So, the GSoC period has come to an end now.

**Project Goals**

My project was about creating Matlab compatible wrappers for the optim package. Here is a brief list of my project goals.

1- lsqnonlin wrapping nonlin_residmin and residmin_stat

2- lsqcurvefit wrapping nonlin_curvefit and curvefit_stat

3- nlinfit wrapping nonlin_curvefit (it was initially decided to wrap leasqr but changed to avoid extra computations)

4- quadprog wrapping __qp__ instead of qp and returning lambda in the form of a structure as in Matlab

5- fmincon wrapping nonlin_min

6- Test and demos for the above functions

7- Stretch goals: previously decided to create other missing functions or perhaps additional backends but before midterm I decided instead to include optimoptions in my to do list.

1- lsqnonlin wrapping nonlin_residmin and residmin_stat

2- lsqcurvefit wrapping nonlin_curvefit and curvefit_stat

3- nlinfit wrapping nonlin_curvefit (it was initially decided to wrap leasqr but changed to avoid extra computations)

4- quadprog wrapping __qp__ instead of qp and returning lambda in the form of a structure as in Matlab

5- fmincon wrapping nonlin_min

6- Test and demos for the above functions

7- Stretch goals: previously decided to create other missing functions or perhaps additional backends but before midterm I decided instead to include optimoptions in my to do list.

**Achievements**

The functions lsqnonlin, lsqcurvefit and nlinfit are complete with tests and demos and integrated in the optim package. Since nlinfit is from the statistics package in Matlab, additional functions such as statset, statget were required for handling options. These functions are implemented with minor modifications in optimset, optimget and __all_opts__ as statset, statget and __all_stat_opts__ and are now a part of optim package.

The function quadprog required directly wrapping __qp__ instead of qp for the ordering of lambda. It is in the final stages of review and will soon be integrated.

fmincon has not been thoroughly reviewed yet. I will send it to Olaf after quadprog is committed to optim.

**Hiccups in the stretch goal**

I couldn't create optimoptions in the GSoC time frame because it was a bit open ended and I had to come up with an object oriented design for the function. I was trying to understand how Matlab implements it for quite some time. Anyway, I didn't pursue it further and shifted my focus on the refinement of my almost complete functions to get them integrated in optim.

**Interesting Takeaways**

This is my first experience of working with any open source organization and it's definitely a pleasant one. It's delightful to see people using my functions and possibly benefiting from my work [2-3]. :)

I think I have managed to meet all the goals I set before the start of GSoC. (Regrets? Well, I could have saved more time for optimoptions and it would've been better to discuss it way before than being stuck for a while.)

I'm extremely grateful to the Octave community, especially my mentors Olaf Till and Nir Krakauer for their unrelenting support. GSoC wouldn't have been possible without their constructive feedback. I have learned a lot from this experience.

I think I have managed to meet all the goals I set before the start of GSoC. (Regrets? Well, I could have saved more time for optimoptions and it would've been better to discuss it way before than being stuck for a while.)

I'm extremely grateful to the Octave community, especially my mentors Olaf Till and Nir Krakauer for their unrelenting support. GSoC wouldn't have been possible without their constructive feedback. I have learned a lot from this experience.

[1] https://github.com/AsmaAfzal/octave_workspace/issues/1

[2] http://octave.1599824.n4.nabble.com/GSoC-2015-Optimization-Package-Non-linear-and-constrained-least-squares-lsqcurvefit-lsqlin-lsqnonlin-tp4668777p4670940.html