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Linear Interval Equations: Midpoint Preconditioning May Produce a 100% Overestimation for Arbitrarily Narrow Data Even in Case <Emphasis Type="Italic">n</Emphasis> = 4
Authors:Email author" target="_blank">Ji?í?RohnEmail author
Affiliation:(1) Institute of Computer Science, Czech Academy of Sciences, Pod vodárenskou vecaronzcaroní 2, 18207 Prague, Czech Republic
Abstract:We construct a linear interval system Ax = b with a 4 × 4 interval matrix whose all proper interval coefficients (there are also some noninterval ones) are of the form –epsi, epsi]. It is proved that for each epsi > 0, the interval hull $$\mathop{x}\limits_{-},\mathop{x}\limits^{-} ]$$ and interval hull of the midpoint preconditioned system $$\mathop{x}\limits_{=},\mathop{x}\limits^{=} ]$$ satisfy $$\bar{x}_1 =0.6$$ and $${\mathop{x}\limits^{=}}_1 =1.2$$ , hence midpoint preconditioning produces a 100% overestimation of $$\bar{x}_1$$ independently of epsi in this case. The example was obtained as a result of an extensive MATLAB search.
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