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Książki na temat „Coded Computation”

Autor: Grafiati
Data publikacji: 6 września 2023

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1

Fujii, Keisuke. Quantum Computation with Topological Codes. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-996-7.

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2

Albuquerque, Clarice Dias de, Eduardo Brandani da Silva i Waldir Silva Soares. Quantum Codes for Topological Quantum Computation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06833-1.

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3

Block error-correcting codes: A computational primer. Berlin: Springer, 2003.

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4

Parthasarathy, K. R. Lectures on quantum computation, quantum error: Correcting codes and information theory. New Delhi: Published for the Tata Institute of Fundamental Research [by] Narosa Pub. House, 2006.

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5

Matters computational: Ideas, algorithms, source code. Heidelberg: Springer, 2011.

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6

Wigton, L. B. GMRES acceleration of computational fluid dynamics codes. New York: AIAA, 1985.

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7

XambØ-Descamps, S. Block error-correcting codes: A computational primer. Berlin: Springer, 2002.

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8

Justesen, Jorn. A course in error-correcting codes. Zurich: European Mathematical Society, 2004.

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9

Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. [Washington, DC: National Aeronautics and Space Administration, 1998.

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10

Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. [Washington, DC: National Aeronautics and Space Administration, 1998.

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11

Lin, Shu. Trellises and trellis-based decoding algorithms for linear block codes. [Washington, DC: National Aeronautics and Space Administration, 1998.

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12

Marc, Fossorier, i United States. National Aeronautics and Space Administration., red. Trellises and trellis-based decoding algorithms for linear block codes. [Washington, DC: National Aeronautics and Space Administration, 1998.

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13

Tonchev, Vladimir. Codes, Designs and Geometry. Boston, MA: Springer US, 1996.

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14

1940-, Wilson John W., i United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., red. BRYNTRN: A baryon transport computer code : computation procedures and data base. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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15

W, Wilson John. BRYNTRN: A baryon transport computer code: Computation procedures and data base. Hampton, Va: Langley Research Center, 1988.

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16

Vucetic, Branka. Turbo Codes: Principles and Applications. Boston, MA: Springer US, 2000.

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17

Kambiz, Salari, red. Verification of computer codes in computational science and engineering. Boca Raton, Fla: Chapman & Hall/CRC Press, 2003.

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18

Hogendoorn, R. A. Data compression in computational fluid dynamics. Amsterdam: National Aerospace Laboratory, 1986.

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19

United States. National Aeronautics and Space Administration., red. CNSFV code development, virtual zone Navier-Stokes computations of oscillating control surfaces and computational support of the laminar flow supersonic wind tunnel. San Jose, CA: MCAT Institute, 1993.

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20

Vardy, Alexander. Codes, Curves, and Signals: Common Threads in Communications. Boston, MA: Springer US, 1998.

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21

Marvin, Joseph G. Wind tunnel requirements for computational fluid dynamics code verification. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1987.

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22

Ethiraj, Venkatapathy, i Ames Research Center, red. The multidimensional self-adaptive grid code, SAGEv2. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1995.

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23

Ethiraj, Venkatapathy, i Ames Research Center, red. The multidimensional self-adaptive grid code, SAGEv2. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1995.

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24

Fainchtein, Rosalinda de. A user's guide to AMR1D: An instructional adaptive mesh refinement code for unstructured grids. Washington, D.C: Goddard Space Flight Center, 1996.

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25

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., red. A Three-dimensional Navier-Stokes/Euler code for blunt-body flow computations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Informkation Branch, 1985.

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26

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, red. A Three-dimensional Navier-Stokes/Euler code for blunt-body flow computations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Informkation Branch, 1985.

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27

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., red. A Three-dimensional Navier-Stokes/Euler code for blunt-body flow computations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Informkation Branch, 1985.

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28

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch, red. A Three-dimensional Navier-Stokes/Euler code for blunt-body flow computations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Informkation Branch, 1985.

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29

United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., red. A Three-dimensional Navier-Stokes/Euler code for blunt-body flow computations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Informkation Branch, 1985.

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30

Ethiraj, Venkatapathy, i Ames Research Center, red. SAGE, the self-adaptive grid codE, version 3. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1999.

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31

Ethiraj, Venkatapathy, i Ames Research Center, red. SAGE, the self-adaptive grid codE, version 3. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1999.

