0.2.6

• Added immersed boundary and their corresponding bc impose routines in finite volume.
• Added von Karman vortex street example.

Full Changelog: 0.2.5...0.2.6

0.2.5

• Added nonhomogeneous boundary conditions (discretized array-based or function-based).
• Corresponding pytests added and various fixes of the original Jax-CFD tests regarding nonhomogeneous bcs.

Full Changelog: 0.2.4...0.2.5

0.2.4

• Added Multigrid V-cycle preconditioned CG implemented as nn.Module. Ref: Long Chen's notes on finite difference and MG on MAC grids.
• Added solver tests.

Full Changelog: 0.2.3...0.2.4

0.2.3

What's Changed

• Fixed the impose_bc behavior in the original Jax-CFD involving ghost cells and offset 1.5.
• Added an example of nonhomogeneous BC (lid-driven cavity).
• Various tests added and misc refactoring done.

Full Changelog: 0.2.2...0.2.3

0.2.2

What's Changed

• Added test_advection.py for analytical solutions.
• Added several helper functions in boundaries.py.
• Renaming certain arguments to be consistent.

Full Changelog: 0.2.1...0.2.2

0.2.1

What's Changed

• Fixed boundary values imposing bugs from Jax-cfd.
• Added a boundary test.

Full Changelog: 0.2.0...0.2.1

0.2.0

What's Changed

Batch dim support for finite volume solvers.

• Refactored GridVariable.
• Changed the behavior of several functions associated such as pad, shift, trim.
• Added unittests for finite difference routines.

Full Changelog: 0.1.0...0.2.0

0.1.0

What's Changed

• Implemented the FVM method on a staggered MAC grid (pressure on cell centers).
• Added native PyTorch implementation for applying torch.linalg and torch.fft functions directly on GridArray and GridVariable.
• Added native implementation of arithmetic manipulation directly on GridVariableVector.
• Added several helper functions consistent_grid to replace consistent_grid_arrays.
• Removed dependence of from torch.utils._pytree import register_pytree_node
• Some tests are added. Requires package pytest

Full Changelog: 0.0.8...0.1.0

0.0.8

Full Changelog: 0.0.7...0.0.8

0.0.7

Major refactoring in neural operators.