DocumentCode :
3165332
Title :
Box math and KSM: Extending Sherman-Morrison to functions of interval matrices
Author :
Kelsey, Ralph
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
fYear :
2013
fDate :
24-28 June 2013
Firstpage :
338
Lastpage :
343
Abstract :
Certain advantages of midpoint/radius notation for boxes are well known. Box notation, a concise midpoint/radius scheme employing a `box operator´, π, significantly simplifies box calculations. The box math approach to interval analysis, emphasizing `image-centered´ representations and assessment of quality of approximation, demonstrates the power of mid-point/ radius methods. A prime example is the KSM method, extending complex analysis type expansions to functions of matrix boxes. This works particularly well for the inverse of a matrix box, leading to simple formulas for the hull of the solution of a linear box equation (interval matrix equation). An outline of key ideas of box math and proofs of some basic KSM theorems is presented below.
Keywords :
approximation theory; matrix algebra; KSM; Sherman-Morrison; approximation quality; box calculations; box math; box notation; image-centered representations; interval analysis; interval matrix functions; linear box equation; matrix boxes; midpoint-radius notation; Approximation methods; Equations; Mathematical model; Standards; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
Type :
conf
DOI :
10.1109/IFSA-NAFIPS.2013.6608423
Filename :
6608423
Link To Document :
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