I have an optimization problem I want to solve with Ipopt. I have implemented the problem both with Pagmo using Ipopt solver, and directly over the Ipopt interface.
So far, I have managed to get the same results for both interfaces, using Hessian approximation. I wanted to implement now the exact Hessian. My problem is implemented in an external class, and I just call the corresponding methods in pagmo/Ipopt interface and adapt the input/output.
With the exact Hessian, I am getting similar results, but not exactly the same ones. I wanted to ask if my understanding to implement the Hessian with Pagmo is correct.
Following the docs, I use the default Hessian pattern, i.e, assume a dense matrix. I have 2 variables, and 2 constraint functions. therefore, my hessians function in Pagmo, returns something like this for a certain vector x:
So the computation of the Hessian is the same, the difference (constraints cancel out in this case) is just the format required, as Pagmo requires the Hessian of each constraint function. I know it's pretty hard to tell what it could be wrong, so my question is more about:
Is the format correct? In both cases, I return the lower triangle of the Hessian
Is there anything hardcoded for Pagmo that I should be aware of and I could be missing?
I have an optimization problem I want to solve with Ipopt. I have implemented the problem both with Pagmo using Ipopt solver, and directly over the Ipopt interface.
So far, I have managed to get the same results for both interfaces, using Hessian approximation. I wanted to implement now the exact Hessian. My problem is implemented in an external class, and I just call the corresponding methods in pagmo/Ipopt interface and adapt the input/output.
With the exact Hessian, I am getting similar results, but not exactly the same ones. I wanted to ask if my understanding to implement the Hessian with Pagmo is correct.
Following the docs, I use the default Hessian pattern, i.e, assume a dense matrix. I have 2 variables, and 2 constraint functions. therefore, my
hessiansfunction in Pagmo, returns something like this for a certain vectorx:hessian = [ [1.48304e-10 , 2.77556e-15, 5.55334e-11], [2, 0, 0], [-2, 0, 0] ]
In Ipopt, for the same vector and exactly the same setUp, I return:
hessian = [ 1.48304e-10, 2.77556e-15, 5.55334e-11]
So the computation of the Hessian is the same, the difference (constraints cancel out in this case) is just the format required, as Pagmo requires the Hessian of each constraint function. I know it's pretty hard to tell what it could be wrong, so my question is more about:
Thank you for your time.