| 31. | There are decision problems that are NP-hard but not NP-complete, for example the halting problem.
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| 32. | This is proved by reducing a decision problem of quantified Boolean formula to Edge Geography.
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| 33. | Every search problem has a corresponding decision problem, namely
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| 34. | The decision problem for Presburger arithmetic is an interesting example in computational complexity theory and computation.
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| 35. | However, this is not really the case, since function problems can be recast as decision problems.
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| 36. | If the manager is given control over these decisions problems can arise ( see below ).
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| 37. | Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams.
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| 38. | To highlight the decision problem in as stark a way as possible, the first was quite artificial.
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| 39. | By repeatedly answering the decision problem, it is possible to find the minimal weight of a tour.
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| 40. | Unlike Peano arithmetic, Skolem arithmetic is a computational complexity of this decision problem is triply exponential, however.
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