sdmp
An Optimization Software Package for Approximate Dynamic Programming
Science Score: 57.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 4 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (13.1%) to scientific vocabulary
Keywords
Repository
An Optimization Software Package for Approximate Dynamic Programming
Basic Info
- Host: GitHub
- Owner: swonh
- License: other
- Language: C#
- Default Branch: main
- Homepage: https://sites.google.com/view/sungwonhong
- Size: 147 MB
Statistics
- Stars: 5
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 9
Topics
Metadata Files
README.md
SDMP
SDMP is an optimization software package for solving sequential decision problems using approximate dynamic programming.
Licence
SDMP is licensed under the MPL 2.0 license.
Documentation
You can find the documentation at
English (ENG): https://swonh.gitbook.io/sdmp-user-manual-eng/
Korean (KOR): https://swonh.gitbook.io/sdmp-user-manual-kor/
Requirements
OS: Windows 10 or higher
IDE: Visual Studio 2019 or higher
Installation
To use SDMP, you must first install it.
Download latest version: SDMP-2.0.1-win64.zip
Note Run the Install.bat file, and it will install automatically. (Do not run any other files.)
Help
If you need help, please open a GitHub issue.
Collaborations
We welcome collaborators! If you want to work with us to improve and expand our software, please contact us! (You can also submit a pull request directly.)
Contact: swonhong.github@gmail.com
Acknowledgment
This work was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korean Government under Grant 2021R1A2C2005531.
Related Publication:
Accelerated Dynamic Programming Algorithms for a Car Resequencing Problem in Automotive Paint Shops
Sungwon Hong, Jinyoung Choi, Jinil Han, Kyungsik Lee
Applied Mathematical Modeling, 64, 285–297, 2018.
https://doi.org/10.1016/j.apm.2018.07.035
Owner
- Name: Sungwon Hong
- Login: swonh
- Kind: user
- Location: Seoul, Republic of Korea
- Website: https://sites.google.com/view/sungwonhong
- Repositories: 1
- Profile: https://github.com/swonh
Currently in Systems Optimization Lab. of the Department of Industrial Engineering at Seoul National University (SNU)
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Hong" given-names: "Sungwon" orcid: "https://orcid.org/0000-0003-4937-9392" title: "SDMP: An Optimization Software Package for Approximate Dynamic Programming" version: 2.0.1 date-released: 2024-12-20 url: "https://github.com/swonh/SDMP"
GitHub Events
Total
- Release event: 3
- Watch event: 7
- Push event: 136
- Create event: 3
Last Year
- Release event: 3
- Watch event: 7
- Push event: 136
- Create event: 3
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: 2 minutes
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- swonh (2)
Top Labels
Issue Labels
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Dependencies
- Microsoft.ML 2.0.1
- Microsoft.ML.CpuMath 2.0.1
- Microsoft.ML.DataView 2.0.1
- Newtonsoft.Json 13.0.1
- OptimizedPriorityQueue 5.1.0
- System.Buffers 4.4.0
- System.CodeDom 4.5.0
- System.Collections.Immutable 1.5.0
- System.Memory 4.5.3
- System.Numerics.Vectors 4.4.0
- System.Reflection.Emit.Lightweight 4.3.0
- System.Runtime.CompilerServices.Unsafe 4.5.3
- System.Threading.Channels 4.7.1
- System.Threading.Tasks.Extensions 4.5.4