DGM: A deep learning algorithm for solving partial differential equations
High-dimensional PDEs have been a longstanding computational challenge. We propose to solve high-dimensional PDEs by approximating the solution with a deep neural network which is trained to satisfy the differential operator, initial condition, and boundary conditions. Our algorithm is meshfree, whi...
| Hlavní autoři: | , |
|---|---|
| Médium: | Journal article |
| Jazyk: | English |
| Vydáno: |
Elsevier
2018
|