https://github.com/gagniuc/algorithms-in-visual-basic-for-applications
This repository includes the ".bas" files for Markov Chains that accompany the book entitled: Markov Chains: From Theory to Implementation and Experimentation. These ".bas" implementations can be used in various VBA Excel applications. This repository also includes an EXCEL file that supports VBA.
https://github.com/gagniuc/algorithms-in-visual-basic-for-applications
algorithms excel implementation markov-chain vba vba-excel vba-macros vba-modules vba-script
Last synced: about 2 months ago
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This repository includes the ".bas" files for Markov Chains that accompany the book entitled: Markov Chains: From Theory to Implementation and Experimentation. These ".bas" implementations can be used in various VBA Excel applications. This repository also includes an EXCEL file that supports VBA.
- Host: GitHub
- URL: https://github.com/gagniuc/algorithms-in-visual-basic-for-applications
- Owner: Gagniuc
- License: mit
- Created: 2021-10-28T21:47:50.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-03-16T18:56:56.000Z (about 3 years ago)
- Last Synced: 2025-01-15T07:32:05.086Z (3 months ago)
- Topics: algorithms, excel, implementation, markov-chain, vba, vba-excel, vba-macros, vba-modules, vba-script
- Language: VBA
- Homepage:
- Size: 9.13 MB
- Stars: 8
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE.md
- Support: Supporting algorithm 1 (VB).bas
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README
# Algorithms in Visual Basic for Applications
This repository includes the ".bas" implementations for Markov Chains that accompany the book entitled: Markov Chains: From Theory to Implementation and Experimentation. These ".bas" files can be used in various VBA Excel applications. This repository also includes an EXCEL file that supports VBA. This file is called "MarkovChainsApp.xlsm" and incorporates all VB ".bas" files with some experimental approaches and textual explanations in regard to these algorithms.

# References
- Paul A. Gagniuc. Markov chains: from theory to implementation and experimentation. Hoboken, NJ, John Wiley & Sons, USA, 2017, ISBN: 978-1-119-38755-8.