01117nam--2200397---450-99000126315020331620031117165826.00-8039-7089-7000126315USA01000126315(ALEPH)000126315USA0100012631520031117d1996----km-y0itay0103----baengUSa|||||||001yyOrganizational learningMicheal D. Cohen, Lee S. Sproull, editorsThousand Oaks [Calif.]Sagecopyr. 1996XV, 611 p.ill.26 cm.Organization science2001Organization science2001001-------2001AziendeGestione302.35COHEN,Michael D.SPROULL,Lee S.ITsalbcISBD990001263150203316302.35 ORG9319 Ing.ORGBKTECSIAV41020031117USA011658PATRY9020040406USA011730Organizational learning330958UNISA02214nam0 22004693i 450 VAN0029974620260109024609.239N978364258360520251022d1999 |0itac50 baengDE|||| |||||i e bcrComputational Molecular Dynamics: Challenges, Methods, IdeasProceeding of the 2. International Symposium on Algorithms for Macromolecular Modelling, Berlin, May 21–24, 1997Peter Deuflhard ... [et al.] (Eds.)BerlinHeidelbergSpringer1999xi, 494 p.ill.24 cm001VAN000271292001 Lecture notes in computational science and engineering210 Berlin [etc.]Springer1997-400B25Proceedings of conferences of miscellaneous specific interest [MSC 2020]VANC020732MF65-XXNumerical analysis [MSC 2020]VANC019772MF68-XXComputer science [MSC 2020]VANC019670MF81-XXQuantum theory [MSC 2020]VANC019967MF82-XXStatistical mechanics, structure of matter [MSC 2020]VANC021931MF92-XXBiology and other natural sciences [MSC 2020]VANC020839MFAlgorithmsKW:KApproximationsKW:KPotentialsKW:KRadiology Information SystemsKW:KStatisticsKW:KBerlinVANL000066DEHeidelbergVANL000282DeuflhardPeterVANV037762340Springer <editore>VANV108073650ITSOL20260116RICAhttps://doi.org/10.1007/978-3-642-58360-5E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00299746BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-Book 12972 08eMF12972 20251104 Computational Molecular Dynamics: Challenges, Methods, Ideas4447814UNICAMPANIA