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1

Roberts, Leonard. Computation of high speed transport aerodynamics. Stanford, Calif: Stanford University, Dept. of Aeronautics and Astronautics, 1991.

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2

Abolhassani, Jamshid S. Topology and grid adaption for high-speed flow computations. Hampton, Va: Langley Research Center, 1989.

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3

Tauber, Michael E. A review of high-speed, convective, heat-transfer computation methods. Moffett Field, Calif: Ames Research Center, 1989.

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4

Rostand, Philippe. Algebraic turbulence models for the computation of two-dimensional high speed flows using unstructured grids. Hampton, Va: ICASE, 1988.

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5

Gentzsch, Wolfgang. High speed and large scale scientific computing. Amsterdam: IOS Press, 2009.

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6

Gentzsch, Wolfgang. High speed and large scale scientific computing. Amsterdam: IOS Press, 2009.

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7

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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8

Coirier, William J. Efficient real gas Navier-Stokes computations of high speed flows using an LU scheme. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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9

Taki, Mustafa. Computation of the aerodynamic performance of high-lift aerofoil systems at low-speed and transonic flow conditions. Manchester: UMIST, 1997.

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10

Groth, Clinton P. T. TVD flux-difference split methods for high-speed thermochemical nonequilibrium flows with strong shocks. [Toronto, Ont.]: University of Toronto, Graduate Dept. of Aerospace Science and Engineering, 1993.

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11

Groth, Clinton P. T. TVD flux-difference split methods for high-speed thermochemical equilibrium flows with strong shocks. [Downsview, Ont.]: University of Toronto, Institute for Aerospace Studies, 1993.

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12

Bell, J. H. Contraction design for small low-speed wind tunnels. [Washington, DC: National Aeronautics and Space Administration, 1988.

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13

Szuch, John R. Enhancing aeropropulsion research with high-speed interactive computing. [Cleveland, Ohio: National Aeronautics and Space Administration, Lewis Research Center, 1991.

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14

Walker, J. D. A. Embedded function methods for compressible high speed turbulent flow: Final report. Hampton, Va: NASA Langley Research Center, 1994.

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15

Pope, Stephen B. PDF methods for combustion in high-speed turbulent flows: Second annual technical report. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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16

El-Hady, Nabil M. Large-eddy simulation of laminar-turbulent breakdown at high speeds with dynamic subgrid-scale modeling. Hampton, Va: Langley Research Center, 1993.

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17

Podleski, Steve D. PARC3D calculations of the F/A-18A HARV inlet vortex generators. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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18

G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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19

G, Rehm Ronald, National Institute of Standards and Technology (U.S.), and Building and Fire Research Laboratory (U.S.), eds. An efficient large eddy simulation algorithm for computational wind engineering: Application to surface pressure computations on a single building. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.

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20

A review of high-speed, convective, heat-transfer computation methods. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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21

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. A review of high-speed, convective, heat-transfer computation methods. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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22

Topology and grid adaption for high-speed flow computations. Norfolk, Va: Dept. of Mechanical Engineering and Mechanics, College of Engineering and Technology, Old Dominion University, 1988.

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23

N, Tiwari S., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Topology and grid adaptation for high-speed flow computations. [Washington, DC]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

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24

Anderson, James A. The Past of the Future of Computation. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0001.

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Hand axes, language, and computers are tools that increase our ability to deal with the world. Computing is a cognitive tool and comes in several kinds: digital, analog, and brain-like. An analog telephone connects two telephones with a wire. Talking causes a current to flow on the wire. In a digital telephone the voltage is converted into groups of ones or zeros and sent at high speed from one telephone to the other. An analog telephone requires one simple step. A digital telephone requires several million discrete steps per second. Digital telephones work because the hardware has gotten much faster. Yet brains constructed of slow devices and using a few watts of power are competitive for many cognitive tasks. The important question is not why machines are becoming so smart but why humans are still so good. Artificial intelligence is missing something important probably based on hardware differences.
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25

Unstructured adaptive mesh computations of rotorcraft high-speed impulsive noise. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1993.

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26

Michael, Garceau, Biswas Rupak, and Research Institute for Advanced Computer Science (U.S.), eds. Unstructured adaptive mesh computations of rotorcraft high-speed impulsive noise. [Moffett Field, Calif.]: Research Institute for Advanced Computer Science, NASA Ames Research Center, 1993.

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27

Center, Lewis Research, ed. Application of computational fluid dynamics in high speed aeropropulsion. [Cleveland, Ohio: Lewis Research Center, 1991.

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28

(Editor), J. A. Desideri, W. Fitzgibbon (Editor), R. Glowinski (Editor), and J. Periaux (Editor), eds. High Speed Flow Fields (Computational Methods in Applied Sciences). John Wiley & Sons Inc, 1999.

