LEADER 02032nam  2200373   450 
001 9910688476503321
005 20230624052647.0
035   $a(CKB)5400000000043958
035   $a(NjHacI)995400000000043958
035   $a(EXLCZ)995400000000043958
100   $a20230624d2021      uy             0
101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aRecent Advances in Numerical Simulations /$fedited by Francisco Bulnes, Jan Peter Hessling
210  1$aLondon :$cIntechOpen,$d2021.
215   $a1 online resource (290 pages)
311   $a1-83969-315-0 
330   $aA 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.
606   $aScience$xMathematical models
606   $aMathematical models
615  0$aScience$xMathematical models.
615  0$aMathematical models.
676   $a501.5118
702   $aHessling$b Jan Peter
702   $aBulnes$b Francisco
801  0$bNjHacI
801  1$bNjHacl
906   $aBOOK
912   $a9910688476503321
996   $aRecent Advances in Numerical Simulations$92822323
997   $aUNINA