Combinatorial Optimization
Approximation-preserving reductions are a type of computational reduction that allow one problem to be transformed into another while preserving the approximation ratios of solutions. This means if you can approximate one problem well, you can also approximate the other problem with a similar level of accuracy. These reductions are important in understanding the relationships between different NP-hard problems and the limits of approximation algorithms.
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