This library performs different calculations in the framework of Fractional Calculus. You can find functions to calculate: Riemann-Liouville integral Caputo derivatives Riemann-Liouville derivatives the solution of a fractional differential equation the solution of a system of fractional differential equations Mittag-Leffler functions
You can install this package by following the instructions in: https://packaging.python.org/tutorials/installing-packages/ and you should use the name of the library "numfracpy".
You can find examples of these calculations in the notebooks uploaded in the page: https://github.com/jhlopezm/NUMFRACPY
Release files for numfracpy 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numfracpy-0.4.tar.gz | 6.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numfracpy-0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.4 kB
Release files / numfracpy-0.4.tar.gz
| Download URL | numfracpy-0.4.tar.gz |
|---|---|
| Size | 6.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9bef8e6f45bb0be7fce99c947480cc6e59f7a334c3fcdb76445ab0a4f40663fa
|
|
BLAKE2b-256 checksum How to use checksums |
b05b9912ab82023312b6c786745746d886156c66699c488356bdcbfa5c88848c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|
Release files / numfracpy-0.4-py3-none-any.whl
| Download URL | numfracpy-0.4-py3-none-any.whl |
|---|---|
| Size | 7.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
81a7f57ec5ce77e93d10d379b5e3b4d376b6e63141998658a4608abb722881fc
|
|
BLAKE2b-256 checksum How to use checksums |
5ea4505d689003973c5b2b36c33d21aeb0355570aeaaef4cd425a71b59bd0460
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.5
|