Semi-weekly upload of my university notes and problem sheets

Welcome to FVD++, a next generation FVD tool inspired by newton2 (by Keith (Entropy) Cohn). It is mainly aimed for coaster enthusiasts creating sophisticated force and geometry based coasters.

OpenFOAM Foundation development repository

An addictive incremental game that teaches players the history of high energy particle physics

An addictive incremental game that teaches players the history of high energy particle physics

Script to build docker images for Tabula releases using Eclipse Temurin

Script to build docker images for Tabula releases using Eclipse Temurin

Tabula is a tool for liberating data tables trapped inside PDF files

AEM-Automated Electromagnetic MKID Simulations

Flexible Computational Science (FleCSI) Project

Flexible Computational Science (FleCSI) Project

PDE-Net: Learning PDEs from Data

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)

Complete ODE solver class in python with comparisons

Some basic econophysics models and concepts

Simple python package for performing complex mathematical operations, statistical distributions and data visualization. Package distributed on PyPi

R package for statistical inference using partially observed Markov processes

Codes that I used to build another Covid-19 data analysis page: https://anapdinizm.github.io/ensaios/covid19/

RapidFEM.jl is a Finite Element library written in Julia, aiming to provide an interface for rapid prototyping of different mathematical models without compromises on speed.

HOME OF THE BARCELONA (UPC-DFA-EPSEB) HUMAN ATRIAL MODEL

A library for discrete-time Markov chains analysis.

Adaptive QoS and DPI platform based on mathematical models & Bioinformatics Algorithms

Mechanistic modelling of outbreak response interventions to human vaccine-preventable diseases: a systematic review of modelling practices before COVID-19

Portfolio optimization is a decision-making problem in how we allocate our funding to different possible investment options so that we can get the maximum return.

Mathematical examples from many areas, including population growth, epidemiology, cell biology, and traffic modeling. The models take the form of ordinary differential equations (ODEs), difference …

Solving Optimization problems using mathematical models

A collection of simple epidemiological models with applications to COVID-19.

Materials for ICTP Workshop on Mathematical Models of Climate Variability, Environmental Change and Infectious Diseases

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.