Column generation is an optimization technique used to solve large linear programming problems by breaking them down into smaller subproblems and iteratively adding new variables or 'columns' that can improve the solution. This method is particularly useful in scenarios where the complete set of variables is too large to consider all at once, allowing for a more efficient solution process. It connects with various optimization methods by enhancing computational efficiency, especially in contexts involving resource allocation and decision-making.
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