Uncertainty treatment library
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Updated
Jul 15, 2024 - C++
Uncertainty treatment library
UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Pieces of code that have appeared on my blog with a focus on stochastic simulations.
A library for discrete-time Markov chains analysis.
kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order
Python implementation of fractional brownian motion
Geostatistical Inversion
DelaySSAToolkit.jl: a tool in Julia for stochastic simulation with delays
Numerical experiments with stochastic differential equations
A tiny package to compute the dynamics of stochastic and molecular simulations
This code belongs to ACL conference paper entitled as "An Online Semantic-enhanced Dirichlet Model for Short Text Stream Clustering"
Model of propagating blobs in 1D and 2D
C++ implementation of the Structural Preferential Attachment network growth simulation
The Coastal version of the Stochastic Multcloud model
A multi agent dynamics application of lloyd's deployment algorithm bases on centroidal veronoi tesselations
This repository includes Matlab codes/routines that were used in our manuscript entitled "Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks" that can be found in this preprint: https://arxiv.org/abs/1911.06286
Basic discrete event simulation of a queuing system. This simulation can be used as a basis for most other types of discrete-event simulations. This version is an example that simulates a G/G/c queuing system.
Genetic algorithm implementation for Sudoku
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