATLAB

4. function count while using lsqlin

Hello,
Can neone pls tell me how to get the number of function evaluations
done when I use 'lsqlin', its there in 'fmincon' but most probably
not in lsqlin !
thanks

5. Lagre calculation with lsqlin function - MATLAB

6. warning message for function lsqlin

I am trying to solve a Ax=b problem, A is 2x2, x and b is 2x1
Specifically, I have A = Mx, b = RHS , and I used some constraint.
I used the function : lsqlin(Mx,RHS,A,b,Aeq,beq,lb,ub);
I got the following warning message :
Warning: Large-scale method can handle bound constraints only;
using medium-scale method instead.
I am not sure what this means. What should I modify to make things right ?

7. fmincon and exitflag=-2 - MATLAB

8. fmincon exitflag

Hi,
I keep encounter a general question using fmincon. I expect to get a exitflag 1 indicating a sufficient small first-order optimality measure. However, most of the time, when the algorithm terminates, I get exitflag 5 and a pretty big first-order optimality measure. To my understanding, exitflag 5 means there is not much decrease can be obtained along the search direction by a reasonable step. Should this mean a small optimality measure as well?
This really bothers me. Any help will be great!
thanks,
Ming