Build from scratch different numerical optimization algorithms using python
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Updated
Jul 29, 2021 - Jupyter Notebook
Build from scratch different numerical optimization algorithms using python
Pseudo-Random Number Generator algorithms used for the final essay of the elective course "Reti e sistemi complessi: fenomeni fisici e interazioni sociali".
Civil Egregore - Nudges to Civilization. Made with love and AI bc im lazy.
Stochastic Modeling and Analysis of Student Mobility utilizing Markov Chains. An academic project investigating transitional probabilities and steady-state behaviors.
Codes developed for the social service "Introduction to ecological models" by Mauricio Silva
Self-exciting jump dynamics in Bitcoin variance — Hawkes SV model, 40-moment GMM, simulator-verified
Greedy, Greedy+LocalSearch(2-opt), Stocastic and GRASP implementations to solve the Symetric Travelling Salesman Problem (STSP). The TSP instances were taken from the TSPLIB website (http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95/)
CPP script that solve some fundamental problems.
Este repositorio contiene la entrega de Trabajo Final de Maestría de Modelización Estocástica del Costo Nivelado de Electricidad para la microgeneracón de Fotovoltaica en Uruguay
A web-based simulation tool developed for EMÜ322. It generates random variates using Composition, Acceptance-Rejection, Convolution, and Inverse Transform methods, dynamically comparing empirical sample distributions with theoretical models via interactive visualizations.
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