Pressio / pressio-demoapps

Suite of 1D, 2D, 3D demo apps of varying complexity with built-in support for sample mesh and exact Jacobians

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1D Burgers' equation

gokhalen opened this issue · comments

Hi -

I am trying to reproduce the results of Lee & Carlberg on the Burgers' equation from the paper "Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders". At first, I will be satisfied with simple linear subspace Galerkin ROMs with or without hyper-reduction. Later I would like to use autoencoders to compute the manifold.

I have installed pressio, pressio-demoapps (the tests pass), pressio-tools, pressio4py and pressio-tutorials.

Where do you think I should start? My C++ is very rusty, rusty enough to be non-existent. I'm more comfortable in Python, so if I could use pressio4py, it would be great.

Nachiket

hi @gokhalen ! thanks for opening this issue!
If you want to use Python:

I might have a burgers1d problem around, i will take a look and let you know but in the meantime you can still try to run https://pressio.github.io/pressio4py/html/md_pages_demos_demo6.html since this is an autoencoder

I will take a look, thanks for your help.

I might have a burgers1d problem around, i will take a look and let you know but in the meantime you can still try to run https://pressio.github.io/pressio4py/html/md_pages_demos_demo6.html since this is an autoencoder

Would https://github.com/Pressio/pressio-sisc-burgers1d be it?

I might have a burgers1d problem around, i will take a look and let you know but in the meantime you can still try to run https://pressio.github.io/pressio4py/html/md_pages_demos_demo6.html since this is an autoencoder

I was able to get this to run.

Nachiket

oh great!