LEADER 01973nam0 22004213i 450 001 VAN0214496 005 20230606100716.456 017 70$2N$a9783030351847 100 $a20210921d2019 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 200 1 $aApplied Holography$ea Practical Mini-Course$fMatteo Baggioli 210 $aCham$cSpringer$d2019 215 $axiv, 117 p.$cill.$d24 cm 410 1$1001VAN0132717$12001 $aSpringerBriefs in Physics$1210 $aBerlin [etc.]$cSpringer 500 1$3VAN0214497$aApplied Holography : a Practical Mini-Course$92598101 606 $a81T30$xString and superstring theories; other extended objects (e.g., branes) in quantum field theory [MSC 2020]$3VANC021514$2MF 606 $a81Txx$xQuantum field theory; related classical field theories [MSC 2020]$3VANC027580$2MF 606 $a81T35$xCorrespondence, duality, holography (AdS/CFT, gauge/gravity, etc.) [MSC 2020]$3VANC036538$2MF 610 $aAdS/CMT$9KW:K 610 $aApplications of Holography$9KW:K 610 $aApplied Holography$9KW:K 610 $aBottom-Up Holography$9KW:K 610 $aGauge/gravity Duality$9KW:K 610 $aHolographic methods for condensed matter$9KW:K 610 $aHolographic transport$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aBaggioli$bMatteo$3VANV183857$01061077 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20240614$gRICA 856 4 $uhttp://doi.org/10.1007/978-3-030-35184-7$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN0214496 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08CONS e-book 3835 $e08eMF3835 20210921 996 $aApplied Holography : a Practical Mini-Course$92598101 997 $aUNICAMPANIA LEADER 02627nam0 2200433 i 450 001 VAN00113840 005 20260624023817.312 017 70$2N$a9783319238838 035 40$a1277373723 100 $a20180122d2015 |0itac50 ba 101 $aeng 102 $aCH 105 $a|||| ||||| 181 $ai$b e 182 $ab 183 $acr 200 1 $aˆA ‰user?s guide to network analysis in R$fDouglas A. Luke 210 $a[Cham]$cSpringer$d2015 215 $aXII, 238 p.$cill.$d24 cm 327 $aPresenting a comprehensive resource for the mastery of network analysis in R, the goal of Network Analysis with R is to introduce modern network analysis techniques in R to social, physical, and health scientists. The mathematical foundations of network analysis are emphasized in an accessible way and readers are guided through the basic steps of network studies: network conceptualization, data collection and management, network description, visualization, and building and testing statistical models of networks. As with all of the books in the Use R! series, each chapter contains extensive R code and detailed visualizations of datasets. Appendices will describe the R network packages and the datasets used in the book. An R package developed specifically for the book, available to readers on GitHub, contains relevant code and real-world network datasets as well. 410 1$1001VAN00102661$12001 $aUse R!$1210 $aBerlin [etc.]$cSpringer$d2006- 500 1$3VAN00234823$aˆA ‰user?s guide to network analysis in R$91522803 606 $a05C90$xApplications of graph theory [MSC 2020]$3VANC031097$2MF 606 $a92-XX$xBiology and other natural sciences [MSC 2020]$3VANC020839$2MF 606 $a92C42$xSystems biology, networks [MSC 2020]$3VANC029020$2MF 610 $aMathematical visualization$9KW:K 610 $aNetwork analysis$9KW:K 610 $aR software$9KW:K 620 $aCH$dCham$3VANL001889 700 1$aLuke$bDouglas A.$3VANV087932$0496080 712 $aSpringer $3VANV108073$4650 801 $aIT$bSOL$c20260626$gRICA 856 4 $uhttp://dx.doi.org/10.1007/978-3-319-23883-8$zE-book ? Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o Shibboleth 899 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$1IT-CE0120$2VAN08 912 $fN 912 $aVAN00113840 950 $aBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA$d08DLOAD e-book 0054 $e08eMF54 20180122 996 $aUser?s guide to network analysis in R$91522803 997 $aUNICAMPANIA