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
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