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1

Error analysis in numerical processes. Wiley, 1991.

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2

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

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3

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

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4

Numerical analysis for electromagnetic integral equations. Artech House, 2008.

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5

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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6

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

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7

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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8

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

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9

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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10

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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11

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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12

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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13

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

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14

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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15

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

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16

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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17

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

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18

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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19

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

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20

Herman, Deconinck, ed. Error Estimation and Adaptive Discretization Methods in Computational Fluid Dynamics. Springer Berlin Heidelberg, 2003.

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21

Valérie, Frayssé, ed. Lectures on finite precision computations. SIAM, 1996.

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22

I, Repin Sergey, ed. Reliable methods for computer simulation: Error control and a posteriori estimates. Elsevier, 2004.

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23

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

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24

1949-, Beth Thomas, and Clausen Michael, eds. Applicable algebra, error-correcting codes, combinatorics and computer algebra: Proceedings. Springer-Verlag, 1988.

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25

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

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26

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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27

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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28

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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29

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

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30

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

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31

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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32

Buglia, James J. Effect of ephemeris errors on the accuracy of the computation of the tangent point altitude of a solar scanning ray as measured by the SAGE I and II instruments. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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33

service), SpringerLink (Online, ed. Measurement Uncertainties: Physical Parameters and Calibration of Instruments. Springer Berlin Heidelberg, 2012.

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34

Fairbank, Ben. Equipercentile test equating: The effects of presmoothing and postsmoothing on the magnitude of sample-dependent errors. Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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35

Imaging, multi-scale, and high-contrast partial differential equations: Seoul ICM 2014 Satellite Conference, August 7-9, 2014, Daejeon, Korea. American Mathematical Society, 2016.

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36

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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37

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

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38

Gustafson, John L. End of Error: Unum Computing. Taylor & Francis Group, 2017.

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39

End of Error: Unum Computing. Taylor & Francis Group, 2017.

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40

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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41

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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42

Kulisch, U., D. Ratz, R. Hammer, and M. Hocks. Numerical Toolbox for Verified Computing I: Basic Numerical Problems : Theory, Algorithms, and Pascal-Xsc Programs (Springer Series in Computational Mathematics). Springer, 1993.

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43

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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44

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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45

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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46

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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47

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

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48

A Graduate Introduction to Numerical Methods. Springer-Verlag New York Inc., 2013.

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49

Deterministic and Stochastic Error Bounds in Numerical Analysis Lecture Notes in Mathematics. Springer, 1988.

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50

Stability and error estimation for component adaptive grid methods. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1994.

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