Benders’ Decomposition 101: How to Crack Open a Stochastic Program That’s Too Big to Swallow Whole

# When Your AI Problem Is Too Big to Solve, Try Breaking It Into Pieces Some real-world business problems are so complex that computers can't solve them all at once—like figuring out the best way to run a factory under uncertain conditions. A technique called Benders' Decomposition solves this by splitting the monster problem into smaller, manageable chunks: you lock down some decisions first, then let the computer solve the rest much more easily. It's like breaking a massive puzzle into sections instead of trying to assemble the whole thing at once.