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1

L, Magnanti Thomas, i Orlin James B. 1953-, red. Network flows: Theory, algorithms, and applications. Englewood Cliffs, N.J: Prentice Hall, 1993.

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2

Tidriri, M. D. Schwarz-based algorithms for compressible flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1996.

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3

L, Magnanti Thomas, i Orlin James B, red. Network flows: Theory, algorithms, and applications. Englewood Cliffs, NJ: Prentice Hall, 1993.

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4

1955-, Bloch Anthony, red. Hamiltonian and gradient flows, algorithms, and control. Providence, RI: American Mathematical Society, 1994.

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5

Ruhe, Günther. Algorithmic Aspects of Flows in Networks. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3444-6.

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6

Ruhe, Günther. Algorithmic aspects of flows in networks. Dordrecht: Kluwer Academic Publishers, 1991.

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7

United States. National Aeronautics and Space Administration., red. An algorithm for unsteady flows with strong convection. [Washington, DC]: National Aeronautics and Space Administration, 1988.

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8

An Euler solution algorithm for steady helicopter-rotor flows. [Downsview, Ont.]: University of Toronto, Graduate Department of Aerospace Science and Engineering, 1994.

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9

Oden, J. Tinsley. Vectorizable algorithms for adaptive schemes for rapid analysis of SSME flows: Final report. Austin, Tex: Computational Mechanics Co., Inc., 1987.

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10

B, Gatski T., i Langley Research Center, red. Efficient parallel algorithm for direct numerical simulation of turbulent flows. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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11

Palmer, Grant. Comparison of nonequilibrium solution algorithms applied to chemically stiff hypersonic flows. Washington, DC: American Institute of Aeronautics and Astronautics, 1995.

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12

Chisholm, Todd. Multigrid acceleration of an approximately-factored algorithm for steady aerodynamic flows. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1999.

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13

Chisholm, Todd. Multigrid acceleration of an approximately-factored algorithm for steady aerodynamic flows. [Toronto]: Dept. of Aerospace Science and Engineering, University of Toronto, 1997.

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14

NASA Dryden Flight Research Center., red. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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15

Bui, Trong T. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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16

NASA Dryden Flight Research Center., red. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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17

NASA Dryden Flight Research Center., red. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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18

NASA Dryden Flight Research Center., red. A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1999.

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19

Gnoffo, Peter A. An upwind-biased, point-implicit relaxation algorithm for viscous, compressible perfect-gas flows. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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20

Gnoffo, Peter A. An upwind-biased, point-implicit relaxation algorithm for viscous, compressible perfect-gas flows. Hampton, Va: Langley Research Center, 1990.

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21

Gnoffo, Peter A. An upwind-biased, point-implicit relaxation algorithm for viscous, compressible perfect-gas flows. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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22

Shuen, Jian-Shun. A time-accurate algorithm for chemical non-equilibrium viscous flows at all speeds. Washington, D. C: American Institute of Aeronautics and Astronautics, 1992.

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23

Finite element methods for viscous incompressible flows: A guide to theory, practice, and algorithms. Boston: Academic Press, 1989.

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24

Thareja, R. R. Applications of an adaptive unstructured solution algorithm to the analysis of high speed flows. Washington, D. C: American Institute of Aeronautics and Astronautics, 1990.

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25

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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26

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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27

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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28

United States. National Aeronautics and Space Administration., red. Visualizing time-varying phenomena in numerical simulations of unsteady flows. [Washington, DC: National Aeronautics and Space Administration, 1996.

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29

L, Whitfield David, Anderson W. Kyle i United States. National Aeronautics and Space Administration., red. An multiblock approach for calculating incompressible fluid flows on unstructured grids. [Washington, DC: National Aeronautics and Space Administration, 1997.

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30

Sangalli, Arturo. Éloge du flou: Aux frontières des mathématiques et de l'intelligence artificielle. [Montréal]: Presses de l'Université de Montréal, 2001.

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31

United States. National Aeronautics and Space Administration., red. An efficient and robust algorithm for two dimensional time dependent incompressible Navier-Stokes equations: High Reynolds number flows. Washington, DC: National Aeronautics and Space Administration, 1991.

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32

Beauquier, Danièle. Eléments d'algorithmique. Paris: Masson, 1992.

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33

Thornton, Earl A. Supercomputer implementation of finite element algorithms for high speed compressible flows: Progress report for the period ended June 30, 1986. Norfolk, Va: Old Dominion University Research Foundation, 1986.

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34

1939-, Tzafestas S. G., red. Soft computing in systems and control technology. Singapore: World Scientific, 1999.

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35

W, Hou Gene, i United States. National Aeronautics and Space Administration., red. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications: Progress report for the period April 15, 1992 to January 31, 1993. Norfolk, Va: Old Dominion University Research Foundation, 1993.

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36

W, Hou Gene, i United States. National Aeronautics and Space Administration., red. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications. Norfolk, Va: Old Dominion University Research Foundation, 1992.

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37

W, Hou Gene, i United States. National Aeronautics and Space Administration., red. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications. Norfolk, Va: Old Dominion University Research Foundation, 1994.

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38

W, Hou Gene, i United States. National Aeronautics and Space Administration., red. Methodology for sensitivity analysis, approximate analysis, and design optimization in CFD for multidisciplinary applications: Final report for the period ended December 31, 1995. Norfolk, Va: Dept. of Mechanical Engineering, College of Engineering & Technology, Old Dominion University, 1996.

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39

C, Canuto, red. Spectral methods: Evolution to complex geometries and applications to fluid dynamics. Berlin: Springer, 2007.

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40

Newman, Mark. Computer algorithms. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805090.003.0008.

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Streszczenie:
This chapter introduces some of the fundamental concepts of numerical network calculations. The chapter starts with a discussion of basic concepts of computational complexity and data structures for storing network data, then progresses to the description and analysis of algorithms for a range of network calculations: breadth-first search and its use for calculating shortest paths, shortest distances, components, closeness, and betweenness; Dijkstra's algorithm for shortest paths and distances on weighted networks; and the augmenting path algorithm for calculating maximum flows, minimum cut sets, and independent paths in networks.
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41

National Aeronautics and Space Administration (NASA) Staff. Schwarz-Based Algorithms for Compressible Flows. Independently Published, 2018.

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42

Ruhe, Günther. Algorithmic Aspects of Flows in Networks. Springer, 1991.

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43

Ruhe, Günther. Algorithmic Aspects of Flows in Networks. Springer, 2012.

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44

Ruhe, Günther. Algorithmic Aspects of Flows in Networks. Springer, 2013.

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45

Hulshoff, Steven John. An Euler solution algorithm for steady helicopter-rotor flows. 1995.

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46

(Editor), Mike Nachtegael, Dietrich Van der Weken (Editor), Dimitri Van De Ville (Editor) i Etienne E. Kerre (Editor), red. Fuzzy Filters for Image Processing (Studies in Fuzziness and Soft Computing). Springer, 2004.

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47

Kerre, Etienne E., Mike Nachtegael, Dietrich van der Weken i Dimitri van de Ville. Fuzzy Filters for Image Processing. Springer, 2013.

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48

Ahuja, Ravindra K., Thomas L. Magnanti i James B. Orlin. Network Flows : Pearson New International Edition: Theory, Algorithms, and Applications. Pearson Education, Limited, 2013.

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49

Förster, Karl. Boundary Algorithms for Multidimensional Inviscid Hyperbolic Flows: A GAMM-Workshop. Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 2013.

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50

Korte, Bernhard. Paths, Flows and Very Large Scale Integration Layout (Algorithms & Combinatorics). Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1990.

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