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32

Ethiraj, Venkatapathy, i Ames Research Center, red. SAGE, the self-adaptive grid codE, version 3. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1999.

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33

Ethiraj, Venkatapathy, i Ames Research Center, red. SAGE, the self-adaptive grid codE, version 3. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1999.

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34

Laroussi, Foued. Code-switching, languages in contact and electronic writings. Frankfurt am Main: Peter Lang, 2011.

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35

Kløve, Torleiv. Error Detecting Codes: General Theory And Their Application in Feedback Communication Systems. Boston, MA: Springer US, 1995.

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36

A, Suresh, i Lewis Research Center, red. Analysis of inlet-compressor acoustic interactions using coupled CFD codes. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.

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37

Bogdanoff, David W. A computational fluid dynamics code for the investigation of ramjet-in-tube concepts. New York: AIAA, 1987.

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38

Moitra, Anutosh. HOMAR: A computer code for generating homotopic grids using algebraic relations : users' manual. Hampton, Va: Langley Research Center, 1989.

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39

Heegard, Chris. Turbo Coding. Boston, MA: Springer US, 1999.

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40

Sathe, Sanjeev. A general-purpose finite-difference code for solving steady-state three-dimensional fluid-flow and heat transfer problems. Monterey, Calif: Naval Postgraduate School, 1991.

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41

Nannan, Gao, red. Lecture notes on computational mutation. New York: Nova Science Publishers, 2008.

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42

Djomehri, M. Jahed. An assessment of the adaptive unstructured tetrahedral grid, Euler flow solver code FELISA. Moffett Field, Calif: Ames Research Center, 1994.

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43

Arboit, Geneviève. Average case reductions for subset sum and decoding of linear codes. [Toronto]: Arboit, 1999.

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44

Alekseev, Valeriy. Discrete mathematics. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1172256.

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Streszczenie:
The textbook is written on the basis of a course of lectures on discrete mathematics given to students of the faculty of computational mathematics and Cybernetics of the Lomonosov Moscow state University. It includes an introduction to such sections of discrete mathematics as Boolean functions, k-valued functions, graphs, codes, automata, and the implementation of Boolean functions by schemes. It can be used for reading the course "Discrete mathematics", as well as for self-study of the basics of discrete mathematics.
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45

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. A selection of experimental test cases for the validation of CFD codes. Neuilly-sur-Seine, France: AGARD, 1994.

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46

North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. A selection of experimental test cases for the validation of CFD codes. Neuilly-sur-Seine: AGARD, 1994.

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47

(Editor), Laurence Abbott, i Terrence J. Sejnowski (Editor), red. Neural Codes and Distributed Representations: Foundations of Neural Computation (Computational Neuroscience). The MIT Press, 1999.

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48

Maeda, John. Creative Code: Aesthetics + Computation. Thames & Hudson, 2004.

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49

Albuquerque, Clarice Dias de, Eduardo Brandani da Silva i Waldir Soares. Quantum Codes for Topological Quantum Computation. Springer International Publishing AG, 2022.

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50

Koch, Christof. Biophysics of Computation. Oxford University Press, 1998. http://dx.doi.org/10.1093/oso/9780195104912.001.0001.

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Streszczenie:
Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can be encoded in the voltage across the membrane, in the intracellular calcium concentration, or in the timing of individual spikes. Key topics covered include the linear cable equation; cable theory as applied to passive dendritic trees and dendritic spines; chemical and electrical synapses and how to treat them from a computational point of view; nonlinear interactions of synaptic input in passive and active dendritic trees; the Hodgkin-Huxley model of action potential generation and propagation; phase space analysis; linking stochastic ionic channels to membrane-dependent currents; calcium and potassium currents and their role in information processing; the role of diffusion, buffering and binding of calcium, and other messenger systems in information processing and storage; short- and long-term models of synaptic plasticity; simplified models of single cells; stochastic aspects of neuronal firing; the nature of the neuronal code; and unconventional models of sub-cellular computation. Biophysics of Computation: Information Processing in Single Neurons serves as an ideal text for advanced undergraduate and graduate courses in cellular biophysics, computational neuroscience, and neural networks, and will appeal to students and professionals in neuroscience, electrical and computer engineering, and physics.
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