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1

Catalano, L. A. Two dimensional optimization of smoothing properties of multistage schemes applied to hyperbolic equations. Rhode Saint Genese, Belgium: von Karman Institute for Fluid Dynamics, 1990.

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2

Facchinei, Francisco. Finite-Dimensional Variational Inequalities and Complementarity Problems. New York, NY: Springer-Verlag New York, Inc., 2004.

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3

Williams, David H. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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4

Baysal, Oktay. Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.

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5

Glovackaya, Alevtina. Computational model. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1013723.

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The textbook covers the basics of classical numerical methods of computational mathematics used for solving linear and nonlinear equations and systems; interpolation and approximation of functions; numerical integration and differentiation; solutions of ordinary differential equations by methods of one-dimensional and multidimensional optimization. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is intended for students of higher educational institutions studying in the discipline "Numerical methods".
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6

Ohsaki, Makoto, and Makoto Ohsaki. Optimization of finite dimensional structures. Boca Raton: Taylor & Francis, 2011.

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7

Optimization of finite dimensional structures. Boca Raton: Taylor & Francis, 2011.

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8

Duck, Peter W. Three-dimensional marginal separation. Hampton, Va: Institute for Computational Mechanics in Propulsion, 1988.

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9

Three-dimensional echocardiography. Berlin: Springer, 2011.

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10

Herman, Gabor T., and Joachim Frank, eds. Computational Methods for Three-Dimensional Microscopy Reconstruction. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9521-5.

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11

1934-, Nagai Jun, ed. Three-dimensional CT angiography. Boston: Little, Brown, 1995.

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12

Diewert, George S. Simulation of complex three-dimensional flows. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1985.

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13

Bruder, Leslie. Hot stone massage: A three-dimensional approach. Philadelphia: Wolters Kluwer/Lippincott Williams & Wilkins Health, 2010.

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14

Mavriplis, Dimitri J. Three dimensional unstructured multigrid for the Euler equations. Hampton, Va: ICASE, 1991.

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15

Cannizzaro, Frank E. A multiblock multigrid three-dimensional Euler equation solver. [S.l.]: [s.n.], 1991.

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16

3D computer vision: Efficient methods and applications. Dordrecht: Springer, 2009.

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17

Edmonds, Janet. Three-dimensional embroidery: Methods of construction for the third dimension. London: Batsford, 2005.

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18

Turkel, Eli. Multigrid for hypersonic viscous two- and three-dimensional flows. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1991.

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19

Kuruvila, G. Three-dimensional simulation of vortex breakdown. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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20

Duck, Peter W. Unsteady three-dimensional marginal separation, including breakdown. [Washington, D.C.]: NASA, 1990.

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21

Clark, R. W. A new iterative matrix solution procedure for three-dimensional panel methods. New York: AIAA, 1985.

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22

M. W. M. G. Dissanayake. Vibratory methods for determining the spatial location of three-dimensional objects. Birmingham: University of Birmingham, 1985.

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23

Goede, E. D. de. Numerical methods for the three-dimensional shallow water equations on supercomputers. Amsterdam: Centrum voor Wiskunde en Informatica, 1993.

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24

Krispin, J. Second-order Godunov methods and self-similar steady supersonic three-dimensional flowfields. Washington, D. C: American Institute of Aeronautics and Astronautics, 1991.

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25

Mavriplis, Dimitri J. A three dimensional multigrid Reynolds-averaged Navier-Stokes solver for unstructured meshes. Hampton, Va: Institute for Computer Applications in Science and Engineering, 1994.

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26

Caughey, D. A. Multigrid calculation of three-dimensional turbomachinery flows. Ithaca, New York: Fluid Dynamics and Aerodynamics Program, Sibley School of Mechanical and Aerospace Engineering, Cornell University, 1989.

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27

Anderson, W. Kyle. Three-dimensional multigrid algorithms for the flux-split Euler equations. Hampton, Va: Langley Research Center, 1988.

