Dantzig-Wolfe decomposition is a mathematical technique used to solve large-scale linear programming problems by breaking them down into smaller, more manageable subproblems. This method focuses on separating complicating constraints from the simpler ones, which allows for a more efficient solution process. It is particularly useful in situations where the problem can be divided into a master problem and multiple subproblems, making it easier to handle large datasets and complex models.
congrats on reading the definition of Dantzig-Wolfe Decomposition. now let's actually learn it.