Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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○Scientific vocabulary similarity
Low similarity (7.4%) to scientific vocabulary
Repository
API for solving one dimensional conservation laws.
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
Readme.md
Collection of Conservation Laws Solver in 1D
This repository provides a framework for solving Conservation Law problems in 1D
with finite element, finite volume and machine learning methods. Execute the
program with cls1 (Conservation Laws Solver 1D).
The program uses Python 3.10.6. We suggest to use a virtual environment. For
that simply run
python -m venv venv
and
source venv/bin/activate
to activate the virtual enviornment. The needed packages can be installed via:
pip install -r requirements.txt
After installation feel free to inspect the program by typing:
./cls1 -h
The data-driven solver were generated with scripts/gen_solver_1 and
scripts/gen_solver_2.
The results of the authors thesis can be reproduced via scripts/gen_results
and are stored in the data/media directory.
Owner
- Name: Alexey Schwarzmann
- Login: A-dot-S-dot
- Kind: user
- Company: TU Dortmund
- Repositories: 2
- Profile: https://github.com/A-dot-S-dot
Math Student
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
cls1: A collection of finite element, finite volume
and machine learning solvers for one-dimensional
conservation law problems
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Alexey
family-names: Schwarzmann
email: alexey.schwarzmann@math.tu-dortmund.de
repository-code: 'https://github.com/A-dot-S-dot/cls1'
license: MIT
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Dependencies
- Jinja2 ==3.1.2
- MarkupSafe ==2.1.3
- Pillow ==10.0.1
- cmake ==3.26.4
- contourpy ==1.1.0
- cycler ==0.11.0
- filelock ==3.12.2
- fonttools ==4.40.0
- joblib ==1.2.0
- kiwisolver ==1.4.4
- lit ==16.0.6
- matplotlib ==3.7.1
- mpmath ==1.3.0
- networkx ==3.1
- numpy ==1.25.0
- nvidia-cublas-cu11 ==11.10.3.66
- nvidia-cuda-cupti-cu11 ==11.7.101
- nvidia-cuda-nvrtc-cu11 ==11.7.99
- nvidia-cuda-runtime-cu11 ==11.7.99
- nvidia-cudnn-cu11 ==8.5.0.96
- nvidia-cufft-cu11 ==10.9.0.58
- nvidia-curand-cu11 ==10.2.10.91
- nvidia-cusolver-cu11 ==11.4.0.1
- nvidia-cusparse-cu11 ==11.7.4.91
- nvidia-nccl-cu11 ==2.14.3
- nvidia-nvtx-cu11 ==11.7.91
- packaging ==23.1
- pandas ==2.0.2
- pyparsing ==3.1.0
- python-dateutil ==2.8.2
- pytz ==2023.3
- scikit-learn ==1.2.2
- scipy ==1.10.1
- six ==1.16.0
- skorch ==0.13.0
- sympy ==1.12
- tabulate ==0.9.0
- threadpoolctl ==3.1.0
- torch ==2.0.1
- tqdm ==4.65.0
- triton ==2.0.0
- typing_extensions ==4.6.3
- tzdata ==2023.3