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1

L, Magnanti Thomas, and Orlin James B. 1953-, eds. 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, and Orlin James B, eds. Network flows: Theory, algorithms, and applications. Englewood Cliffs, NJ: Prentice Hall, 1993.

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4

1955-, Bloch Anthony, ed. 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., ed. 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., and Langley Research Center, eds. 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., ed. 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., ed. 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., ed. 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., ed. 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., ed. 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., ed. 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., ed. 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., ed. 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, and United States. National Aeronautics and Space Administration., eds. 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., ed. 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., ed. Soft computing in systems and control technology. Singapore: World Scientific, 1999.

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35

W, Hou Gene, and United States. National Aeronautics and Space Administration., eds. 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, and United States. National Aeronautics and Space Administration., eds. 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, and United States. National Aeronautics and Space Administration., eds. 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, and United States. National Aeronautics and Space Administration., eds. 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, ed. 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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Abstract:
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), and Etienne E. Kerre (Editor), eds. 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, and Dimitri van de Ville. Fuzzy Filters for Image Processing. Springer, 2013.

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48

Ahuja, Ravindra K., Thomas L. Magnanti, and 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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