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3. (15 points) Satisfactory DNF We closed out our lectures on propositional logic by discussing the computational Satisfiability problem. For this problem, we are given
3. (15 points) Satisfactory DNF We closed out our lectures on propositional logic by discussing the computational Satisfiability problem. For this problem, we are given as input a formula in CNF and asked to find out if it can be satisfied, i.e., there is a setting of the variables that makes the formula true. This is a very hard problem to solve efficiently and a "good" algorithm would win one million dollars. However it turns out that if the input is given in DNF the problem becomes very easy to solve. First we will build up a little intuition. (a) Write down two different formulas in DNF that can be satisfied. (b) Write down two different formulas in DNF that can not be satisfied (c) Now, describe a fast algorithm that decides if a DNF formula can be satisfied. (Your algorithm should be fast, even for formulas with thousands of variables. So you should not build a truth table.)
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