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".
Codes developed for the social service "Introduction to ecological models" by Mauricio Silva
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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