Gradient-based Meta-solving and Its Applications to Iterative Methods for Solving Differential Equations ... In science and engineering applications, it is often ...

Oct 27, 2021 · We introduce a novel method of training tasks in clusters, which not only accelerates the meta learning process but also improves model accuracy performance.

Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving ... Scientific computing is an essential tool for scientific discovery and ...

We also develop comprehensive error analysis for the proposed method when solving a large class of semilinear parabolic PDEs. Numerical experiments on different ...

Feb 14, 2021 · Accelerating numerical methods by gradient-based meta-solving. In science and engineering applications, it is often required to solve s... 0 ...

Here, we first introduce the formulation used in TORCWA, compare it with other commercial simulations, and show the computational performance in multiple ...

Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving ... techniques for selecting hyperparameters of traditional numerical methods ...

To accelerate scientific computing, it is a promising approach to use machine learning (especially meta-learning) techniques for selecting hyperparameters of ...

The first is based on a direct method for solving system of linear equations ... Gradient method and GMRES. The direct method can provide the accurate ...

Accelerating numerical methods by gradient-based meta-solving. In science and engineering applications, it is often required to solve s... 0 Sohei Arisaka ...