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Finite Operator Learning: Bridging Neural Operators and Numerical Methods for Efficient Parametric Solution and Optimization of PDEs.
Shahed Rezaei
Reza Najian Asl
Kianoosh Taghikhani
Ahmad Moeineddin
Michael Kaliske
Markus Apel
Published in:
CoRR (2024)
Keyphrases
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numerical methods
partial differential equations
learning algorithm
prior knowledge
numerical solution
neural network
reinforcement learning
image analysis
global optimization
numerical algorithms
approximation schemes