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1

Rouben, B. Description of the lattice code POWDERPUFS-V. Mississauga, Ont: AECL, 1995.

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2

Oggier, Frédérique. Algebraic number theory and code design for Rayleigh fading channels. Hanover, MA: Now, 2004.

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3

Ebeling, Wolfgang. Lattices and Codes. Wiesbaden: Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00360-9.

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4

Ebeling, Wolfgang. Lattices and Codes. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-96879-1.

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5

Ebeling, Wolfgang. Lattices and Codes. Wiesbaden: Vieweg+Teubner Verlag, 2002. http://dx.doi.org/10.1007/978-3-322-90014-2.

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6

Friedrich, Hirzebruch, ed. Lattices and codes: A course partially based on lectures by F. Hirzebruch. Braunschweig/Wiesbaden: Vieweg, 1994.

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7

Friedrich, Hirzebruch, ed. Lattices and codes: A course partially based on lectures by F. Hirzebruch. 2nd ed. Braunschweig/Wiesbaden: Vieweg, 2002.

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8

Constellation shaping, nonlinear precoding, and trellis coding for voiceband telephone channel modems with emphasis on ITU-T recommendation V.34. Boston: Kluwer Academic Publishers, 2002.

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9

Bianca come il latte, rossa come il sangue: Romanzo. Milano: Mondadori, 2011.

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10

Mohamad, A. A. Lattice Boltzmann method: Fundamentals and engineering applications with computer codes / A. A. Mohamad. London: Springer, 2011.

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11

service), SpringerLink (Online, ed. Lattices and Codes: A Course Partially Based on Lectures by Friedrich Hirzebruch. 3rd ed. Wiesbaden: Springer Fachmedien Wiesbaden, 2013.

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12

Ebeling, Wolfgang. Lattices and Codes: A Course Partially Based on Lectures by F. Hirzebruch. 2nd ed. Wiesbaden: Vieweg+Teubner Verlag, 2002.

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13

Lin, Shu. Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes. Boston, MA: Springer US, 1998.

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14

Venturini, Anna. Non possiamo più aspettare Godot: Il latte e il sangue di Dario G. Martini come risposta a Beckett e al teatro di chi nega la speranza. Genova: Erga, 1997.

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15

Venturini, Anna. Non possiamo più aspettare Godot: Il latte e il sangue di Dario G. Martini come risposta a Beckett e al teatro di chi nega la speranza. Genova: Erga, 1997.

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16

Succi, Sauro. Coda. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0036.

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This section of the book revisits a question from the book The Lattice Boltzmann Equation (for fluid dynamics and beyond). This question is: What did we learn through lattice Boltzmann? Did LB make a real difference to our understanding of the physics of fluids and flowing matter in general? Here, the text aims to offer a subjective view, without the presumption of being right. Besides being routinely used for a broad spectrum of complex flow problems, there are, in the opinion expressed in this part of the book, a few precious instances in which LB has made a palpable difference.
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17

Allen, Michael P., and Dominic J. Tildesley. Mesoscale methods. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803195.003.0012.

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Coarse-graining is an increasingly commonplace approach to study, as economically as possible, large-scale, and long-time phenomena. This chapter covers the main methods. Brownian and Langevin dynamics are introduced, with practical details of the solution of the modified equations of motion. Several techniques which aim to bridge the gap to the hydrodynamic regime are described: these include dissipative particle dynamics, multiparticle collision dynamics, and the lattice Boltzmann method. Several examples of program code are provided. In the last part of the chapter, the derivation of a coarse-grained potential from an atomistic one is considered using force-matching and structure-matching, and the limitations of these approaches are discussed.
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18

Lattices and Codes (Advanced Lectures in Mathematics). Friedrich Vieweg & Sohn Verlag, 2002.

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19

Succi, Sauro. Lattice Boltzmann for Turbulence Modeling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0024.

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This chapter introduces the main ideas behind the application of LBE methods to the problem of turbulence modeling, namely the simulation of flows which contain scales of motion too small to be resolved on present-day and foreseeable future computers. Many real-life flows of practical interest exhibit Reynolds numbers far too high to be directly simulated in full resolution on present-day computers and arguably for many years to come. This raises the challenge of predicting the behavior of highly turbulent flows without directly simulating all scales of motion which take part to turbulence dynamics, but only those that fall within the computer resolution at hand.
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20

Ebeling, Wolfgang. Lattices and codes: A course partially based on lectures by F.Hirzebruch. 2nd ed. WiesbadenbVieweg und Sohn, 2002.

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21

Mohamad, A. A. Lattice Boltzmann Method: Fundamentals and Engineering Applications with Computer Codes. Springer, 2011.

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22

Mohamad, A. A. Lattice Boltzmann Method: Fundamentals and Engineering Applications with Computer Codes. Springer, 2019.

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23

Succi, Sauro. Kinetic Theory of Dense Fluids. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199592357.003.0007.

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This chapter presents the basic elements of the kinetic theory of non-ideal fluids, to which both kinetic and potential energy contribute on comparable footing. Non-ideal fluids lie at the heart of many complex fluid-dynamic applications, such as those involving multiphase and multicomponent flows. This chapter features a degree of abstraction which may not come by handy to the reader with limited interest to the formal theory of classical many-body systems. The interested readers can safely skip the math and retain the basic bottomline. They may just skip this chapter altogether, but in this author’s opinion, this is likely to come with a toll on the full appreciation of Lattice Boltzmann theory for non-ideal fluids, in fact one of the most successful offsprings of Lattice Boltzmann theory.
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24

1937-, Lin Shu, ed. Trellises and trellis-based decoding algorithms for linear block codes. Boston: Kluwer Academic, 1998.

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