LEADER 01881nam2 22003373i 450 001 UBO0260071 005 20160311090612.0 100 $a20090119d1978 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $a˜2: œFondamenti istituzionali: dinamica del punto di massa variabile o relativistica, geometria delle masse, statica del punto e dei sistemi rigidi, statica dei sistemi articolati e dei fili, principio dei lavori virtuali ed equazioni generali della statica, teoremi generali sulla dinamica dei sistemi$fCataldo Agostinelli, Antonio Pignedoli 210 $aBologna$cZanichelli$d1978 215 $aX, 350 p.$d26 cm 300 $aBibliografia: P. [V]-VI. 461 1$1001LIA0115408$12001 $aMeccanica razionale$fCataldo Agostinelli, Antonio Pignedoli$v2 606 $aMeccanica razionale$2FIR$3NAPC003887$9I 606 $aDinamica$2FIR$3NAPC032127$9I 606 $aStatica$2FIR$3NAPC009095$9I 676 $a531$9MECCANICA CLASSICA. MECCANICA DEI SOLIDI$v14 676 $a531.1$9DINAMICA, STATICA, MASSA E GRAVITA', MECCANICA DELLE PARTICELLE$v22 700 1$aAgostinelli$b, Cataldo$3CFIV061856$4070$020 701 1$aPignedoli$b, Antonio$3CFIV022291$4070$040442 801 3$aIT$bIT-NA0079$c20090119 850 $aIT-BN0085 912 $aUBO0260071 950 2$aUniversità del Sannio - Dipartimento D.I.N.G$bv. 2$cv. 2$d 02SALA DING 531 AGO.me$e 02 0000000105 B A4(0002 v. 2$f3 $h19930209$i19930209 977 $a 02 996 $aFondamenti istituzionali: dinamica del punto di massa variabile o relativistica, geometria delle masse, statica del punto e dei sistemi rigidi, statica dei sistemi articolati e dei fili, principio dei lavori virtuali ed equazioni generali della statica, teoremi generali sulla dinamica dei sistemi$9103013 997 $aUNISANNIO LEADER 01783nam 2200385z- 450 001 9910346889703321 005 20210211 010 $a1000031133 035 $a(CKB)4920000000101625 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/53742 035 $a(oapen)doab53742 035 $a(EXLCZ)994920000000101625 100 $a20202102d2013 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aModelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models 210 $cKIT Scientific Publishing$d2013 215 $a1 online resource (XIV, 181 p. p.) 311 08$a3-86644-946-1 330 $aComplexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids. 606 $aTechnology: general issues$2bicssc 610 $acomplexity 610 $ademand side management 610 $aemergence 610 $amulti agent systems 610 $asmart grids 615 7$aTechnology: general issues 700 $aKremers$b Enrique Alberto$4auth$01311946 906 $aBOOK 912 $a9910346889703321 996 $aModelling and Simulation of Electrical Energy Systems through a Complex Systems Approach using Agent-Based Models$93030600 997 $aUNINA