blender/extern/mantaflow
Sergey Sharybin a12a8a71bb Remove "All Rights Reserved" from Blender Foundation copyright code
The goal is to solve confusion of the "All rights reserved" for licensing
code under an open-source license.

The phrase "All rights reserved" comes from a historical convention that
required this phrase for the copyright protection to apply. This convention
is no longer relevant.

However, even though the phrase has no meaning in establishing the copyright
it has not lost meaning in terms of licensing.

This change makes it so code under the Blender Foundation copyright does
not use "all rights reserved". This is also how the GPL license itself
states how to apply it to the source code:

    <one line to give the program's name and a brief idea of what it does.>
    Copyright (C) <year>  <name of author>

    This program is free software ...

This change does not change copyright notice in cases when the copyright
is dual (BF and an author), or just an author of the code. It also does
mot change copyright which is inherited from NaN Holding BV as it needs
some further investigation about what is the proper way to handle it.
2023-03-30 10:51:59 +02:00
..
helper Build: library updates for Blender 3.5 2022-12-07 15:28:17 +01:00
patches Mantaflow: call MANTA::terminateMantaflow on exit 2022-06-29 10:11:01 +10:00
preprocessed Fluid: Parallelizations for Mantaflow functions (D12002) 2021-09-06 17:30:30 +02:00
CMakeLists.txt Remove "All Rights Reserved" from Blender Foundation copyright code 2023-03-30 10:51:59 +02:00
LICENSE
README.blender Mantaflow: call MANTA::terminateMantaflow on exit 2022-06-29 10:11:01 +10:00
README.md
UPDATE.sh Fluid: Clang-format cleanups 2021-09-06 17:30:30 +02:00

README.md

Mantaflow

Mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics. Its parallelized C++ solver core, python scene definition interface and plugin system allow for quickly prototyping and testing new algorithms.

In addition, it provides a toolbox of examples for deep learning experiments with fluids. E.g., it contains examples how to build convolutional neural network setups in conjunction with the tensorflow framework.

For more information on how to install, run and code with Mantaflow, please head over to our home page at http://mantaflow.com