Thank you for the suggestions!
I found one of your courses: 
https://video.ucdavis.edu/channel/MAT%2B168%2BOptimization%2B%2528Matthias%2BK%25C3%25B6ppe%253B%2BFall%2B2020%2529/230382293
Can I watch this along with the textbook?
Also can you please tell me, until which lecture will be sufficient for the 
GSoC task?

On Tuesday, November 29, 2022 at 6:32:15 PM UTC+5:30 [email protected] 
wrote:

> Here are 3 pointers to literature
> 1) Vanderbei, Linear Programming and Extensions -- a good introductory
> book to linear optimization
> 2) Boyd and Vandenberghe, Convex Optimization
> 3) the MOSEK Modeling Cookbook
>
> On Sun, Nov 27, 2022 at 3:04 PM 'Vaibhav Pandey (ChemE IITBHU)' via
> sage-gsoc <[email protected]> wrote:
> >
> > Hello, I'm a sophomore at IIT BHU, hoping to contribute to Sage via 
> GSoC. I am looking to contribute to the Enhanced optimization solver 
> interfaces project as I greatly enjoy optimization. I have done a bit of ML 
> and know optimization algorithms like gradient descent, SGD etc.
> > However, I am not very familiar with apt mathematical concepts. I've 
> taken courses on Linear Algebra, Real Analysis, Probability and Statistics; 
> however, we have not covered the ideas related to this particular project.
> >
> > Hence, I'd greatly appreciate it if I could be referred to some books or 
> papers or any online resource which explains these concepts at a relatively 
> low(er) level so I can understand the topic and draft a suitable proposal.
> >
> > Thanks
> > Vaibhav Pandey
> >
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>
>
>
> -- 
> Dr. Matthias Koeppe . . . . . . . . http://www.math.ucdavis.edu/~mkoeppe
> Professor of Mathematics
>

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