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Libri sul tema "Geometric quantile"

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Autore: Grafiati

Pubblicato: 1 giugno 2024

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1

Rosenberg, Alex. Noncommutative algebraic geometry and representations of quantized algebras. Dordrecht: Kluwer Academic Publishers, 1995.

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2

Colloque geometrie et physique (1986 Paris, France). Physique quantique et géométrie: Formulation mathématique cohérente des phénoménes quantiques : Colloque Géométrie et Physique de 1986 en l'honneur d'André Lichnerowicz. Paris: Hermann, 1988.

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3

Gauge field theory and complex geometry. Berlin: Springer-Verlag, 1988.

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4

I, Manin I͡U. Gauge field theory and complex geometry. 2^a ed. Berlin: Springer, 1997.

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5

Unknown Quantity: A Real and Imaginary History of Algebra. Washington, DC, USA: Joseph Henry Press, 2006.

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6

Derbyshire, John. Unknown quantity: A real and imaginary history of algebra. Washington, DC: Joseph Henry Press, 2006.

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7

Inc, ebrary, a cura di. Geometry of time-spaces: Non-commutative algebraic geometry, applied to quantum theory. Singapore: World Scientific, 2011.

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8

Neher, Erhard. Geometric representation theory and extended affine Lie algebras. Providence, R.I: American Mathematical Society, 2011.

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9

Geometric representation theory and extended affine Lie algebras. Providence, R.I: American Mathematical Society, 2011.

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10

E, Witten, a cura di. Lecture notes on Chern-Simons-Witten theory. Singapore: World Scientific, 2001.

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11

1931-, Doebner H. D., Hennig J. D e Palev T. D, a cura di. Lectures on supermanifolds, geometrical methods & conformal groups given at Varna, Bulgaria. Singapore: World Scientific, 1989.

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12

Misra, Kailash C., Milen Yakimov, Pramod N. Achar e Dijana Jakelic. Recent advances in representation theory, quantum groups, algebraic geometry, and related topics: AMS special sessions on geometric and algebraic aspects of representation theory and quantum groups, and noncommutative algebraic geometry, October 13-14, 2012, Tulane University, New Orleans, Louisiana. Providence, Rhode Island: American Mathematical Society, 2014.

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13

Unknown Quantity. Atlantic Books, 2007.

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14

Geometric And Algebraic Topological Methods In Quantum Mechanics. World Scientific Publishing Company, 2005.

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15

Rosenberg, A. Noncommutative Algebraic Geometry and Representations of Quantized Algebras. Springer, 2013.

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16

Rosenberg, A. Noncommutative Algebraic Geometry and Representations of Quantized Algebras. Springer London, Limited, 2010.

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17

Derbyshire, John. Unknown Quantity: A Real and Imaginary History of Algebra. National Academies Press, 2006.

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18

Derbyshire, John. Unknown Quantity: A Real and Imaginary History of Algebra. National Academies Press, 2006.

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19

Derbyshire, John. Unknown Quantity: A Real and Imaginary History of Algebra. National Academies Press, 2006.

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20

Unknown Quantity: A Real and Imaginary History of Algebra. Atlantic Books, 2008.

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21

Derbyshire, John. Unknown Quantity: A Real and Imaginary History of Algebra. Plume, 2007.

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22

Lin, Ming-Fa, Chiun-Yan Lin, Ngoc Thanh Thuy Tran e Shih-Yang Lin. Geometric and Electronic Properties of Graphene-Related Systems: Chemical Bonding Schemes. Taylor & Francis Group, 2017.

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23

Geometric and Electronic Properties of Graphene-Related Systems: Chemical Bonding Schemes. Taylor & Francis Group, 2017.

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24

Lin, Ming-Fa, Chiun-Yan Lin, Ngoc Thanh Thuy Tran e Shih-Yang Lin. Geometric and Electronic Properties of Graphene-Related Systems: Chemical Bonding Schemes. Taylor & Francis Group, 2017.

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25

Hildenbrand, Dietmar. Power of Geometric Algebra Computing for Engineering and Quantum Computing. Taylor & Francis Group, 2021.

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26

Hildenbrand, Dietmar. Power of Geometric Algebra Computing for Engineering and Quantum Computing. CRC Press LLC, 2021.

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27

The Power of Geometric Algebra Computing for Engineering and Quantum Computing. Chapman and Hall/CRC, 2021.

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28

Tiwari, Sandip. Nanoscale transistors. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198759874.003.0002.

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This chapter brings together the physical underpinnings of field-effect transistors operating in their nanoscale limits. It tackles the change in dominant behavior from scattering-limited long-channel transport to mesoscopic and few scattering events limits in quantized channels. It looks at electrostatics and a transistor’s controllability as dimensions are shrunk—the interplay of geometry and control—and then brings out the operational characteristics in “off”-state, e.g., the detailed nature of insulator’s implications or threshold voltage’s statistical variations grounded in short-range and long-range effects, and “on”-state, where quantization, quantized channels, ballistic transport and limited scattering are important. It also explores the physical behavior for zero bandgap and monoatomic layer materials by focusing on real-space and reciprocal-space funneling as one of the important dimensional change consequences through a discussion of parasitic resistances.

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29

(Editor), Yoshiaki Maeda, Peter Michor (Editor), Takushiro Ochiai (Editor) e Akira Yoshioka (Editor), a cura di. From Geometry to Quantum Mechanics: In Honor of Hideki Omori (Progress in Mathematics). Birkhäuser Boston, 2006.

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30

Yoshioka, Akira, Yoshiaki Maeda, Takushiro Ochiai e Peter Michor. From Geometry to Quantum Mechanics: In Honor of Hideki Omori. Springer London, Limited, 2007.

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31

Aspden, Richard, e Jenny Gregory. Morphology. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0011.

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The study of joint morphology can help us to understand the risk factors for osteoarthritis (OA), how it progresses, and aids in developing imaging biomarkers for study of the disease. OA results in gross structural changes in affected joints. Growth of osteophytes, deformation of joint components, and loss of joint space where cartilage has broken down are all characteristics of the disorder. Certain bone shapes as well as malalignment predispose people to future OA, or may be a marker for early OA. Geometrical measures, such as the alpha angle or Wiberg’s CE angle, used to be the primary tool for investigating morphology. In recent years, however, statistical shape modelling (SSM) has become increasingly popular. SSM can be used with any imaging modality and has been successfully applied to a number of musculoskeletal conditions. It uses sets of landmark points denoting the anatomy of one or more bones to generate new variables (modes) that describe and quantify the shape variation in a set of images via principal components analysis. With the aid of automated search algorithms for point placement, the use of SSMs is expanding and provides a valuable and versatile tool for exploration of bone and joint morphometry. Whilst the majority of research has focused on hip and knee OA, this chapter provides an overview of joint morphology through the whole skeleton and how it has helped our ability to understand and quantify the risk and progression of osteoarthritis.

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32

Path Integrals, Hyperbolic Spaces and Selberg Trace Formulae. World Scientific Publishing Co Pte Ltd, 2013.

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33

(Editor), T. D. Palev, a cura di. Lectures on Supermanifolds, Geometrical Methods and Conformal Groups Given at Varna, Bulgaria. World Scientific Pub Co Inc, 1989.

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34

Perverse Sheaves and Applications to Representation Theory. American Mathematical Society, 2021.

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