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table of proposed coding projects
This year contributors will have to choose between a ~175 hours medium sized project or ~350 hours large project. For all the changes that GSoC 2022 brings refer to the official website.
Mentors, please edit this wiki page, and add your ideas to the table below.
Contributors, please look for a project that interests you in the table below. Before emailing project mentors, please do at least one project test and post a link to your solution on the proposal's wiki page.
Proposal | Mentors | Languages | Type |
---|---|---|---|
MENTORS-COPY-THIS-TEMPLATE | |||
NUTS for Truncated Hamiltonian Monte Carlo | V Fisikopoulos, M Papachristou, E Tsigaridas | C++ | large |
Randomized solver for Linear Programs | A Chalkis, F. Rouillier, E. Tsigaridas | C++/R | large |
Two players zero sum continuous games with an SOS solver | V Fisikipoulos, E Tsigaridas | C++ | large |
Maximum likelihood estimation of a multidimensional log-concave density | E Tsigaridas, A Chalkis, I Psarros, C Konaxis | C++/R | large |
Randomized SDP solver | E Tsigaridas, V Fisikopoulos, A Chalkis | C++/R | large |
Integrate volesti sampling routines into cobra MATLAB toolbox | E Tsigaridas, V Fisikopoulos, A Chalkis | C++/MATLAB | large |
All contributor applications will be discussed by the GeomScale mentor community, and proposals will be ranked considering factors such as quality, contributor's ability to successfully finish the project, and impact for the GeomScale project. A finite number of slots will be granted to GeomScale by Google, if GeomScale is accepted as an org, thus only the best proposals will get chosen. This implies that it is possible that some ideas will not become GSoC projects even if they are supported by a good contributor application.
Contributors, if you are interested in a coding project related to GeomScale that is not listed above, please try to find mentors by posting a description of your project idea on the gitter. If you find mentors, feel free to add your project idea to this wiki and write an application.
STUDENT 1 AGILAN S, https://github.com/Agi7an, https://github.com/Agi7an/VolEsti/blob/main/setup.r
STUDENT 2 Ioannis Iakovidis, https://github.com/iakoviid/, https://github.com/iakoviid/volesti/tree/gsoc2022
STUDENT 3 HUSSAIN LOHAWALA, https://github.com/H9660/Volesti-/blob/main/setup.r
STUDENT 4 Huu Phuoc Le, https://github.com/huuphuocle, https://github.com/huuphuocle/sampling_correlation_matrices