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28

Anderson, W. Kyle. Three-dimensional multigrid algorithms for the flux-split Euler equations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

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29

Anderson, W. Kyle. Three-dimensional multigrid algorithms for the flux-split Euler equations. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

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30

Three-dimensional biomedical imaging: Principles and practice. New York: Wiley-Liss, 1998.

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31

Three dimensional biomedical imaging: Principles and practice. New York: VCH, 1995.

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32

Wrisdale, Ian Edward. Flow prediction for three-dimensional intakes and ducts using viscous-inviscid interaction methods. Salford: University of Salford, 1991.

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33

Bunce, Nicholas. An atlas of contrast-enhanced angiography: Three-dimensional magnetic resonance angiography. Boca Raton: Parthenon Publishing Group, 2003.

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34

Medvedev, M. V. Trekhmernai͡a ėkhografii͡a v akusherstve. Moskva: Realʹnoe vremi͡a, 2007.

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35

Kwong, Chung-Ming. Three-dimensional separated flow prediction on fusiform body using euler and boundary layer methods. Salford: University of Salford, 1989.

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36

Endoscopic sinus surgery: Anatomy, three-dimensional reconstruction, and surgical technique. 3rd ed. New York: Thieme, 2012.

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37

N, Tiwari S., Smith R. E, and United States. National Aeronautics and Space Administration., eds. Variational methods in design optimization and sensitivity analysis for two-dimensional Euler equations: NASA cooperative agreement NCC1-232. Norfolk, Va: Institute for Computational and Applied Mechanics, Old Dominion University, 1997.

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38

1944-, Biezad Daniel J., and United States. National Aeronautics and Space Administration., eds. Subsonic wing optimization for handling qualities using ACSYNT: Final report, MS thesis : NASA grant number NCC 2-855, Cal Poly project 5339. [Washington, DC: National Aeronautics and Space Administration, 1996.

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39

M, Green Steven, Langley Research Center, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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40

M, Green Steven, Langley Research Center, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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41

M, Green Steven, Langley Research Center, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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42

1934-, Jameson Antony, and United States. National Aeronautics and Space Administration., eds. Control theory based airfoil design for potential flow and a finite volume discretization. [Washington, DC: National Aeronautics and Space Administration, 1995.

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43

Goldstone, Karen E. Principles and control methods. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199655212.003.0006.

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Justification, optimization, and limitation are the three underlying principles of good radiation protection. This chapter considers how these principles apply in a variety of exposure situations. Risk-based application of the principles results in control methods comprising control over areas, control over people, and control over radiation sources. These are implemented through judgements based on the use of dose limits, dose constraints, and application of the ALARA principle. Potential dose levels and possible control measures appropriate to each situation are reviewed and evaluated in risk assessments prior to work being undertaken.
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44

United States. National Aeronautics and Space Administration., ed. Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.

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45

United States. National Aeronautics and Space Administration., ed. Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.

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46

Efficient gradient-based shape optimization methodology using inviscid/viscous CFD: Summary of research report for the period of March 9, 1995 to March 8, 1997, grant# NCC-1-211. Norfolk, Va: Dept. of Aerospace Engineering, College of Engineering and Technology, Old Dominion University, 1997.

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47

United States. National Aeronautics and Space Administration., ed. Three-dimensional marginal separation. [Washington, D.C.]: National Aeronautics and Space Administration, 1989.

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48

United States. National Aeronautics and Space Administration., ed. Three-dimensional marginal separation. [Washington, D.C.]: National Aeronautics and Space Administration, 1989.

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49

United States. National Aeronautics and Space Administration., ed. Three-dimensional marginal separation. [Washington, D.C.]: National Aeronautics and Space Administration, 1989.

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50

Downey, Donal B., Dolores H. Pretorius, and Aaron Fenster. Three-Dimensional Ultrasound. Lippincott Williams & Wilkins, 1999.

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