[Ipopt] infeasible start-solution

[Claudia Stangl]

hallo,
I've got a lack of understanding:
The objective function of my problem is only 1, so there is nothing to 
optimize and I'am only interested in feasibility.
When solving the problem I get a feasible solution.
If I use this feasible solution as starting point in the function 
get_starting_point IPOPT needs further 8 iterations to solve the problem 
and to get (another) feasible solution. I gave the starting point to 
IPOPT with setprecision(20) so that I think that it is correct enough.

Further more you can see in the output that the mistake before iteration 
0 is less than 1^-9 and then it gets bigger. Why is this (feasible) 
point not feasible bevore iteration0?

Can somebody explain this phenomenon?

I use Ipopt version 3.8.1, running with linear solver mumps.

It would be very nice to get an answer!

kind regards
claudia stangl

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