Tensor neural networks with projection solve quasiperiodic elliptic equations after proving regularity under Diophantine conditions and a source-term restriction.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
representative citing papers
Minimum number of terms for exact antisymmetry in a class of TPFs grows exponentially with dimension, shown via CP rank of antisymmetric tensors.
citing papers explorer
-
Regularity Analysis and Tensor Neural Network Methods for Quasiperiodic Elliptic Equations
Tensor neural networks with projection solve quasiperiodic elliptic equations after proving regularity under Diophantine conditions and a source-term restriction.
-
Lower Bound on the Representation Complexity of Antisymmetric Tensor Product Functions
Minimum number of terms for exact antisymmetry in a class of TPFs grows exponentially with dimension, shown via CP rank of antisymmetric tensors.