CODEWITHSUNDEEP
python-3.xgekko
AA10
AA10

Reputation: 207

Gekko Python3. System of equations

I would like to know that is the theoretical method that is behind the APM SOLVERs.

I am solving a problem where I have to solve a system of non-linear equations without any kind of constraints. I am using BPOPT solver and it works fine. I just would like to know what method is being used to solve such systems. It is Newton's method? Quasi-Newtons's method? I don't find any documentation about this. Could you please tell me where I can find such information?

Is it also possible to know a priori the RAM that gekko solver will need to solve a system of non-linear equations with (N) variables?

Thank you

Upvotes: 2

Views: 106

Answers (1)

John Hedengren
John Hedengren

Reputation: 14376

There is additional information on the APOPT Solver:

The BPOPT and IPOPT solvers are interior point methods while the APOPT solver is a Mixed Integer Nonlinear Programming (NLP) solver that uses an active-set SQP solver with branch and bound for integer variables.

It is difficult to know a priori the amount of memory that will be used. You may be able to monitor the local apm solve process with a tool such as psutil as discussed in How to get current CPU and RAM usage in Python? There is also more information on solver methods in the design optimization course and online textbook on optimization.

Upvotes: 1

Related Questions