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Books on the topic 'Numerical computation and mathematical software'

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Author: Grafiati
Published: 10 December 2022
Last updated: 19 February 2023

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1

Numerical computation: Methods, software, and analysis. Berlin: Springer, 1997.

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2

Borwein, Jonathan M. An Introduction to Modern Mathematical Computing: With Mathematica®. New York, NY: Springer New York, 2012.

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3

A short course in computational science and engineering: C++, Java, and Octave numerical programming with free software tools. New York: Cambridge University Press, 2012.

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4

(Firm), Numerical Recipes Software, ed. Numerical recipes: Routines and examples in BASIC. Cambridge [England]: Cambridge University Press, 1991.

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5

Paul, Hovland, Phipps Eric, Utke Jean, Walther Andrea, and SpringerLink (Online service), eds. Recent Advances in Algorithmic Differentiation. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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6

Borwein, Jonathan M. An Introduction to Modern Mathematical Computing: With Maple™. New York, NY: Springer Science+Business Media, LLC, 2011.

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7

Kambiz, Salari, ed. Verification of computer codes in computational science and engineering. Boca Raton, Fla: Chapman & Hall/CRC Press, 2003.

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8

Nanfara, Frank. The CNC workshop: A multimedia introduction to computer numerical control. Reading, MA: Addison-Wesley, 1999.

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9

David, Hutchison. Numerical Analysis and Its Applications: 4th International Conference, NAA 2008, Lozenetz, Bulgaria, June 16-20, 2008. Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009.

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10

1945-, Fitch John, ed. Design and implementation of symbolic computation systems: International Symposium, DISCO '92, Bath, U.K., April 13-15, 1992 : proceedings. Berlin: Springer-Verlag, 1993.

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11

Nanfara, Frank. The CNC workshop: A multimedia introduction to computer numerical control, version 2.0. Upper Saddle River, NJ: Prentice Hall, 2002.

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12

Ján, Buša, Hnatič Michal, and SpringerLink (Online service), eds. Mathematical Modeling and Computational Science: International Conference, MMCP 2011, Stará Lesná, Slovakia, July 4-8, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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13

Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C. The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models. Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".
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14

Carl, Laird, Watson Jean-Paul, Woodruff David L, and SpringerLink (Online service), eds. Pyomo – Optimization Modeling in Python. Boston, MA: Springer US, 2012.

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15

Polychronopoulos, Constantine, Kazuki Joe Akira Fukuda, and Shinji Tomita. High Performance Computing: Second International Symposium, ISHPC'99 Kyoto, Japan, May 26-28, 1999 Proceedings. Berlin: Springer-Verlag, 1999.

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16

Numerical computation of compressible and viscous flow. Reston, Virginia: American Institute of Aeronautics and Astronautics, Inc., 2014.

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17

Numerical computation in science and engineering. New York: Oxford University Press, 1998.

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18

Numerical computation in science and engineering. 2nd ed. New York: Oxford University Press, 2008.

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19

Pozrikidis, C. Numerical computation in science and engineering. 2nd ed. New York: Oxford University Press, 2008.

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20

Thisted, Ronald A. Elements of statistical computing: Numerical computation. New York: Chapman and Hall, 1988.

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21

Jérôme, Leroux, Potapov Igor, and SpringerLink (Online service), eds. Reachability Problems: 6th International Workshop, RP 2012, Bordeaux, France, September 17-19, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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22

1931-, Waśniewski Jerzy, ed. Applied parallel computing: Industrial-strength computation and optimization : Third International Workshop, PARA ʼ96, Lyngby, Denmark, August 18-21, 1996 : proceedings. Berlin: Springer, 1996.

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23

(Firm), Knovel, and SpringerLink (Online service), eds. Fluid dynamics: Theory, computation, and numerical simulation. 2nd ed. New York: Springer, 2009.

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24

Hirsch, Ch. Numerical computation of internal and external flows. Chichester: Wiley, 1990.

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25

Hirsch, Ch. Numerical computation of internal and external flows. Chichester [England]: Wiley, 1988.

