01570nam0 22003853i 450 VAN0025470520240806101441.366N978354036092620230215d1969 |0itac50 baengDE|||| |||||ˆAn ‰Introduction to the Theory of Algebraic SurfacesOscar ZariskiBerlinSpringer1969100 p.24 cm001VAN001022502001 Lecture notes in mathematics210 Berlin [etc.]Springer8300-XXGeneral and overarching topics; collections [MSC 2020]VANC025238MF14-XXAlgebraic geometry [MSC 2020]VANC019702MFAlgebraKW:KArithmeticKW:KFunctionsKW:KProofsKW:KSurfacesKW:KTheoremKW:KBerlinVANL000066ZariskiOscar1899-1986VANV02197542025Springer <editore>VANV108073650ITSOL20250606RICAhttps://doi.org/10.1007/BFb0082246E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00254705BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-book 5405 08eMF5405 20230301 Introduction to the theory of algebraic surfaces83151UNICAMPANIA01630nam 22004573 450 991102598890332120250911080350.03-032-03042-0(CKB)40899135200041(MiAaPQ)EBC32290942(Au-PeEL)EBL32290942(OCoLC)1544988245(EXLCZ)994089913520004120250911d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierSupervised and Unsupervised Statistical Data Analysis1st ed.Cham :Springer,2025.©2025.1 online resource (590 pages)Studies in Classification, Data Analysis, and Knowledge Organization Series3-032-03041-2 The contributions in this book offer new insights into the theoretical and practical challenges of supervised and unsupervised learning, highlighting the remarkable breadth of contemporary statistical research while maintaining methodological rigor.Studies in Classification, Data Analysis, and Knowledge Organization Series001.422D'Ambrosio Antonio38551de Rooij Mark1847953De Roover Kim1847954Iorio Carmela1847955La Rocca Michele116893MiAaPQMiAaPQMiAaPQBOOK9911025988903321Supervised and Unsupervised Statistical Data Analysis4434111UNINA