02038nam0 22004693i 450 VAN0029504420250915015758.393N978147575585520250617d1995 |0itac50 baengUS|||| |||||i e bcrIntroduction to Hyperbolic GeometryArlan Ramsay, Robert D. RichtmyerNew YorkSpringer1995xii, 287 p.ill.24 cm001VAN000245062001 Universitext210 Berlin [etc]Springer1930-51-XXGeometry [MSC 2020]VANC019810MF51F05Absolute planes in metric geometry [MSC 2020]VANC023731MF51M09Elementary problems in hyperbolic and elliptic geometries [MSC 2020]VANC023704MF51M10Hyperbolic and elliptic geometries (general) and generalizations [MSC 2020]VANC020835MFDerivationsKW:KDifferential equationsKW:KDifferential geometryKW:KHyperbolic geometryKW:KSurfacesKW:KUSNew YorkVANL000011RamsayArlan B.VANV1508281828346RichtmyerRobert D.VANV0304471712Springer <editore>VANV108073650Richtmyer, Robert DavisRichtmyer, Robert D.VANV061313Richtmyer, R. D.Richtmyer, Robert D.VANV061314ITSOL20250919RICAhttps://doi.org/10.1007/978-1-4757-5585-5E-book – Accesso al full-text attraverso riconoscimento IP di Ateneo, proxy e/o ShibbolethBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08NVAN00295044BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08DLOAD e-Book 11937 08eMF11937 20250728 Introduction to Hyperbolic Geometry4396695UNICAMPANIA02291nam 2200349z- 450 991056919750332120251017110057.0(CKB)5400000000050625(oapen)https://directory.doabooks.org/handle/20.500.12854/81833(oapen)doab81833(DNLM)1760378(EXLCZ)99540000000005062520202205d2019 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierComputational BiologyAustraliaExon Publications20191 online resource (194 p.)0-9944381-9-2 Our understanding of biology has undergone a revolution in the past 20 years, driven by our ability to capture, store, interrogate and analyze the ever-increasing volumes of 'omics' data. Computational Biology, an integrated approach employing high performance computers, state-of-the art software and algorithms, mathematical modeling and statistical analyses have enabled us to unravel the seemingly impenetrable complexity of biological systems. This book draws together many of the latest cutting-edge developments in the field of Computational Biology. Each chapter draws on the expertise of leading researchers in the field to highlight the utility of specific technologies. The breadth of the text is impressive - from integrative biology in human diseases through the various branches of epigenomics, metabolomics and proteomics to biological sequencing and deep learning. Computational biology approaches for image-based analysis of multicellular spheroids, feature selection using entropy and cellular cryo-electron tomography structural pattern mining are covered. In addition, the key role of statistics in the analysis of high-dimensional multiset omics data and RNA sequencing are discussed in dedicated chapters. This book would have broad appeal to anyone with an interest in cutting edge computational biology.MBFbicsscComputational BiologyMBFHusi Holgeredt1288375Husi HolgerothBOOK9910569197503321Computational Biology3020784UNINA