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Algorithm Design

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466<br />

Chapter 8 NP and Computation!l Intractability<br />

for this consistent failure is that these problems simply cannot be solved in<br />

polynomial time.<br />

8.4 NP-Complete Problems<br />

In the absence of progress on the ~P = ~T question, people have turned to a<br />

related but more approachable question: What are the hardest problems in<br />

N~p~. Polynomial-time reducibility gives us a way of addressing this question<br />

and gaining insight into the structure of NT.<br />

Arguably the most natural way to define a "hardest" problem X is via the<br />

following two properties: (i) X E N~P; and (ii) for all Y E 3~T, Y _

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