2011 | OriginalPaper | Chapter
A Comparison of Methods for Solving Parametric Interval Linear Systems with General Dependencies
Author : Iwona Skalna
Published in: Numerical Methods and Applications
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This study compares two methods for solving interval linear systems whose coefficients are functions of interval parameters: the generalized Rump’s fixed-point iteration and Skalna’s Direct Method. Both methods have the same scope of application and require estimating the range of the same functions over a box. Evaluation of functional ranges using the simplest form of interval analysis produces wide intervals. This is due in a large part to the so-called interval dependency. To cope with the dependence problem, revised affine arithmetic with a new affine approximation of a product is used. Numerical examples are provided to show the advantages of Skalna’s Direct Method over generalized Rump’s fixed point iteration.