- PTAS reduction
In
computational complexity theory , a PTAS reduction is a reduction that is often used to perform reductions between solutions tooptimization problem s. It preserves the property that a problem has apolynomial time approximation scheme (PTAS) and is used to define completeness for certain classes ofoptimization problem s such asAPX . Notationally, if there is a PTAS reduction from a problem A to a problem B, we write .With ordinary
polynomial-time many-one reduction s, if we can describe a reduction from a problem A to a problem B, then any polynomial-time solution for B can be composed with that reduction to obtain a polynomial-time solution for the problem A. Similarly, our goal in defining PTAS reductions is so that given a PTAS reduction from an optimization problem A to a problem B, a PTAS for B can be composed with the reduction to obtain a PTAS for the problem A.Formally, we define a PTAS reduction from A to B using three polynomial-time computable functions, "f", "g", and "α", with the following properties:
* "f" maps instances of problem A to instances of problem B.
* "g" takes an instance "x" of problem A, an approximate solution to the corresponding problem in B, and an error parameter ε and produces an approximate solution to "x".
* "α" maps error parameters for solutions to instances of problem A to error parameters for solutions to problem B.
* If the solution "y" to (an instance of problem B) is at most times worse than the optimal solution, then the corresponding solution to "x" (an instance of problem A) is at most times worse than the optimal solution.From this definition it is straightforward to show that:
* and
* and
* andReferences
* Ingo Wegener. Complexity Theory: Exploring the Limits of Efficient Algorithms. ISBN 3540210458. Chapter 8, pp.110–111. [http://books.google.com/books?vid=ISBN3540210458 Google Books preview]
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