NDLI: The Computational Complexity of Random Variables with Uniform, Exponential and Pareto Distributions in Real and Interval Forms

Content Provider	IEEE Xplore Digital Library
Author	Fonseca Finger, A. Brum Loreto, A. Signori Furlan, V.
Copyright Year	2013
Description	Author affiliation: Centro de Desenvolvimento Tecnol., Univ. Fed. de Pelotas, Pelotas, Brazil (Fonseca Finger, A.; Brum Loreto, A.; Signori Furlan, V.)
Abstract	To obtain the numerical value of the Uniform, Exponential and Pareto distributions is necessary to use numerical integration and its value is obtained by approximation and therefore affected by rounding or truncation errors. Through the use of intervals, there is an automatic control error with reliable limits. The objective of the work is to analyze the computational complexity for computing the random variables with Uniform, Exponential and Pareto distributions in real and interval form in order to justify that, it to the use intervals to represent the real form of these variables, it is possible to control the propagation of errors and maintain the computational effort.
Starting Page	79
Ending Page	83
File Size	133133
Page Count	5
File Format	PDF
ISBN	9781479930579
DOI	10.1109/WEIT.2013.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-15
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Numerical algorithms and problems Statistical computing Density functional theory Probability distribution Random variables Computational complexity Interval arithmetic
Content Type	Text
Resource Type	Article

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