Open Source Contributor
email: daemondzh@gmail.com
Education: Computer Sciences B.E, Tsinghua University
Completed project:
Improve automatic differentiation of object-oriented paradigms using Clad
I would like to apply for the Improve automatic differentiation of
object-oriented paradigms using Clad project. This project is mainly
focused on supporting object-oriented programming features in clad,
including several milestones such as differentiation of constructors,
differentiation of operator overloads, reference class members, and
custom derivatives for object-oriented constructs. It’s valuable as no
other AD system has done this before, and thus is experimental.
Project Proposal: URL
Project Reports: Final Report
Mentors: Vassil Vassilev, Parth Arora, Alexander Penev
We are part of the
Princeton Department of Physics
and
Princeton Institute for Computational Science and Engineering
(PICSciE).
Contact: David Lange; Vassil Vassilev
This project is supported by National Science Foundation under Grant OAC-1931408 (2020-2023) and OAC-2311471(2023-2026). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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