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Releases: beanapologist/Jump-Diffusion-Engine

v.0.1.0 Initial Public Release

17 Jun 08:03
@beanapologist beanapologist
v.0.1.0
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v.0.1.0 Initial Public Release Pre-release
Pre-release

Initial public release of Jump-Diffusion-Engine.

Overview

Jump-Diffusion-Engine is a Python, system-agnostic framework for multistable stochastic control and jump-diffusion modeling. This code is designed to be universal across any system that have stochastic processes (e.g., finance, climate modeling, grid management, biological homeostasis, satellite control, supply chain and inventory control, AI training, etc.).

Once the initial conditions and functional parameters are defined, the system requires no further external inputs to simulate complex stochastic behavior.

Included in this release

  • Initial core implementation
  • Base project structure for modeling and experimentation
  • Repository documentation and source code

Status

This is the first public release. Interfaces and APIs may change as the project matures.

Notes

Feedback, bug reports, and suggestions are welcome.

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