LEADER 00852nam a22002414i 4500 001 991001017379707536 008 010417s2001 it b 001 0 ita 020 $a8842495425 035 $ab12705238-39ule_inst 040 $cDip.to Studi Storici$cita 082 00$a909.08$221 100 1 $aPlacanica, Augusto$032646 245 12$aL'etá moderna :$balle radici del presente : persistenze e mutamenti /$cAugusto Placanica. 260 $aMilano :$bB. Mondadori,$cc2001 300 $a338 p. ;$c21 cm 490 1 $aSintesi 650 0$aStoria Moderna 907 $a.b12705238$b02-04-14$c25-03-04 912 $a991001017379707536 945 $aLE023 909.08 PLA 1 1$g1$i2023000064399$lle023$o-$pE22.00$q-$rl$s- $t0$u5$v0$w5$x0$y.i13224931$z25-03-04 996 $aEtá moderna$9269386 997 $aUNISALENTO 998 $ale023$b25-03-04$cm$da $e-$fita$git $h2$i1 LEADER 02848nam 2200601 a 450 001 9910966711403321 005 20200520144314.0 010 $a1-04-020571-2 010 $a0-429-13654-4 010 $a1-58488-735-4 024 7 $a10.1201/b15334 035 $a(CKB)2670000000394923 035 $a(EBL)1335849 035 $a(SSID)ssj0000949880 035 $a(PQKBManifestationID)11541320 035 $a(PQKBTitleCode)TC0000949880 035 $a(PQKBWorkID)11003623 035 $a(PQKB)11070742 035 $a(OCoLC)857059565 035 $a(MiAaPQ)EBC1335849 035 $a(OCoLC)855504713 035 $a(PPN)230992668 035 $a(EXLCZ)992670000000394923 100 $a20130816d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aComputational methods for data evaluation and assimilation /$fDan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor 205 $a1st ed. 210 $aBoca Raton $cCRC Press$d2014 215 $a1 online resource (372 p.) 300 $a"A Chapman & Hall book." 311 08$a1-58488-736-2 320 $aIncludes bibliographical references. 327 $aFront Cover; Contributors; Preface; List of Figures; List of Tables; Contents; Introduction; Chapter 1 - Experimental Data Evaluation: Basic Concepts; Chapter 2 - Computation of Means and Variances from Measurements; Chapter 3 - Optimization Methods For Large-Scale Data Assimilation; Chapter 4 - Basic Principles of 4-D VAR; Chapter 5 - 4-D VAR in Numerical Weather Prediction Models; Chapter 6 - Appendix A; Chapter 7 - Appendix B; Chapter 8 - Appendix C; Bibliography; Back Cover 330 $aData evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdisciplinary methods for integrating experimental and computational information. This self-contained book shows how the methods can be applied in many scientific and engineering areas. After presenting the fundamentals underlying the evaluation of experiment 606 $aMathematical analysis$xData processing 615 0$aMathematical analysis$xData processing. 676 $a518.0285 676 $a519.538 686 $aMAT003000$2bisacsh 700 $aCacuci$b D. G$0897247 701 $aNavon$b Ionel Michael$01829096 701 $aIonescu-Bujor$b Mihaela$01829097 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910966711403321 996 $aComputational methods for data evaluation and assimilation$94398257 997 $aUNINA