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An introduction to np-completeness, decision problems, and polynomial time reducibility. It explains the concept of decision problems, instances, and reductions, using examples from maximum matching problems and flow problems. The document also discusses polynomial time reducibility and its implications, and provides an example of the 3-dimensional matching problem.
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12/3 CSE 202 - NP-complete
Instance: an input, an output, and a size. Problem: a set of instances. Decision Problem: Problem where each instance’s output is “T” or “F”.
path from x to y?” isnot a decision problem.
(You know this already.)
3 CSE 202 - NP-complete
Reductions
We write A £ B , and say A is reducible to B.
A (^) B
x f(x)
{T,F}
f an instance of problem A
instance of B
Example of reductions
“Always True” & “Always False”