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26

Gunther, Brenner, Emerson David R, Erhel Jocelyne, and SpringerLink (Online service), eds. Parallel Computational Fluid Dynamics 2008: Parallel Numerical Methods, Software Development and Applications. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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27

NATO Advanced Research Workshop on Numerical Integration: Recent Developments, Software, and Applications (1991 Bergen, Norway). Numerical integration: Recent developments, software, and applications. Dordrecht: Kluwer Academic, 1992.

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28

Ivaányi, Amália. Magnetic field computation with R-functions. Budapest: Akadémiai Kiadó, 1998.

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29

W, Rienstra S., and Thije Boonkkamp, J. H. M. ten., eds. Partial differential equations: Modeling, analysis, computation. Philadelphia: Society for Industrial and Applied Mathematics, 2005.

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30

1960-, Wright Stephen J., ed. Optimization software guide. Philadelphia: Society for Industrial and Applied Mathematics, 1993.

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31

Fibich, Gadi. Computation of nonlinear backscattering using a high-order numerical method. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2001.

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32

Hirsch, Ch. Numerical computation of internal and external flows: Fundamentals of computational fluid dynamics. 2nd ed. Oxford: Elsevier/Butterworth-Heinemann, 2007.

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33

Pozrikidis, C. Fluid dynamics: Theory, computation, and numerical simulation : accompanied by the software library FDLIB. Boston: Kluwer Academic Publishers, 2001.

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34

Numerical computation of internal and external flows: Fundamentals of computational fluid dynamics. 2nd ed. Oxford: Elsevier/Butterworth-Heinemann, 2007.

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35

Ramnath, Rudrapatna V. Computation and Asymptotics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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36

Marc, Schoenauer, and SpringerLink (Online service), eds. Learning and Intelligent Optimization: 6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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37

Ray, Debabrata. Computation of nonlinear structures: Extremely large elements for frames, plates and shells. Chichester, UK: John Wiley & Sons, 2015.

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38

Klaus, Jansen, Rolim José D. P, Servedio Rocco, and SpringerLink (Online service), eds. Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques: 15th International Workshop, APPROX 2012, and 16th International Workshop, RANDOM 2012, Cambridge, MA, USA, August 15-17, 2012. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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39

Cheng, Yumin, ed. Numerical Computation, Data Analysis and Software in Mathematics and Engineering. MDPI, 2022. http://dx.doi.org/10.3390/books978-3-0365-4778-7.

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40

Borwein, Jonathan M., and Matthew P. Skerritt. An Introduction to Modern Mathematical Computing: With Mathematica®. Springer, 2012.

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41

Belmonte, Art, David Barrow, Jack Bryant, Tom Kiffe, and Albert Boggess. Solving ODEs With Maple V (Brooks/Cole Symbolic Computation Series). Brooks Cole, 1997.

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42

Yevick, David. Short Course in Computational Science and Engineering: C++, Java and Octave Numerical Programming with Free Software Tools. Cambridge University Press, 2012.

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43

Yevick, David. Short Course in Computational Science and Engineering: C++, Java and Octave Numerical Programming with Free Software Tools. Cambridge University Press, 2012.

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44

Yevick, David. Short Course in Computational Science and Engineering: C++, Java and Octave Numerical Programming with Free Software Tools. Cambridge University Press, 2012.

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45

Yevick, David. Short Course in Computational Science and Engineering: C++, Java and Octave Numerical Programming with Free Software Tools. Cambridge University Press, 2012.

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46

H, Press William, ed. Numerical recipes: The art of scientific computing. New York: Cambridge University Press, 2007.

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47

Hermanson, Roger H. Accounting: A Business Perspective/Includes Booklet. 6th ed. Richard D Irwin, 1996.

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48

PRESS, WILLIAM H., Brian P. Flannery, Saul A. Teukolsky, and William T. Vetterling. Numerical Recipes 3rd Edition: The Art of Scientific Computing. 3rd ed. Cambridge University Press, 2007.

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49

Forth, Shaun, Paul Hovland, Eric Phipps, Jean Utke, and Andrea Walther. Recent Advances in Algorithmic Differentiation. Springer, 2014.

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50

Forth, Shaun, Paul Hovland, and Eric Phipps. Recent Advances in Algorithmic Differentiation. Springer, 2012.

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