Empirical sensitivity analysis for computational procedures

Author

Liebrock, Lorie M.

Author_Institution

Dept. of Comput. Sci., New Mexico Inst. of Min. & Technol., Socorro, NM, USA

fYear

2005

fDate

19-22 Oct. 2005

Firstpage

32

Lastpage

35

Abstract

Sensitivity analysis in computer science aims to improve stability in computer applications by considering uncertainty due to small perturbations in parameters. Mathematical and computational methods of sensitivity analysis are discussed. Advantages and disadvantages of both methods are addressed. A tool is developed to compute computational sensitivities. This tool was validated using three simple, well understood problems. The tool was then applied to a dynamic power grid system and an agent-based criminal computation. In the case of the power grid system, computational sensitivity analysis agrees with mathematical analysis in reporting stability and no excessive sensitivity. In the case of the criminal computation, the code is found to be unstable.

Keywords

mathematical analysis; program diagnostics; sensitivity analysis; computational method; computational sensitivity analysis; computational sensitivity tool; criminal computation; mathematical method; power grid system; stability analysis; Computer applications; Computer science; Grid computing; Mathematical analysis; Power grids; Power system dynamics; Power system stability; Sensitivity analysis; Stability analysis; Uncertainty; Experimentation; Measurement; Stability analysis; computational sensitivity analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Diversity in Computing Conference, 2005 Richard Tapia Celebration of

Print_ISBN

1-59593-257-7

Type

conf

DOI

10.1109/RTCDC.2005.201640

Filename

1570872