🌍 Where You'll See This in Real Life
Logistics
optimal delivery routes (TSP)
Amazon, Flipkart and Zomato solve millions of vehicle-routing optimisations daily — minimise total distance subject to capacity constraints.
ML
gradient descent trains every neural network
Every neural-network training run is gradient-descent optimisation: minimise loss(W) by moving W in the negative-gradient direction.
Finance
portfolio allocation
Portfolio optimisation (Markowitz) maximises expected return for a fixed risk — a quadratic-programming problem solved daily by every fund.
Manufacturing
production scheduling
Linear programming schedules production lines to maximise throughput within machine-time and material constraints — born at WWII Pentagon.
Energy
power grid load balancing
Power grids run optimal-power-flow solvers every 5 minutes to dispatch the cheapest generation that meets demand and respects line limits.
Sports analytics
lineup optimisation
IPL teams optimise auction bids and batting orders using mixed-integer programming — "spend the budget for max expected wins".
