The uncertainty in scientific computing has induced serious accidents and disasters.New proposals are presented toward an uncertainty inference or management in scientific computing.The first important point is to share the knowledge on uncertainty with other researchers.Sharing known uncertainties contributes to the uncertainty management.In addition, for specific problems, one can prepare multiple programs with different rounding methods and / or with different precisions, and can compare the results among the programs generated for the specific problems.If differences appear among the results, it suggests that the specific program may have some uncertainty problems.This second method is not perfect but provides a simple and effective inference method of the uncertainty.Uncertainty comes from various sources from physical and mathematical model errors, unknown input data, numerical model errors, insufficient numerical precision, floating point precision, programming errors, data processing errors, visualization errors, etc., as well as human errors.
Dept.of Adv.Interdisciplinary Sciences, Utsunomiya Univ., Utsunomiya 321-8585, Japan;School of Compu Tamagawa University, Machida 194-8610, Japan Tsuyama National College of Technology, Tsuyama 708-8509, Japan Yonago National College of Technology, Yonago 683-8502, Japan Dept.of Adv.Interdisciplinary Sciences, Utsunomiya Univ., Utsunomiya 321-8585, Japan School of Computer Eng.and Science, Shanghai University, Shanghai 200072, China Numazu National College of Technology, Numazu 410-8501, Japan Toyama National College of Technology, Toyama 939-0293, Japan