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Transformations that preserve malignness of universal distributions

  • Session 7B: Complexity Theory
  • Conference paper
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Computing and Combinatorics (COCOON 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 959))

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Abstract

A function μ(x) that assigns a nonnegative real number μ(x) to each bit string x is said to be malign if, for any algorithm, the worst-case computation time and the average computation time of the algorithm are functions, of the same order when each bit string x is given to the algorithm as an input with the probability that is proportional to the value μ(x). M. Li and P. M. B. Vitányi found that functions that are known as “universal distributions” are malign. We show that if μ(x) is a universal distribution and t is a positive real number, then the function μ(x) t is malign or not according as t≥1 or t<1. For t>1, μ(x) t is an example of malign functions that are not universal distributions.

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References

  1. Kobayashi, K.: On malign input distributions for algorithms. IEICE Trans. on Information and Systems E76-D (1993) 634–640

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  2. Li, M., Vitányi, P. M. B.: Worst case complexity is equal to average case complexity under the universal distribution. Inform. Process. Lett. 42 (1992) 145–149

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  3. Li, M., Vitányi, P. M. B.: An Introduction to Kolmogorov Complexity and Its Applications. Springer-Verlag (1993)

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  4. Miltersen, P. B.: The complexity of malign ensembles. SIAM J. Computing 22 (1993) 147–156

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Ding-Zhu Du Ming Li

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© 1995 Springer-Verlag Berlin Heidelberg

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Kobayashi, K. (1995). Transformations that preserve malignness of universal distributions. In: Du, DZ., Li, M. (eds) Computing and Combinatorics. COCOON 1995. Lecture Notes in Computer Science, vol 959. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0030861

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  • DOI: https://doi.org/10.1007/BFb0030861

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60216-3

  • Online ISBN: 978-3-540-44733-7

  • eBook Packages: Springer Book Archive

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