For well-posed variational problems, the error of any approximation, including a neural network, is equivalent to the sum of a computable discrete residual and an estimated remainder.
Deep least-squares methods: An unsupervised learning-based numerical method for solving elliptic pdes
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A posteriori analysis of neural network approximations
For well-posed variational problems, the error of any approximation, including a neural network, is equivalent to the sum of a computable discrete residual and an estimated remainder.