https://github.com/mrtkp9993/yanl
Yet Another Numeric Library
https://github.com/mrtkp9993/yanl
numerical-algorithms numerical-analysis optimization optimization-algorithms probability-distribution random-number-generators statistical-inference stochastic-differential-equations stochastic-processes
Last synced: 3 months ago
JSON representation
Yet Another Numeric Library
- Host: GitHub
- URL: https://github.com/mrtkp9993/yanl
- Owner: mrtkp9993
- License: gpl-3.0
- Created: 2023-04-13T07:19:00.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-04-22T17:57:15.000Z (about 2 years ago)
- Last Synced: 2025-01-18T16:47:42.335Z (5 months ago)
- Topics: numerical-algorithms, numerical-analysis, optimization, optimization-algorithms, probability-distribution, random-number-generators, statistical-inference, stochastic-differential-equations, stochastic-processes
- Language: Jupyter Notebook
- Homepage:
- Size: 85 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Yet Another Numeric Library
[](https://github.com/mrtkp9993/yanl/actions/workflows/pytest.yml)
My similar projects
* [MCMC in Nim](https://github.com/mrtkp9993/nim-mcmc)
* [Some numerical algorithms in Julia](https://github.com/mrtkp9993/NumericalAlgorithms.jl)
* [My immortal beloved: Fortran](https://github.com/mrtkp9993/Numerical-Methods-in-Fortran)
* [My old friend: C++](https://github.com/mrtkp9993/Cpp-Examples)## Current Roadmap
* [ ] Optimization algorithms
* [ ] Powell
* [x] Nelder-Mead
* [ ] Random number generation
* [ ] Distribution fitting
* [ ] Simulating stochastic differential equations
* [x] Diffusion process
* [x] Euler scheme
* [x] Milstein scheme
* [x] Shoji-Ozaki scheme
* [ ] Fractional process
* [ ] Compound Poission process
* [ ] Point process
* [ ] Estimating stochastic differential equations
* [ ] Parametric methods
* [ ] Non-parametric methods
* [ ] Pseudo-likelihood methods
* [ ] Euler method
* [ ] Elerian method
* [ ] Approximated likelihood methods
* [ ] Kessler method## Support me
[](https://github.com/sponsors/mrtkp9993)
## Promotion for my closed source apps
* [tradesly AI Robo-advisor & Stock Tracker & Trading Signals | Data-Driven Trading](https://play.google.com/store/apps/details?id=com.tradesly.tradesly)
* [tradeslyFX AI Robo-advisor & Forex Signals | Data-Driven Trading](https://play.google.com/store/apps/details?id=com.tradesly.tradeslyfx)
* [tradeslyPRO AI Robo-advisor & Crypto Trading Signals | Data-Driven Trading](https://play.google.com/store/apps/details?id=com.tradesly.tradeslypro)