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In computational complexity theory, a fine-grained reduction is a transformation from one computational problem to another, used to relate the difficulty of improving the time bounds for the two problems.Intuitively, it provides a method for solving one problem efficiently by using the solution to the other problem as a subroutine.If problem can be solved in time and problem can be solved in time , then the existence of an -reduction from problem to problem implies that any significant speedup for problem would also lead to a speedup for problem .

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  • In computational complexity theory, a fine-grained reduction is a transformation from one computational problem to another, used to relate the difficulty of improving the time bounds for the two problems.Intuitively, it provides a method for solving one problem efficiently by using the solution to the other problem as a subroutine.If problem can be solved in time and problem can be solved in time , then the existence of an -reduction from problem to problem implies that any significant speedup for problem would also lead to a speedup for problem . (en)
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  • In computational complexity theory, a fine-grained reduction is a transformation from one computational problem to another, used to relate the difficulty of improving the time bounds for the two problems.Intuitively, it provides a method for solving one problem efficiently by using the solution to the other problem as a subroutine.If problem can be solved in time and problem can be solved in time , then the existence of an -reduction from problem to problem implies that any significant speedup for problem would also lead to a speedup for problem . (en)
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  • Fine-grained reduction (en)
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