DTB approximates the spatial vector field of an evolution PDE by the span of the derivatives of a deep network, updates the solution directly via linear least squares, and adapts the network occasionally.
Yu et al., The deep ritz method: a deep learning-based numerical algorithm for solving variational problems , Commu- nications in Mathematics and Statistics, 6 (2018), pp
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Deep Tangent Bundle (DTB) method: a Deep Neural Network approach to compute solutions of PDES
DTB approximates the spatial vector field of an evolution PDE by the span of the derivatives of a deep network, updates the solution directly via linear least squares, and adapts the network occasionally.