| Name | ipctk JSON |
| Version |
1.3.1
JSON |
| download |
| home_page | None |
| Summary | A set of reusable functions to integrate Incremental Potential Contact (IPC) into a simulation. |
| upload_time | 2024-11-09 00:30:04 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.6 |
| license | MIT License Copyright (c) 2020 IPC-Sim Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
ipc
simulation
physics
science
research
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# IPC Toolkit
[](https://codecov.io/github/ipc-sim/ipc-toolkit)
[](https://github.com/ipc-sim/ipc-toolkit/blob/main/LICENSE)
## Description
IPC Toolkit is a set of reusable functions to integrate Incremental Potential Contact (IPC) into a simulation.
### Features
* IPC barrier function and its derivatives and adaptive barrier stiffness algorithm
* Broad-phase and narrow-phase continuous collision detection (CCD)
* Distance computation and derivatives between edges in 2D and triangles in 3D
* Distance barrier potential and its derivatives
* Smooth and lagged dissipative friction potential and its derivatives
### Limitations
This is not a full simulation library. As such it does not include any physics or solvers. For a full simulation implementation, we recommend [PolyFEM](https://polyfem.github.io/) (a finite element library) or [Rigid IPC](https://github.com/ipc-sim/rigid-ipc) (rigid-body dynamics) both of which utilize the IPC Toolkit.
## Installation
To install the latest release, you can use `pip`:
```
pip install ipctk
```
If you wish to install the current development code, you can compile the library from scratch. Either clone the [repo](https://github.com/ipc-sim/ipc-toolkit) manually or use `git+` with `pip`:
```
pip install git+https://github.com/ipc-sim/ipc-toolkit
```
## Help/Documentation
* A tutorial on how to use the toolkit can be found [here](https://ipctk.xyz/tutorial/getting_started.html).
* A function reference can be found [here](https://ipctk.xyz/python.html).
## Contributing
This project is open to contributors! Contributions can come in the form of feature requests, bug fixes, documentation, tutorials, and the like. We highly recommend filing an Issue first before submitting a Pull Request.
Simply fork this repository and make a Pull Request! We would appreciate:
* Implementation of new features
* Bug Reports
* Documentation
* Testing
## Citation
If you use the IPC Toolkit in your project, please consider citing our work:
```bibtex
@software{ipc_toolkit,
author = {Zachary Ferguson and others},
title = {{IPC Toolkit}},
url = {https://github.com/ipc-sim/ipc-toolkit},
year = {2020},
}
```
Additionally, you can cite the original IPC paper:
```bibtex
@article{Li2020IPC,
author = {Minchen Li and Zachary Ferguson and Teseo Schneider and Timothy Langlois and
Denis Zorin and Daniele Panozzo and Chenfanfu Jiang and Danny M. Kaufman},
title = {Incremental Potential Contact: Intersection- and Inversion-free Large Deformation Dynamics},
journal = {ACM Trans. Graph. (SIGGRAPH)},
year = {2020},
volume = {39},
number = {4},
articleno = {49}
}
```
## License
MIT License © 2020, the IPC-Sim organization (See <a href="https://github.com/ipc-sim/ipc-toolkit/blob/main/LICENSE"><code>LICENSE.txt</code></a> for details)
Raw data
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"description": "# IPC Toolkit\n\n\n\n\n[](https://codecov.io/github/ipc-sim/ipc-toolkit)\n[](https://github.com/ipc-sim/ipc-toolkit/blob/main/LICENSE)\n\n## Description\n\nIPC Toolkit is a set of reusable functions to integrate Incremental Potential Contact (IPC) into a simulation.\n\n### Features\n\n* IPC barrier function and its derivatives and adaptive barrier stiffness algorithm\n* Broad-phase and narrow-phase continuous collision detection (CCD)\n* Distance computation and derivatives between edges in 2D and triangles in 3D\n* Distance barrier potential and its derivatives\n* Smooth and lagged dissipative friction potential and its derivatives\n\n### Limitations\n\nThis is not a full simulation library. As such it does not include any physics or solvers. For a full simulation implementation, we recommend [PolyFEM](https://polyfem.github.io/) (a finite element library) or [Rigid IPC](https://github.com/ipc-sim/rigid-ipc) (rigid-body dynamics) both of which utilize the IPC Toolkit.\n\n## Installation\n\nTo install the latest release, you can use `pip`:\n\n```\npip install ipctk\n```\n\nIf you wish to install the current development code, you can compile the library from scratch. Either clone the [repo](https://github.com/ipc-sim/ipc-toolkit) manually or use `git+` with `pip`:\n\n```\npip install git+https://github.com/ipc-sim/ipc-toolkit\n```\n\n## Help/Documentation\n\n* A tutorial on how to use the toolkit can be found [here](https://ipctk.xyz/tutorial/getting_started.html).\n* A function reference can be found [here](https://ipctk.xyz/python.html).\n\n## Contributing\n\nThis project is open to contributors! Contributions can come in the form of feature requests, bug fixes, documentation, tutorials, and the like. We highly recommend filing an Issue first before submitting a Pull Request.\n\nSimply fork this repository and make a Pull Request! We would appreciate:\n\n* Implementation of new features\n* Bug Reports\n* Documentation\n* Testing\n\n## Citation\n\nIf you use the IPC Toolkit in your project, please consider citing our work:\n\n```bibtex\n@software{ipc_toolkit,\n author = {Zachary Ferguson and others},\n title = {{IPC Toolkit}},\n url = {https://github.com/ipc-sim/ipc-toolkit},\n year = {2020},\n}\n```\n\nAdditionally, you can cite the original IPC paper:\n\n```bibtex\n@article{Li2020IPC,\n author = {Minchen Li and Zachary Ferguson and Teseo Schneider and Timothy Langlois and\n Denis Zorin and Daniele Panozzo and Chenfanfu Jiang and Danny M. Kaufman},\n title = {Incremental Potential Contact: Intersection- and Inversion-free Large Deformation Dynamics},\n journal = {ACM Trans. Graph. (SIGGRAPH)},\n year = {2020},\n volume = {39},\n number = {4},\n articleno = {49}\n}\n```\n\n## License\n\nMIT License \u00a9 2020, the IPC-Sim organization (See <a href=\"https://github.com/ipc-sim/ipc-toolkit/blob/main/LICENSE\"><code>LICENSE.txt</code></a> for details)\n",
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