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1

L, Chiappetta, Gosman A. D, and United States. National Aeronautics and Space Administration., eds. Error reduction program: Final report. National Aeronautics and Space Administration, 1985.

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2

Thomas, Nehrkorn, Grassotti Christopher, and United States. National Aeronautics and Space Administration., eds. Distortion representation of forecast errors for model skill assessment and objective analysis: Technical report. National Aeronautics and Space Administration, 1997.

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3

1961-, Hammer R., ed. Numerical toolbox for verified computing. Springer-Verlag, 1993.

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4

Lin, Shu. On codes with multi-level error-correction capabilities. National Aeronautics and Space Administration, 1987.

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5

Shu, Lin. On codes with multi-level error-correction capabilities. National Aeronautics and Space Administration, 1987.

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6

Novak, Erich. Deterministic and Stochastic Error Bounds in Numerical Analysis. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/bfb0079792.

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7

Novak, Erich. Deterministic and stochastic error bounds in numerical analysis. Springer-Verlag, 1988.

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8

G, Kalit, and Ames Research Center, eds. Mean-square error bounds for reduced-order linear state estimators. National Aeronautics and Space Administration, Ames Research Center, 1987.

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9

G, Kalit, and Ames Research Center, eds. Mean-square error bounds for reduced-order linear state estimators. National Aeronautics and Space Administration, Ames Research Center, 1987.

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10

Baram, Yoram. Mean-square error bounds for reduced-order linear state estimators. National Aeronautics and Space Administration, Ames Research Center, 1987.

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11

Shu, Lin. Cyclic unequal error protection codes constructed from cyclic codes of composite length. National Aeronautics and Space Administration, 1987.

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12

Kulisch, Ulrich. Numerical Toolbox for Verified Computing I: Basic Numerical Problems Theory, Algorithms, and Pascal-XSC Programs. Springer Berlin Heidelberg, 1993.

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13

Center, Ames Research, ed. Round-off error propogation in four generally applicable, recursive, least-squares-estimation schemes. National Aeronautics and Space Administration, Ames Research Center, 1988.

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14

Verfürth, Rüdiger. A review of a posteriori error estimation and adaptive mesh-refinement techniques. Wiley-Teubner, 1996.

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15

1961-, Hammer R., ed. Numerical toolbox for verified computing: Theory, algorithms, and Pascal-XSC programs. Springer-Verlag, 1993.

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16

Xiaolei, Zhu, and Research Institute for Advanced Computer Science (U.S.), eds. Stability and error estimation for component adaptive grid methods. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.

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17

Maday, Yvon. Error analysis for spectral approximation of the Korteweg-de Vries equation. National Aeronautics and Space Administration, Langley Research Center, 1987.

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18

Tadmor, Eitan. Local error estimates for discontinuous solutions of nonlinear hyperbolic equations. Institute for Computer Applications in Science and Engineering, 1989.

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19

Center, Langley Research, ed. Local error estimates for discontinuous solutions of nonlinear hyperbolic equations. National Aeronautics and Space Administration, Langley Research Center, 1990.

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20

1941-, Alefeld G., and Herzberger Jürgen, eds. Numerical methods and error bounds: Proceedings of the IMACS GAMM International Symposium on Numerical Methods and Error Bounds held in Oldenburg, Germany, July 9-12, 1995. Akademie Verlag, 1996.

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21

Han, Weimin. Posteriori error analysis via duality theory: With applications in modeling and numerical ... Springer, 2004.

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22

Estep, Donald J. Estimating the error of numerical solutions of systems of reaction-diffusion equations. American Mathematical Society, 2000.

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23

Skeel, Robert D. Global error estimation and the backward differentiation formulas. Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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24

P, Biemer Paul, ed. Measurement errors in surveys. Wiley-Interscience, 2004.

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25

Papamichael, Nicholas. Local behaviour of the error in the Bergman kernel method for numerical conformal mapping. Brunel University, Department of Mathematics and Statistics, 1991.

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26

Trompert, R. A. Local uniform grid refinement for time-dependent partial differential equations. Centrum voor Wiskunde en Informatica, 1995.

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27

Maday, Yvon. A well-posed optimal spectral element approximation for the Stokes problem. National Aeronautics and Space Administration, Langley Research Center, 1987.

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28

Maday, Yvon. A well-posed optimal spectral element approximation for the Stokes problem. ICASE, 1987.

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29

Maday, Yvon. A well-posed optimal spectral element approximation for the Stokes problem. National Aeronautics and Space Administration, Langley Research Center, 1987.

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30

Nespor, Vladislav. Investigation of wind-induced error of precipitation measurem,ents using a three-dimensional numerical simulation. Geographisches Institut ETH, 1996.

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31

Miller, J. J. H. Fitted Numerical Methods for Singular Perturbation Problems: Error estimates in the maximum norm for linear problems in one and two dimensions. World Scientific, 2012.

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32

Alkan, Donmez M., Welsch Lawrence Arno 1948-, and National Institute of Standards and Technology (U.S.), eds. Porting a complex machine tool error compensation system from Microsoft DOS to Microsoft Windows NT. U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 2001.

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33

Acton, Forman S. REAL computing made real: Preventing errors in scientific and engineering calculations. Princeton University Press, 1996.

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34

Wang, Chʻing-lin. A numerical procedure for recovering true scattering coefficients from measurements with wide-beam antennas. Unversity of Kansas Center for Research, Inc., Radar Systems and Remote Sensing Laboratory, 1991.

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35

Diskin, Boris. New factorizable discretizations for the Euler equations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2002.

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36

E, O'Riordan, and Shishkin G. I, eds. Fitted numerical methods for singular perturbation problems: Error estimates in the maximum norm for linear problems in one and two dimensions. World Scientific, 1996.

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37

Diskin, Boris. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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38

Center, Langley Research, ed. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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39

Center, Langley Research, ed. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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40

Center, Langley Research, ed. Solving upwind-biased discretizations II: Multigrid solver using semicoarsening. National Aeronautics and Space Administration, Langley Research Center, 1999.

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41

Despotakis, Vasilios K. Geoid undulation computations at laser tracking stations. Dept. of Geodetic Science and Surveying, Ohio State University, 1987.

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42

United States. National Aeronautics and Space Administration., ed. Geoid undulation computations at laser tracking stations: Reports of the Department of Geodetic Science and Surveying : report no. 383. National Aeronautics and Space Administration, 1987.

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43

Diskin, Boris. Analysis of boundary conditions for factorizable discretizations of the Euler equations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 2002.

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44

Zaslavski, Alexander J. Numerical Optimization with Computational Errors. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30921-7.

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45

P, Biemer Paul, and International Conference on Measurement Errors in Surveys (1990 : Tucson, Ariz.), eds. Measurement errors in surveys. Wiley, 1991.

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46

Rabinovich, S. G. Measurement errors: Theory and practice. American Institute of Physics, 1995.

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47

Wilkinson, J. H. Rounding errors in algebraic processes. Dover, 1994.

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48

1952-, Thomas James L., and Institute for Computer Applications in Science and Engineering., eds. Solving upwind-biased discretizations: Defect-correction iterations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

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49

1952-, Thomas James L., and Institute for Computer Applications in Science and Engineering., eds. Solving upwind-biased discretizations: Defect-correction iterations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

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50

Diskin, Boris. Solving upwind-biased discretizations: Defect-correction iterations. Institute for Computer Applications in Science and Engineering, NASA Langley Research Center, 1999.

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