LEADER 01891nam0 22003973i 450 001 VAN00119537 005 20240806100804.681 017 70$2N$a978-981-10-0733-0 100 $a20190121d2016 |0itac50 ba 101 $aeng 102 $aSG 105 $a|||| ||||| 200 1 $aComputational Statics and Dynamics$ean Introduction Based on the Finite Element Method$fAndreas Öchsner 210 $aSingapore$cSpringer$d2016 215 $axx, 485 p.$cill.$d24 cm 500 1$3VAN00233819$aComputational Statics and Dynamics : an Introduction Based on the Finite Element Method$92585133 606 $a74-XX$xMechanics of deformable solids [MSC 2020]$3VANC022466$2MF 606 $a74S05$xFinite element methods applied to problems in solid mechanics [MSC 2020]$3VANC029132$2MF 606 $a74Sxx$xNumerical and other methods in solid mechanics [MSC 2020]$3VANC035251$2MF 610 $aComputational mechanics$9KW:K 610 $aCourse Computational Mechanics$9KW:K 610 $aCourse Finite Element Method$9KW:K 610 $aNumerical Mechanical Simulation$9KW:K 610 $aPartial Differential Equations$9KW:K 610 $aWeighted Residual Method$9KW:K 620 $aSG$dSingapore$3VANL000061 700 1$aÖchsner$bAndreas$3VANV083469$0317948 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20250411$gRICA 856 4 $uhttp://doi.org/10.1007/978-981-10-0733-0$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$2VAN15 912 $fN 912 $aVAN00119537 950 $aBIBLIOTECA CENTRO DI SERVIZIO SBA$d15CONS SBA EBOOK 2913 $e15EB 2913 20190121 996 $aComputational Statics and Dynamics : an Introduction Based on the Finite Element Method$92585133 997 $aUNICAMPANIA LEADER 04165nam 22006975 450 001 9910254304803321 005 20250408112711.0 010 $a3-319-55789-0 024 7 $a10.1007/978-3-319-55789-2 035 $a(CKB)3710000001631050 035 $a(MiAaPQ)EBC4935681 035 $a(DE-He213)978-3-319-55789-2 035 $a(PPN)203850998 035 $a(EXLCZ)993710000001631050 100 $a20170802d2017 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aAdvances in Time Series Analysis and Forecasting $eSelected Contributions from ITISE 2016 /$fedited by Ignacio Rojas, Héctor Pomares, Olga Valenzuela 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (412 pages) 225 1 $aContributions to Statistics,$x2628-8966 311 08$a3-319-55788-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aPreface -- Part I: Analysis of Irregularly Sampled Time Series: Techniques, Algorithms and Case Studies -- Scientific Contributions -- Part II: Multi-scale Analysis of Univariate and Multivariate Time Series -- Scientific Contributions -- Part III: Linear and Non-linear Time Series Models -- Scientific Contributions -- Part IV: Advanced Time Series Forecasting Methods -- Scientific Contributions -- Part V: Applications in Time Series Analysis and Forecasting -- Scientific Contributions -- Author Index. 330 $aThis volume of selected and peer-reviewed contributions on the latest developments in time series analysis and forecasting updates the reader on topics such as analysis of irregularly sampled time series, multi-scale analysis of univariate and multivariate time series, linear and non-linear time series models, advanced time series forecasting methods, applications in time series analysis and forecasting, advanced methods and online learning in time series and high-dimensional and complex/big data time series. The contributions were originally presented at the International Work-Conference on Time Series, ITISE 2016, held in Granada, Spain, June 27-29, 2016. The series of ITISE conferences provides a forum for scientists, engineers, educators and students to discuss the latest ideas and implementations in the foundations, theory, models and applications in the field of time series analysis and forecasting.  It focuses on interdisciplinary and multidisciplinary rese arch encompassing the disciplines of computer science, mathematics, statistics and econometrics. 410 0$aContributions to Statistics,$x2628-8966 606 $aStatistics 606 $aEconometrics 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aProbabilities 606 $aStatistics in Business, Management, Economics, Finance, Insurance 606 $aEconometrics 606 $aProbability and Statistics in Computer Science 606 $aProbability Theory 606 $aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences 615 0$aStatistics. 615 0$aEconometrics. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aProbabilities. 615 14$aStatistics in Business, Management, Economics, Finance, Insurance. 615 24$aEconometrics. 615 24$aProbability and Statistics in Computer Science. 615 24$aProbability Theory. 615 24$aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. 676 $a519.55 702 $aRojas$b Ignacio$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPomares$b Héctor$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aValenzuela$b Olga$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254304803321 996 $aAdvances in time series analysis and forecasting$91560435 997 $aUNINA