Machine Learning for semi linear PDEs
2018-09-20Code Available0· sign in to hype
Quentin Chan-Wai-Nam, Joseph Mikael, Xavier Warin
Code Available — Be the first to reproduce this paper.
ReproduceCode
- gitlab.com/14chanwa/ml_for_semilinear_pdesOfficialIn papertf★ 0
Abstract
Recent machine learning algorithms dedicated to solving semi-linear PDEs are improved by using different neural network architectures and different parameterizations. These algorithms are compared to a new one that solves a fixed point problem by using deep learning techniques. This new algorithm appears to be competitive in terms of accuracy with the best existing algorithms.