Warteschlangensimulator is a free, platform independent, discrete-event, stochastic simulator which allows to model queueing systems in form of flowcharts.

Callcenter Simulator is a free, platform-independent program for the analysis of staffing requirements in a call center. The simulator uses event-oriented, stochastic simulation for the computation of the parameters.

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

Time Series And Econometric Modeling In R

Tools for Stochastic Simulation using diffusion models (R).

🌲 a flexible gene expression simulator with codon-specific translation rates

Mini Callcenter Simulator simulates a call center and takes into account many parameters not covered by the Erlang C formula.

An R package for the stochastic simulation of processes with any marginal distribution and correlation structure

Service level agreement simulation for 5G network based on queueing systems.

Learn to get started using DISCOTRESS with these tutorials! Then apply to your own Markov chains in ecology 🦜🌴 economics 💸📈 biophysics 🧬🦠 and more!

Simplest simulation to use non-Exponential transitions

Simulated queueing systems using Simpy

Random Forests built on top of rpart, with additional functionality, split functions and probability distributions.

Simulation, Forecasting and Filtering of Stochastic Triad Models of Turbulence

This prototype integrates a Texas Instruments TMS320C674x DSP with the Doom 3 GPL codebase to offload real-time ray-traced audio computations for reverb, occlusion, diffraction, and absorption. It leverages libusb for low-latency data transfer and preserves compatibility with existing OSS/ALSA backends, targeting <20ms latency.

A Python framework to build and simulate stochastic rules-based models.

Monte Carlo simulation and neural regression for probabilistic cellular automata. An independent undergraduate research project exploring stochastic dynamics and steady-state behavior. 基于蒙特卡洛方法与神经网络回归的概率元胞自动机研究。 面向本科生的独立研究项目，探讨随机系统的稳态演化与统计规律。

The program for visualizing a probabilistic cellular automata

Hash-based Matching Pseudo-Random Number Generation

Algorithm for simulating Langevin dynamics and to calculate numerically the work fluctuation theorem.