A python package for Markov chain modeling
Project description
jmarkov
jMarkov is a library to simplify the modeling of systems with Markov chains.
With jmarkov it is possible to model
- Continuous-time Markov chains (CTMCs)
- Discrete-time Markov chains (DTMCs)
- Infinite and finite Birth-Death processes (BDs)
- Queueing systems
- Markov decision processes (MDPs)
- Stochastic dynamic programs (SDPs)
To use it you can install it from pypi with the command
pip install jmarkov
You can find the documentation on how to use it here
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
jmarkov-0.3.12.tar.gz
(865.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
jmarkov-0.3.12-py3-none-any.whl
(36.1 kB
view details)
File details
Details for the file jmarkov-0.3.12.tar.gz.
File metadata
- Download URL: jmarkov-0.3.12.tar.gz
- Upload date:
- Size: 865.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4aefa882f439ca358527a99f8b667d0898082d61fffb7d0372f709f219302384
|
|
| MD5 |
cdbe2fede653164660d24a1583f01098
|
|
| BLAKE2b-256 |
2202c71e79af871b5f2db735e82fdb601283ace8fb96e484b455a26ce3d97e00
|
File details
Details for the file jmarkov-0.3.12-py3-none-any.whl.
File metadata
- Download URL: jmarkov-0.3.12-py3-none-any.whl
- Upload date:
- Size: 36.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.12.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
aea91ca95c6a1981601e4cdc380c91e9ab43e8a3d5225e248b120a98c3766513
|
|
| MD5 |
d81d7231dd5611c6f26caabc6e8396ad
|
|
| BLAKE2b-256 |
a0ad76d237f2418fe0791fe4d6df5bffc7ef1e64b6f04782bd1a37a0589c9744
|
