• 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