01338nam a2200301 i 450099100325480970753620020503185526.0000704s1960 it ||| | ita b10479934-39ule_instEXGIL117778ExLBiblioteca Interfacoltàita686.302De Marinis, Tammaro206922La legatura artistica in Italia nei secoli 15. e 16. :notizie ed elenchi /Tammaro De MarinisFirenze :F.lli Alinari-Istituto di edizioni artistiche,19603 v., 436 tav. :ill. ;35 cm.Legature italianeSec. 15.-16..b1047993402-04-1427-06-02991003254809707536LE002 686.302 DEMLE002 Bibl. V L 9/00112002000458575le002V. 1-E0.00-l- 00000.i1055400227-06-02LE002 686.302 DEMLE002 Bibl. V L 9/00212002000458568le002V. 2-E0.00-l- 00000.i1055401427-06-02LE002 686.302 DEMLE002 Bibl. V L 9/00312002000458551le002V. 3-E0.00-l- 00000.i1055402627-06-02Legatura artistica in Italia nei secoli 15. e 16.213678UNISALENTOle00201-01-00ma -itait 3302106oam 2200589I 450 991069553860332120161108100502.0(CKB)5470000002371386(OCoLC)83764986(OCoLC)839754568(EXLCZ)99547000000237138620070215j200011 ua 0engtxtrdacontentcrdamediacrrdacarrierBOREAS TGB-5 dissolved organic carbon data from NSA beaver ponds /Rick BourbonniereGreenbelt, Maryland :National Aeronautics and Space Administration, Goddard Space Flight Center,November 2000.1 online resource (16 pages)Technical report series on the Boreal Ecosystem-Atmosphere Study (BOREAS) ;volume 228NASA/TM ;2000-209891, vol. 228"November 2000.""Performing organization: Goddard Space Flight Center" Report documentation page.Includes bibliographical references (pages 13-14).Boreal ecosystem atmosphere study trace gas biogeochemistry 5 dissolved organic carbon data from Northern Study Area beaver pondsAtmospheric compositionnasatBiogeochemistrynasatCarbonnasatChemical analysisnasatDissolved organic matternasatEcosystemsnasatPondsnasatTrace contaminantsnasatAtmospheric composition.Biogeochemistry.Carbon.Chemical analysis.Dissolved organic matter.Ecosystems.Ponds.Trace contaminants.Bourbonniere Rick1387074Goddard Space Flight Center,GPOGPOOCLCQOCLCOOCLCQGPOBOOK9910695538603321BOREAS TGB-5 dissolved organic carbon data from NSA beaver ponds3436555UNINA01436nam0 22003373i 450 VAN027614120240521123229.125N978365837616120240521d2022 |0itac50 baengDE|||| |||||Reinforcement Learning with Hybrid Quantum Approximation in the NISQ ContextLeonhard KunczikWiesbadenSpringer Vieweg2022xviii, 134 p.ill.24 cmAttacker-Defender ScenariosKW:KQuanten ComputingKW:KQuantum Reinforcement LearningKW:KQuantum machine learningKW:KReinforcement LearningKW:KDEWiesbadenVANL000457KunczikLeonhardVANV2288381239763Springer <editore>VANV108073650ITSOL20240614RICAhttps://doi.org/10.1007/978-3-658-37616-1E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN0276141BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08CONS e-Book 8569 08eMF8569 20240604 Reinforcement Learning with Hybrid Quantum Approximation in the NISQ Context2876327UNICAMPANIA