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1

Krämer, Walter, and Jürgen Wolff von Gudenberg, eds. Scientific Computing, Validated Numerics, Interval Methods. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6484-0.

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2

Krämer, Walter. Scientific Computing, Validated Numerics, Interval Methods. Springer US, 2001.

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3

Walter, Krämer, and Gudenberg, J. Wolff von 1952-, eds. Scientific computing, validated numerics, interval methods. Kluwer Academic/Plenum, 2001.

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4

Kreinovich, Vladik, Andre Korvin, R. Baker Kearfott, and Chenyi Hu, eds. Knowledge Processing with Interval and Soft Computing. Springer London, 2008. http://dx.doi.org/10.1007/978-1-84800-326-2.

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5

Nguyen, Hung T., Vladik Kreinovich, Berlin Wu, and Gang Xiang. Computing Statistics under Interval and Fuzzy Uncertainty. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24905-1.

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6

Chenyi, Hu, ed. Knowledge processing with interval and soft computing. Springer, 2008.

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7

Chenyi, Hu, ed. Knowledge processing with interval and soft computing. Springer, 2008.

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8

E, Moore Ramon, ed. Reliability in computing: The role of interval methods in scientific computing. Academic Press, 1988.

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9

Vladik, Kreinovich, University of Texas at El Paso. Institute for Manufacturing and Materials Management., and International Workshop on Applications of Interval Computations (1995 : El Paso, Tex.), eds. International journal of Reliable computing =: Formerly Interval computations. University of Texas at El Paso, Institute for Manufacturing and Materials Management, 1995.

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10

Van-Nam, Huynh, ed. Interval/probabilistic uncertainty and non-classical logics. Springer, 2008.

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11

Nguyen, Hung T. Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering. Springer-Verlag Berlin Heidelberg, 2012.

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12

Ont.) Workshop on Validated Computing (2002 Toronto. Workshop on Validated Computing: Toronto, Canada, May 23-25, 2002 : extended abstracts. Society for Industrial and Applied Mathematics, 2002.

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13

Vladik, Kreinovich, ed. Computational complexity and feasibility of data processing and interval computations. Kluwer Academic Publishers, 1998.

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14

United States. Internal Revenue Service. National agreement between Internal Revenue Service and National Treasury Employees Union: NC V : Service Center : Detroit Computing Center, Martinsburg Computing Center. U.S. Dept. of the Treasury, Internal Revenue Service, 1998.

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15

Davis, Shelley L. History of the Detroit Computing Center: Twenty-five years of service, 1965-1990. Dept. of the Treasury, Internal Revenue Service, 1991.

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16

United States. Dept. of the Treasury. Internal Revenue Service., ed. History of the Detroit Computing Center: Twenty-five years of service, 1965-1990. Dept. of the Treasury, Internal Revenue Service, 1991.

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17

Shim, Jae K. CFO fundamentals: Your quick guide to internal controls, financial reporting, IFRS, Web 2.0, cloud computing, and more. 4th ed. Wiley, 2012.

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18

United States. Internal Revenue Service. Welcome to-- Internal Revenue Service, Martinsburg Computing Center and National Information Systems Training Center, Martinsburg, West Virginia. Dept. of the Treasury, Internal Revenue Service, 1992.

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19

Andrew, Michael E. Methods for computing confidence intervals for spectral estimates in monthly reports of the California Coastal Data Information Program. Dept. of the Army, Waterways Experiment Station, Corps of Engineers, 1985.

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20

United States. Internal Revenue Service. Audit management information reporting system--AIMS/AMIR--(61170).: Program requirements for Detroit Computing Center : fiscal year 1990 (October 1989 thru September 1990). 9th ed. Dept. of the Treasury, Internal Revenue Service, 1989.

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21

Gertz, Michael. Integrity and Internal Control in Information Systems V: IFIP TC11 / WG11.5 Fifth Working Conference on Integrity and Internal Control in Information Systems (IICIS) November 11-12, 2002, Bonn, Germany. Springer US, 2003.

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22

United States. General Accounting Office., ed. Year 2000 computing crisis: Risk of serious disruption to essential government functions calls for agency action now : statement of Joel C. Willemssen, Director, Information Resources Management, Accounting and Information Management Division, before the National Commission on Restructuring the Internal Revenue Service. The Office, 1997.

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23

Lahti, Christian. Sarbanes-Oxley IT compliance using open source tools. 2nd ed. Syngress, 2007.

