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I am looking for a list of exercises that can be done to practice polynomial time reductions to prove NP-hardness of problems. I know there are hundreds (thousands?) of problems proven to be NP-hard. I am looking for some that are solvable in reasonable time, not research-level problems.

Is anyone aware of such list?

EDIT: Just elaborating on what I mean (from the discussion below).

Karp's 21 problems are too well-known, so I have spoilers to most of the answers. In Introduction to theory of computation (by Sipser), I find most of the exercises easy, with 1 or 2 problems in the right level and 2 or 3 problems just very hard (have to eventually look them up). I need exercises harder than most of the exercises in popular textbooks. If a textbook has some exercises that are harder on average than most textbooks, it would be great to know about it.

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Doesn't every book on computational complexity contain such a problem list? I guess it does. –  Damian Sobota Feb 28 '12 at 23:14
    
    
"solvable in reasonable time". Can you be more precise? –  Aryabhata Feb 28 '12 at 23:58
    
@DamianSobota The books I have been through usually have very easy exercises with very few harder exercises. –  aelguindy Feb 29 '12 at 7:23
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@aelguindy: Please edit the examples etc into the question. Not all people read the comments. –  Aryabhata Feb 29 '12 at 7:52
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