Abstract
In the previous chapters, we have shown that in general, interval computations are NP-hard. This means, crudely speaking, that every algorithm that solves the interval computation problems requires, in some instances, unrealistic exponential time. Thus, the worst-case computational complexity of the problem is large. A natural question is: is this problem easy “ on average” (i.e., are complex instances rare), or is this problem difficult “ on average” too?
In this chapter, we show that “ on average”, the basic problem of interval computations is easy. To be (somewhat) more precise, we show that if input intervals are narrow enough, then interval computations are almost always easy.
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© 1998 Springer Science+Business Media Dordrecht
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Kreinovich, V., Lakeyev, A., Rohn, J., Kahl, P. (1998). If Input Intervals are Narrow Enough, Then Interval Computations are Almost Always Easy. In: Computational Complexity and Feasibility of Data Processing and Interval Computations. Applied Optimization, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2793-7_16
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DOI: https://doi.org/10.1007/978-1-4757-2793-7_16
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-4785-7
Online ISBN: 978-1-4757-2793-7
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