02032nam 2200373 450 991068847650332120230624052647.0(CKB)5400000000043958(NjHacI)995400000000043958(EXLCZ)99540000000004395820230624d2021 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierRecent Advances in Numerical Simulations /edited by Francisco Bulnes, Jan Peter HesslingLondon :IntechOpen,2021.1 online resource (290 pages)1-83969-315-0 A numerical simulation is a computing calculation following a program that develops a mathematical model for a physical, social, economic, or biological system. Numerical simulations are required for analyzing and studying the behavior of systems whose mathematical models are very complex, as in the case of nonlinear systems. Capturing the resulting uncertainty of models based on uncertain parameters and constraints in confidence intervals (1-D), or more generally (>1-D) confidence regions, is very common for expressing to which degree the computed result is believed to be consistent with possible values of the targeted observable. This book examines the different methods used in numerical simulations, including adaptive and stochastic methods as well as finite element analysis research. This work is accompanied by studies of confidence regions, often utilized to express the credibility of such calculations and simulations.ScienceMathematical modelsMathematical modelsScienceMathematical models.Mathematical models.501.5118Hessling Jan PeterBulnes FranciscoNjHacINjHaclBOOK9910688476503321Recent Advances in Numerical Simulations2822323UNINA