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29

Dolatabadi, Ali. A computational analysis of high speed particle-laden flows. 2002.

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30

J, Wilson Gregory, and United States. National Aeronautics and Space Administration., eds. Computations of axisymmetric flows in hypersonic shock tubes. Washington, DC: American Institute of Aeronautics and Astronautics, 1995.

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31

National Aeronautics and Space Administration (NASA) Staff. Inviscid Computational Study of an X-33 Configuration at Hypersonic Speeds. Independently Published, 2018.

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32

An inviscid computational study of an X-33 configuration at hypersonic speeds. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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33

Center, Langley Research, ed. An inviscid computational study of an X-33 configuration at hypersonic speeds. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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34

D, Hathaway M., United States. National Aeronautics and Space Administration., and U.S. Army Research Laboratory., eds. Experimental and computational results from a large low-speed centrifugal impeller. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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35

D, Hathaway Michael, United States. National Aeronautics and Space Administration., and U.S. Army Research Laboratory., eds. Experimental and computational results from a large low-speed centrifugal impeller. [Washington, DC]: National Aeronautics and Space Administration, 1993.

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36

Investigation of parabolic computational techniques for internal high-speed viscous flows. East Hartford, CT: United Technologies Research Center, 1985.

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37

Center, Langley Research, ed. Inviscid flow computations of the orbital sciences X-34 over a Mach number range of 1.25 to 6.0. Hampton, Va: National Aeronautics and Science Administration, Langley Research Center, 2001.

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38

Inviscid flow computations of the orbital sciences X-34 over a Mach number range of 1.25 to 6.0. Hampton, Va: National Aeronautics and Science Administration, Langley Research Center, 2001.

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39

A, Wahls Richard, and Langley Research Center, eds. Turbulence model comparisons for a high-speed aircraft. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1999.

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40

Geshi, Masaaki. The Art of High Performance Computing for Computational Science, Vol. 1: Techniques of Speedup and Parallelization for General Purposes. Springer, 2020.

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41

Geshi, Masaaki. The Art of High Performance Computing for Computational Science, Vol. 1: Techniques of Speedup and Parallelization for General Purposes. Springer, 2019.

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42

United States. National Aeronautics and Space Administration., ed. High speed civil transport aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.

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43

United States. National Aeronautics and Space Administration., ed. High speed civil transport aerodynamic optimization. San Jose, CA: MCAT Institute, 1994.

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44

Center, Langley Research, ed. Algebraic turbulence models for the computation of two-dimensional high speed flows using unstructured grids. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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45

United States. National Aeronautics and Space Administration., ed. Efficient real gas Navier-Stokes computations of high speed flows using an LU scheme. [Washington, DC]: National Aeronautics and Space Administration, 1990.

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46

Addition & Subtraction Flashcard Games: 25 Fun Games to Improve Speed and Accuracy in Computation (Flashcard Games). Teaching Resources, 2004.

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47

D, Hathaway Michael, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Experimental and computational investigation of the NASA low-speed centrifugal compressor flow field. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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48

D, Hathaway Michael, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Experimental and computational investigation of the NASA low-speed centrifugal compressor flow field. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1993.

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49

Mesinger, Fedor, Miodrag Rančić, and R. James Purser. Numerical Methods in Atmospheric Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.617.

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The astonishing development of computer technology since the mid-20th century has been accompanied by a corresponding proliferation in the numerical methods that have been developed to improve the simulation of atmospheric flows. This article reviews some of the numerical developments concern the ongoing improvements of weather forecasting and climate simulation models. Early computers were single-processor machines with severely limited memory capacity and computational speed, requiring simplified representations of the atmospheric equations and low resolution. As the hardware evolved and memory and speed increased, it became feasible to accommodate more complete representations of the dynamic and physical atmospheric processes. These more faithful representations of the so-called primitive equations included dynamic modes that are not necessarily of meteorological significance, which in turn led to additional computational challenges. Understanding which problems required attention and how they should be addressed was not a straightforward and unique process, and it resulted in the variety of approaches that are summarized in this article. At about the turn of the century, the most dramatic developments in hardware were the inauguration of the era of massively parallel computers, together with the vast increase in the amount of rapidly accessible memory that the new architectures provided. These advances and opportunities have demanded a thorough reassessment of the numerical methods that are most successfully adapted to this new computational environment. This article combines a survey of the important historical landmarks together with a somewhat speculative review of methods that, at the time of writing, seem to hold out the promise of further advancing the art and science of atmospheric numerical modeling.
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50

High-Resolution Methods for Incompressible and Low-Speed Flows (Computational Fluid and Solid Mechanics). Springer, 2004.

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