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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"

covid-19.mexico

Epidemiological Mathematical Models of COVID-19 applied in Mexico

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.

elsevier-template

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

hjb-for-neural-networks

hjb-solver

Numerical solution of Hamilton Jacobi Bellman equations

hjb_finite_diff

hjb_sos

hjbequation

hjbpaperijcnn2017

hjbsolver.jl

General solver for Hamilton-Jacobi-Bellman equations

neurodynamicprogramming-mfd

Source code of the Neuro-dynamic programming approach for optimal control of Macroscopic fundamental diagram (MFD) system)

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'

optimal-control-dynamic-programming

MATLAB Optimal Control codes related to HJB Dynamic Programming to find the optimal path for any state of the system

optimal-regulation-of-cart-inverted-pendulum-system-comparison-of-hjb-and-classical-methodologies

proyecto_turbinapelton

radpbook

Source code for examples in Book "Robust Adaptive Dynamic Programming"

seals

Solving high dimensional HJB equation using tensor decomposition

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"

tt-hjb

Tensor Train implementation of Newton policy iteration for Hamilton-Jacobi-Bellman equations