01818nam2 22003973i 450 SUN008909020151203112814.86588-04-30666-120120521d1989 |0itac50 baitaGRCIT|||| |||||2: L'EgittoErodotointroduzione, testo e commento a cura di Alan B. Lloydtraduzione di Augusto Fraschetti2. ed[Milano]Fondazione Lorenzo VallaMondadori1989LXXVIII, 408 p.ill.21 cm. - Testo originale a fronte.001SUN00098842001 *Scrittori greci e latini210 [Roma]Fondazione Lorenzo Valla ; MilanoMondadori.001SUN00721972001 Le *storieErodoto2210 [Roma]Fondazione Lorenzo Valla ; [Milano]Mondadori ; [poi] [Milano]Fondazione Lorenzo VallaMondadori215 volumi20 cm.Storia anticaFISUNC006776MilanoSUNL000284HerodotusSUNV010165162857Fraschetti, AugustoSUNV008853730Lloyd, Alan B.SUNV072898MondadoriSUNV000115650ErodotoHerodotusSUNV074652HérodotHerodotusSUNV074653Erodoto di AlicarnassoHerodotusSUNV074654HerodotoHerodotusSUNV074655Erodoto : d'AlicarnassoHerodotusSUNV092729Herodotus, HalicarnassensisHerodotusSUNV092730Herodotus, HaliHerodotusSUNV092731ITSOL20190318RICASUN0089090UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI GIURISPRUDENZA00CONS XVIII.I.36 (2) 00 3277 20120521 Egitto1434145UNICAMPANIA00910nam0 22002651i 450 VAN002273520050405120000.020040906d1982 |0itac50 baitaIT|||| |||||La psicologia del tempoPaola RealeTorinoBoringhieri1982265 p.21 cm.TempoPercezioneVANC010690FITorinoVANL00000115321RealePaolaVANV01894835634Boringhieri <editore>VANV108699650ITSOL20230512RICABIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIAIT-CE0119VAN16VAN0022735BIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIA16CONS 1453 16VS 1343 20040906 Psicologia del tempo46720UNICAMPANIA04560nam 22006375 450 991049525220332120251113175147.03-030-74486-810.1007/978-3-030-74486-1(CKB)4100000011982428(MiAaPQ)EBC6679307(Au-PeEL)EBL6679307(PPN)258305231(OCoLC)1261306277(DE-He213)978-3-030-74486-1(EXLCZ)99410000001198242820210716d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierSystems, Patterns and Data Engineering with Geometric Calculi /edited by Sebastià Xambó-Descamps1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (186 pages)ICIAM 2019 SEMA SIMAI Springer Series,2662-7191 ;133-030-74485-X 1 I. Zaplana, New Perspectives on Robotics with Geometric Calculus -- 2 C. Lavor and R. Alves, Recent advances on oriented conformal geometric algebra applied to molecular distance geometry -- 3 S. Franchini and S. Vitabile, Geometric Calculus Applications to Medical Imaging: Status and Perspectives -- 4 L. Dorst, Optimal Combination of Orientation Measurements Under Angle, Axis and Chord Metrics -- 5 P. Colapinto, Space-Bending Lattices through Conformal Transformation of Principal Contact Elements -- 6 L. A. F. Fernandes, Exploring Lazy Evaluation and Compile-Time Simplifications for Efficient Geometric Algebra Computations -- 7 E. U. Moya-Sánchez et al., A Quaternion Deterministic Monogenic CNN Layer for Contrast Invariance -- 8 S. Xambó-Descamps et al., Geometric Calculi and Automatic Learning: An Overview.The intention of this collection agrees with the purposes of the homonymous mini-symposium (MS) at ICIAM-2019, which were to overview the essentials of geometric calculus (GC) formalism, to report on state-of-the-art applications showcasing its advantages and to explore the bearing of GC in novel approaches to deep learning. The first three contributions, which correspond to lectures at the MS, offer perspectives on recent advances in the application GC in the areas of robotics, molecular geometry, and medical imaging. The next three, especially invited, hone the expressiveness of GC in orientation measurements under different metrics, the treatment of contact elements, and the investigation of efficient computational methodologies. The last two, which also correspond to lectures at the MS, deal with two aspects of deep learning: a presentation of a concrete quaternionic convolutional neural network layer for image classification that features contrast invariance and a general overview of automatic learning aimed at steering the development of neural networks whose units process elements of a suitable algebra, such as a geometric algebra. The book fits, broadly speaking, within the realm of mathematical engineering, and consequently, it is intended for a wide spectrum of research profiles. In particular, it should bring inspiration and guidance to those looking for materials and problems that bridge GC with applications of great current interest, including the auspicious field of GC-based deep neural networks.ICIAM 2019 SEMA SIMAI Springer Series,2662-7191 ;13MathematicsComputer scienceMathematicsStatisticsChemometricsApplications of MathematicsMathematical Applications in Computer ScienceStatistics in Engineering, Physics, Computer Science, Chemistry and Earth SciencesMathematical Applications in ChemistryMathematics.Computer scienceMathematics.Statistics.Chemometrics.Applications of Mathematics.Mathematical Applications in Computer Science.Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Mathematical Applications in Chemistry.620.00151Xambó-Descamps S(Sebastián),1945-MiAaPQMiAaPQMiAaPQBOOK9910495252203321Systems, patterns and data engineering with geometric calculi2820456UNINA