• DocumentCode
    239064
  • Title

    Piecewise-quadratic rate smoothing: The cyclic context

  • Author

    Huifen Chen ; Schmeiser, Bruce W.

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Chung-Yuan Univ., Chungli, Taiwan
  • fYear
    2014
  • fDate
    7-10 Dec. 2014
  • Firstpage
    486
  • Lastpage
    497
  • Abstract
    Even when they are known to be continuous, Poisson-process rate functions are sometimes specified as piecewise constant. To better approximate the unknown continuous rate function, we fit a piecewise-quadratic function. In addition to maintaining the rate´s integral over each time interval, at each interval´s end point we match the rates and their first derivatives. For every interval with negative rates, we force non-negativity by taking the maximum of zero and the quadratic-function value, modifying the quadratic to maintain the integral value. These rate functions can be used alone or applied after one or more iterations of I-SMOOTH, our existing algorithm designed for the same problem. We provide examples. Finally, we discuss random-process generation from piecewise-quadratic rate functions.
  • Keywords
    continuous systems; function approximation; piecewise constant techniques; random processes; smoothing methods; stochastic processes; I-SMOOTH; Poisson-process rate function; continuous rate function; cyclic context; nonnegativity; piecewise constant; piecewise-quadratic function; piecewise-quadratic rate function; piecewise-quadratic rate smoothing; quadratic-function value; random-process generation; Approximation methods; Bibliographies; Context; Educational institutions; Equations; Estimation; Integral equations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2014 Winter
  • Conference_Location
    Savanah, GA
  • Print_ISBN
    978-1-4799-7484-9
  • Type

    conf

  • DOI
    10.1109/WSC.2014.7019914
  • Filename
    7019914