About
Mlhp is a C++ library with python bindings that implements multi-level hp- and other finite element methods efficiently also for dimensions > 3. A particular strength of mlhp is the support for non-conforming finite elements (e.g. the Finite Cell Method). It provides the technology to directly simulate with implicitly defined geometries, STLs, and voxel-based data without the need to create a conforming mesh. The project is actively developed and documents mostly through examples and comments. Full backward compatibility may occasionally be broken when a refactor or new feature requires API changes.
Python package
We provide a substantial subset of mlhp's functionality through pre-compiled wheels available on PyPI:
pip install mlhp
These wheels are available for most common platforms and for recent Python versions. We require no additional dependencies besides those already baked into the wheels. As a result, you get a fully functioning finite element kernel that can be interfaced with numpy/scipy/cupy relatively easily and provides C-interfaces for extensions similar to Ansys/Abaqus user subroutines that can be compiled directly in Python using cffi/numba.
Use the Python examples as guidance; they are shipped with our wheels (try mlhp.examples()), but you can also access them via this repo (examples/). In addition, help() provides more granular information and documents overload resolution.
Submodules
The header-only libraries pybind11, Catch2, and vtu11 are included as git submodules. To clone them recursively, use:
git clone --recursive https://gitlab.com/hpfem/code/mlhp.git
Getting started
- Examples
- Compiler and platform support
- Setting up an executable that uses mlhp.
- Core class structure
- Doxygen documentation
References and publications
If you use our code for your scientific research, please acknowledge this by referring to the following publication:
P. Kopp, E. Rank, V. M. Calo, S. Kollmannsberger, 2022: Efficient multi-level hp-finite elements in arbitrary dimensions, Computer Methods in Applied Mechanics and Engineering, Volume 401, Part B, 115575, DOI: 10.1016/j.cma.2022.115575
Here are some of the publications using this project:
- V. Holla, P. Kopp, J. Grünewald; P. Praegla, C. Meier, K. Wudy, S. Kollmannsberger, 2023: Laser beam shape optimization: Exploring alternative profiles to Gaussian-shaped laser beams in powder bed fusion of metals, 2023 International Solid Freeform Fabrication Symposium, DOI: 10.26153/TSW/50986
- V. Holla, P. Kopp, J. Grünewald, K. Wudy, S. Kollmannsberger, 2023: Laser beam shape optimization in powder bed fusion of metals, Additive Manufacturing, Volume 72, 103609, DOI: 10.1016/j.addma.2023.103609
- P. Kopp, V. M. Calo, E. Rank, S. Kollmannsberger, 2022: Space-time hp-finite elements for heat evolution in laser powder bed fusion additive manufacturing, Engineering with Computers, Volume 38, pages 4879–4893, DOI: 10.1007/s00366-022-01719-1
- S. Kollmannsberger; P. Kopp, 2021: On accurate time integration for temperature evolutions in additive manufacturing, GAMM-Mitteilungen, Volume 44, Issue 4, DOI: 10.1002/gamm.202100019
2 maintainers
Metadata
2 maintainers
Release files for mlhp 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| mlhp-0.2.2.tar.gz | 2.0 MB | Without provenance | Details for mlhp-0.2.2.tar.gz |
Built distributions (wheels)
Total release size: 116.3 MB
Release files / mlhp-0.2.2.tar.gz
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Release files / mlhp-0.2.2-cp314-cp314t-win_amd64.whl
| Download URL | mlhp-0.2.2-cp314-cp314t-win_amd64.whl |
|---|---|
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Release files / mlhp-0.2.2-cp39-cp39-win_amd64.whl
| Download URL | mlhp-0.2.2-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 2.5 MB |
| Tags | CPython 3.9 Windows x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
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Release files / mlhp-0.2.2-cp39-cp39-musllinux_1_2_x86_64.whl
| Download URL | mlhp-0.2.2-cp39-cp39-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 4.5 MB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / mlhp-0.2.2-cp39-cp39-musllinux_1_2_i686.whl
| Download URL | mlhp-0.2.2-cp39-cp39-musllinux_1_2_i686.whl |
|---|---|
| Size | 4.9 MB |
| Tags | CPython 3.9 Linux musl 1.2+ x86-32 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / mlhp-0.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | mlhp-0.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 3.4 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / mlhp-0.2.2-cp39-cp39-macosx_15_0_arm64.whl
| Download URL | mlhp-0.2.2-cp39-cp39-macosx_15_0_arm64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | CPython 3.9 macOS 15.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / mlhp-0.2.2-cp38-cp38-musllinux_1_2_x86_64.whl
| Download URL | mlhp-0.2.2-cp38-cp38-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 4.5 MB |
| Tags | CPython 3.8 Linux musl 1.2+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / mlhp-0.2.2-cp38-cp38-musllinux_1_2_i686.whl
| Download URL | mlhp-0.2.2-cp38-cp38-musllinux_1_2_i686.whl |
|---|---|
| Size | 4.9 MB |
| Tags | CPython 3.8 Linux musl 1.2+ x86-32 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Release files / mlhp-0.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | mlhp-0.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 3.4 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.2.0 CPython/3.12.13
|
Security for mlhp 0.2.2
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