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https://github.com/chenle02/spdes-bib
Bibliograph bank for stochastic PDE and related fields
https://github.com/chenle02/spdes-bib
bibtex mathematics probability reference spde
Last synced: about 12 hours ago
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Bibliograph bank for stochastic PDE and related fields
- Host: GitHub
- URL: https://github.com/chenle02/spdes-bib
- Owner: chenle02
- License: cc-by-sa-4.0
- Created: 2024-02-23T16:52:46.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2025-01-23T19:16:33.000Z (7 days ago)
- Last Synced: 2025-01-23T20:23:31.556Z (7 days ago)
- Topics: bibtex, mathematics, probability, reference, spde
- Language: TeX
- Homepage: https://spdes-bib.readthedocs.io/en/latest/Introduction.html
- Size: 123 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
- License: LICENSE.txt
Awesome Lists containing this project
README
# SPDEs bibliography maintained by [Le Chen](http://webhome.auburn.edu/~lzc0090)
[](https://zenodo.org/doi/10.5281/zenodo.10143431)     
- [SPDEs bibliography maintained by Le Chen](#spdes-bibliography-maintained-by-le-chen)
- [Motivation](#motivation)
- [Current Statistics](#current-statistics)
- [Demo using nvim](#demo-using-nvim)
- [The bib file: All.bib.](#the-bib-file-allbib)
- [Explanations](#explanations)
- [Documentation](#documentation)
- [Some other related tools](#some-other-related-tools)
- [How to contribute](#how-to-contribute)
- [Cite this work?](#cite-this-work)
- [Acknowledgment](#Acknowledgment)
- [License](#license)
## Motivation
When writing a paper, it is not an easy task to keep the bibliography part
correct and updated. This process is also very time-consuming. Through this
repo, we provide a uniform access to the latest bibliography entries related to
the research area of the author: _Stochastic Partial Differential Equations
(SPDEs)_ and related fields.
## Current Statistics
## Demo using nvim
[](https://asciinema.org/a/596819)
- Similar auto completion function exists in [Overleaf](https://www.overleaf.com/).
## The bib file: [All.bib](All.bib).
- A GPT model was created to query the database on Nov. 12th 2023. The results are far from being usable, actually a little disappointed, but you can may some fun to play with it. Here is the [link](https://chat.openai.com/g/g-7ILEucNag-spdes-bib).
## Explanations
1. Most entries downloaded from [MathSciNet](https://mathscinet.ams.org/mathscinet) to keep the
records consistent.
2. The [BibTool](https://ctan.org/pkg/bibtool?lang=en) is used to generate the citation keys.
- The convention is two last names separated with period and two digit for year surrounded by :,
and the first word in the title. For example, `dalang:99:extending`.
3. All references are listed in [All.pdf](All.pdf), check [All.tex](All.tex) for the usage of biber
to handle the bibliography.
4. How entries are selected? Here are some general three principles that have been used:
1. All papers from some authors whose research interest is close to mine are included.
2. References from some interesting papers, whenever there is a MR number, are included.
3. References that we come across will be included.
5. [Sample setup using neovim](Sample_setup_using_neovim.md)
6. [All_Numbered pdf](All_Numbered.pdf) is generated by `bib2pdf All.bib All_Numbered.pdf`, where the list of references are listed by numbers.
7. More documentation will be added to the [wikipage](https://github.com/chenle02/SPDEs-Bib/wiki).
## Documentation
https://spdes-bib.readthedocs.io/
## Some other related tools
1. [papis](https://github.com/papis/papis)
2. [bibtex-tidy](https://github.com/FlamingTempura/bibtex-tidy)
## How to contribute
We strive for accuracy and comprehensiveness in this bibliography bank. If you
encounter any errors, typos, or issues, or if you would like to suggest
additional entries, we warmly welcome your input. Your contributions are
invaluable to the enhancement of this resource. Please feel free to open an
issue in the repository or reach out directly via email ([email protected]) for
any such matters. We aim to address all feedback promptly.
## Cite this work?
We hope that the resources compiled in this bibliography bank have been
supportive in your research endeavors. We are sincerely grateful for any form of
acknowledgment you might extend. Should you wish to mention this work, a
statement such as the one below could be included in your acknowledgments
section or as a footnote:
```
The author(s) would like to recognize the contribution of the GitHub
repository chenle02/SPDEs-Bib curated by Le Chen, which has supported this
research.
```
Or, if you prefer to directly cite this repository, please use the following
BibTeX entry[^1]:
- Le Chen (2023) “SPDEs-Bib: A Comprehensive Bibliography of Stochastic Partial Differential Equations and Related Topics”. GitHub & Zenodo. doi: 10.5281/zenodo.10143432.
```bibtex
@misc{chen:23:spdes-bib,
author = {Le Chen},
title = {{SPDEs-Bib}: A Comprehensive Bibliography of Stochastic Partial Differential Equations and Related Topics},
month = {nov},
year = {2023},
publisher = {GitHub, Zenodo \& Read the Docs},
journal = {GitHub repository},
doi = {10.5281/zenodo.10143431},
url = {https://spdes-bib.readthedocs.io}
}
```
Your support in recognizing the effort put into compiling and maintaining this
repository is much appreciated.
[^1]: To properly show the entry, one may replace `misc` by `book`.
## Acknowledgment
I am profoundly grateful to Prof. Edward Dunne, Executive Editor of
Mathematical Reviews at the American Mathematical Society, for his invaluable
guidance and approval regarding the public availability of this BibTeX file.
His willingness to support this initiative, acknowledging the potential
benefits to the mathematical community, underscores a deep commitment to
enhancing access to mathematical resources.
In our correspondence, Prof. Dunne highlighted the value of using the default
tools on MathSciNet (via the subscription), such as MRef and MRLookup. These
tools represent the forefront of efforts to facilitate access to comprehensive
mathematical reviews and references. I strongly encourage our community to
explore and utilize these powerful resources, which can significantly aid in
our research and scholarly pursuits.
I extend my sincere thanks to Prof. Dunne for his instrumental support in this
project and for reminding us of the importance of continually evolving our
tools for the efficient sharing and accessing of mathematical data.
## License
[CC-BY-SA 4.0](LICENSE.txt)