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24

Kreinovich, Vladik, R. Baker Kearfott, Chenyi Hu, and Andre de Korvin. Knowledge Processing with Interval and Soft Computing. Springer, 2010.

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25

Moore, Ramon E. Reliability in Computing: The Role of Interval Methods in Scientific Computing. Elsevier Science & Technology Books, 2014.

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26

Moore, Ramon E. Reliability in Computing: The Role of Interval Methods in Scientific Computing (Perspectives in Computing, Vol 19). Academic Pr, 1988.

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27

Moore, Ramon E. Reliability in Computing: The Role of Interval Methods in Scientific Computing (Perspectives in Computing, Vol 19). Academic Pr, 1988.

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28

Wang, Haibin. Interval Neutrosophic Sets and Logic: Theory and Applications in Computing. Hexis, 2005.

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29

Kreinovich, Vladik, Berlin Wu, and Hung T. Nguyen. Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering. Springer, 2012.

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30

Kreinovich, Vladik, Berlin Wu, Hung T. Nguyen, and Gang Xiang. Computing Statistics under Interval and Fuzzy Uncertainty: Applications to Computer Science and Engineering. Springer Berlin / Heidelberg, 2014.

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31

Interval / Probabilistic Uncertainty and Non-classical Logics (Advances in Intelligent and Soft Computing Book 46). Springer, 2008.

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32

Kreinovich, Vladik, Jiri Rohn, Anatoly Lakeyev, and Patrick Kahl. Computational Complexity and Feasibility of Data Processing and Interval Computations. Springer, 2010.

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33

Lakeyev, A. V., P. T. Kahl, J. Rohn, and V. Kreinovich. Computational Complexity and Feasibility of Data Processing and Interval Computations. Springer London, Limited, 2013.

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34

Rohn, J., V. Kreinovich, A. V. Lakeyev, and P. T. Kahl. Computational Complexity and Feasibility of Data Processing and Interval Computations (Applied Optimization). Springer, 1997.

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35

Kulisch, Ulrich, Rolf Hammer, Matthias Hocks, and Dietmar Ratz. C++ Toolbox for Verified Computing I: Basic Numerical Problems. Springer, 1997.

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36

Cloud Computing in Medical Imaging. CRC Press LLC, 2023.

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37

Cloud Computing in Medical Imaging. CRC Press LLC, 2023.

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38

Korotkevitch, Dmitri. Pro SQL Server Internals. Apress L. P., 2014.

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39

Microsoft SQL Server 2012 Internals. Microsoft Press, 2012.

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40

Delaney, Kalen, and Craig Freeman. Microsoft SQL Server 2012 Internals. Microsoft Press, 2013.

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41

Delaney, Kalen, and Craig Freeman. Microsoft SQL Server 2012 Internals. Microsoft Press, 2013.

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42

Korotkevitch, Dmitri. Pro SQL Server Internals. Apress, 2016.

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43

Kirkwood, John. Official Sybase Internals: Designing and Troubleshooting for High Performance. Itp New Media, 1997.

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44

Santos, Wellington Pinheiro dos, Washington Wagner Azevedo da Silva, and Maira Araujo de Santana. Biomedical Computing for Breast Cancer Detection and Diagnosis. IGI Global, 2020.

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45

Santos, Wellington Pinheiro dos, Washington Wagner Azevedo da Silva, and Maira Araujo de Santana. Biomedical Computing for Breast Cancer Detection and Diagnosis. IGI Global, 2020.

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46

OpenSPARC Internals: OpenSPARC T1/T2 CHIP MULTITHREADED THROUGHPUT COMPUTING. Lulu Press, Inc., 2008.

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47

Ee, Chong. Configuring Internal Controls for Software As a Service. Taylor & Francis Group, 2020.

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48

Wort, Steven, Christian Bolton, Justin Langford, James Rowland-Jones, and Brent Ozar. Professional SQL Server 2008 Internals and Troubleshooting. Wiley & Sons, Incorporated, John, 2010.

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49

Bolton, Christian, Justin Langford, Glenn Berry, James Rowland-Jones, and Gavin Payne. Professional SQL Server 2012 Internals and Troubleshooting. Wiley & Sons, Incorporated, John, 2012.

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50

Bolton, Christian, Justin Langford, Glenn Berry, Amit Banerjee, and Gavin Payne. Professional SQL Server 2012 Internals and Troubleshooting. Wiley & Sons, Incorporated, John, 2012.

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