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This article explores the concept of reduction in computational complexity, specifically focusing on scenarios where problem A is at least as difficult as problem B. A reduction from B to A involves a transformation R that takes an input x from problem B and converts it into an input R(x) for problem A. The relationship holds if A can solve R(x), providing a solution for B. This analysis discusses the conditions under which R must be easily computable, ensuring that the reduction process is viable and meaningful in complexity theory.
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