A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)

A collection of algorithms and methods for solving combinatorial optimization problems, including techniques for TSP, Knapsack, and other NP-hard problems using heuristics, metaheuristics, and exact methods

This project optimizes stock portfolios by selecting up to 10 tickers and a custom date range. Using Pyomo for optimization, it minimizes risk while targeting a desired return. The app displays portfolio allocations, expected returns, risk ceilings, and stock correlation heatmaps, with data sourced from yfinance