Affine scaling is a method used in linear programming and optimization, primarily associated with solving linear programming problems. It is an algorithmic approach that aims to find solutions to linear programming problems by iteratively updating a feasible point in a way that preserves feasibility and enhances the objective function value. Here’s a breakdown of how affine scaling works: 1. **Feasible Region**: The linear programming problem is defined over a convex polytope (a multi-dimensional shape) formed by the constraints of the problem.
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