Dear all! I'm sorry for asking about the project so late, I was a bit busy recently. Anyway, here I am.
My name is Alex Leontiev, I'm the first year PhD student in The University of Tokyo, specializing in representation theory (me being specializing, that is, not the Tokyo U). Please, see the list of my (so far, not reviewed) publications: https://sites.google.com/site/alexleontievtodai/Home/cv/publications-not-reviewed and talks: https://sites.google.com/site/alexleontievtodai/Home/cv/public-speeches Despite being a math student now, I've finished the Bachelor Degree in Computer Science and have continued develop software as my hobby since then. In particular, I've successfully participated in GSoC 2014 and 2016 with OpenCV library. Here's the sample of my codes on github: https://github.com/nailbiter Naturally, I became very interested in the "Improve Representation Theory" project. Before starting working on proposal, I would like to ask the following: - Is there anything that I better read/know before going about writing the proposal (I have some experience in using Sage, but not much)?; - I noticed that most items in the "TODO list" of the project are "Implement..." items. I used to do this for OpenCV, but I would like to know how much freedom will I have as an implementer: that is, is there already some datastructure/algorithm that just needs to be coded, or I will have to choose/develop the appropriate one myself as well?; I hope the mentors (in particular, the prospective mentor for this project, Prof. Scrimshaw) will be kind enough to answer these. All other participants are also highly welcomed to leave their comments on a subject:) Best Regards, Alex -- You received this message because you are subscribed to the Google Groups "sage-gsoc" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/sage-gsoc. For more options, visit https://groups.google.com/d/optout.
