Lis90's repositories
Forecasting-Covid-19-Cases-Dynamic-Model
In this analytical project, we apply a dynamic mathematical model for forecasting the probability healthy people in terms of time and number
COVID-19-data
Collection of Wuhan-nCov Data
COVID-19-vaccination-strategy
Code for the article "PRAGMATIC COVID-19 VACCINATION STRATEGY FOR INDIA: A MATHEMATICAL MODELLING BASED ANALYSIS"
RADPBook
Source code for examples in Book "Robust Adaptive Dynamic Programming"
COVID-19.Mexico
Epidemiological Mathematical Models of COVID-19 applied in Mexico
ONaraighByrne_COVID19_optimal_control
Code used to obtain the results in 'Piecewise-Constant Optimal Control Strategies for Controlling the Outbreak of COVID-19 in the Irish Population'
TT-HJB
Tensor Train implementation of Newton policy iteration for Hamilton-Jacobi-Bellman equations
Stochastic-Covid-19
The associated MATLAB code for the model and results described in the paper "A New Mathematical Model for Controlled Pandemics Like COVID-19 : AI Implemented Predictions"
NeuroDynamicProgramming-MFD
Source code of the Neuro-dynamic programming approach for optimal control of Macroscopic fundamental diagram (MFD) system)
COVID-19_Trajectory
The scope of this project is to mathematically model and analyze the growth and trajectory of COVID-19 pandemic using global data provided my John Hopkins Hospital. Since this is a Matlab Live Script Document, all the code and data are transparent and please feel free to criticize and leave your own suggestions. The data is up to data as of March 29, 2020. One can easily add and modify data regarding to one's needs using this livescript.
SeALS
Solving high dimensional HJB equation using tensor decomposition
Optimal-Control-Dynamic-Programming
MATLAB Optimal Control codes related to HJB Dynamic Programming to find the optimal path for any state of the system
HJBSolver.jl
General solver for Hamilton-Jacobi-Bellman equations
HJB-solver
Numerical solution of Hamilton Jacobi Bellman equations