Computational (ABM) study of how networks influence Moral Development Dynamics
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Updated
Oct 6, 2025 - Jupyter Notebook
Computational (ABM) study of how networks influence Moral Development Dynamics
Implementation of the Simulated Annealing (SA) algorithm to tactically solve the Traveling. The project involves constructing an adjacency matrix to model inter-city distances, iteratively refining solutions through stochastic alterations influenced by a dynamically adjusted temperature parameter, and employing the Metropolis acceptance criterion.
jupyter notebooks containing beginner work done in computational science with python. done as a part of the course titled "Computing in Science -2" at IIIT Hyderabad.
The (rendered) website of the Resendis lab. Do not send PRs here! Use https://github.com/resendislab/website instead!
Repository of code and information developed for computational biology research at UGA
Inverse Matrix | Computational Science | Optimization
Compilation of Kanazawa University computational science tasks
Classifying images of strongly correlated materials with CNNs
Analysis postprocessing utilities for my molecular dynamics simulations of LiTFSI-Ether mixtures
Trabalho de Teoria da computação. - Maquina de Turing em JFLAP que calcula o horário de chegada a um lugar com fuso horário diferente.
A framework to serve as a workbench for building libraries with C++ functionality intended to be used in parallel computing environments. (Nothing to see here.)
UCSD Bioinformatics on Coursera
A small collection of spin-angular support routines for spherical problems in physics and astronomy
This repository contains implementations of algorithms from the course "Computational Science" at HUST
Visão Computacional (UTFPR)
Projects in computational math and image processing.
Forked repository from the AI for Science and Supercomputing Training Series. This fork focuses on solving specific problems using AI techniques to enhance scientific workflows and supercomputing applications, contributing improvements to the original content.
Sane Extensions to MATLAB
Machine Learning aplicado a las Ciencias Sociales
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