Yongcun Song

Yongcun Song
Postdoctoral Researcher
Funded by Alexander von Humboldt Stiftung/Foundation

  yongcun.song@fau.de
  Room 03.362 | Friedrich-Alexander-Universität Erlangen Nürnberg. FAU DCN-AvH Chair for Dynamics, Control, Machine Learning and Numerics – Alexander von Humboldt Professorship.
  +49 9131 85-67170

  My Publications at FAU-CRIS

Main research interests are numerical analysis and scientific computing in general. Topics include numerical optimization, operator splitting algorithms, machine learning, and optimal control problems.
 
 PhD Thesis: First order numerical algorithms for some optimal control problems with PDE contraints (July 23, 2021)
 

Teaching

• WS 22/23: Introduction to Control and Machine Learning
• WS 21/22: CML: Control, Machine Learning, and Numerics

 

My posts on Math & Research

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach By Yongcun Song, Postdoctoral Researcher at FAU DCN-AvH ...

Publications

2024

2023

2020

2019

2017

 

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