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Books on the topic 'Modeling the formation density'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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1

Holzbecher, Ekkehard O. Modeling Density-Driven Flow in Porous Media. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58767-2.

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2

Deutsch, Andreas, and Sabine Dormann. Cellular Automaton Modeling of Biological Pattern Formation. Birkhäuser Boston, 2017. http://dx.doi.org/10.1007/978-1-4899-7980-3.

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3

Holzbecher, Ekkehard O. Modeling density-driven flow in porous media: Principles, numerics, software. Springer, 1998.

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4

Zeilhofer, Claudia. Multi-dimensional B-spline modeling of spatio-temporal ionospheric signals. Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, 2008.

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5

Kaashoek, J. F. Modeling one dimensional pattern formation by anti-diffusion. Centrum voor Wiskunde en Informatica =, 1990.

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6

Korshin, Gregory V. Modeling DBP formation kinetics: Mechanistic and spectroscopic approaches. AWWA Research Foundation, 2004.

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7

Memarzadeh, Y. Ionospheric modeling for precise GNSS applications. Nederlandse Commissie voor Geodesie = Netherlands Geodetic Commission, 2009.

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8

Memarzadeh, Y. Ionospheric modeling for precise GNSS applications. NCG, Nederlandse Commissie voor Geodesie, 2009.

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9

Yin, Hezhu. Application of resistivity-tool-response modeling for formation evaluation. American Association of Petroleum Geologists, 2011.

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10

Kulkarni, Mihir Sanjay. Modeling the formation, evolution, and observation of first stars. [publisher not identified], 2021.

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11

David, Moore. Results of detailed modeling of the narrow-line region of Seyfert galaxies. National Aeronautics and Space Administration, 1996.

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12

Duen, Ho Fat, and United States. National Aeronautics and Space Administration., eds. Modeling of metal-ferroelectric-semiconductor field effect transistors. National Aeronautics and Space Administration, 1998.

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13

Duen, Ho Fat, and United States. National Aeronautics and Space Administration., eds. Modeling of metal-ferroelectric-semiconductor field effect transistors. National Aeronautics and Space Administration, 1998.

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14

Ni, Bing-Jie. Formation, characterization and mathematical modeling of the aerobic granular sludge. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31281-6.

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15

Parkinson, Eric A. Impaired school formation at low density: A mechanism for depensatory mortality in sockeye salmon. Ministry of Environment, Lands, and Parks, Fisheries Branch, Fisheries Research and Development Section, 1990.

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16

1959-, Maas U., and Dibble Robert W, eds. Combustion: Physical and chemical fundamentals, modeling and simulation, experiments, pollutant formation. 2nd ed. Springer, 1999.

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17

Warnatz, Jürgen. Combustion: Physical and Chemical Fundamentals, Modeling and Simulation, Experiments, Pollutant Formation. 3rd ed. Springer Berlin Heidelberg, 2001.

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18

Sterman, John. Modeling the formation of expectations: The history of energy demand forecasts. Sloan School of Management, Massachusetts Institute of Technology, 1986.

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19

Deutsch, Andreas. Cellular automaton modeling of biological pattern formation: Characterization, applications, and analysis. Birkhauser, 2004.

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20

Warnatz, Jürgen. Combustion: Physical and Chemical Fundamentals, Modeling and Simulation, Experiments, Pollutant Formation. Springer Berlin Heidelberg, 1999.

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21

Sabine, Dormann, ed. Cellular automaton modeling of biological pattern formation: Characterization, applications, and analysis. Birkhäuser, 2005.

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22

W, Schmoker J., and Geological Survey (U.S.), eds. Determination of organic content from formation-density logs, Devonian-Mississippian Woodford Shale, Anadarko Basin, Oklahoma. Dept. of the Interior, U.S. Geological Survey, 1987.

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23

United States. National Aeronautics and Space Administration., ed. Asteroid entry in Venusian atmosphere: Pressure and density fields effect on crater formation : final report. Boeing Defense & Space Group, 1995.

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24

Sialm, Gion. VCSEL modeling and CMOS transmitters up to 40 Gb/s for high-density optical links. Hartung-Gorre, 2007.

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25

S, Bidwell Colin, and United States. National Aeronautics and Space Administration., eds. Swept wing ice accretion modeling. NASA, 1990.

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26

Li, Tong, Greenberg Paul S, and United States. National Aeronautics and Space Administration., eds. Measurements and modeling of soot formation and radiation in microgravity jet diffusion flames. National Aeronautics and Space Administration, 1996.

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27

Li, Tong, Greenberg Paul S, and United States. National Aeronautics and Space Administration., eds. Measurements and modeling of soot formation and radiation in microgravity jet diffusion flames. National Aeronautics and Space Administration, 1996.

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28

M, Laurendeau Normand, and NASA Glenn Research Center, eds. Measurements and modeling of nitric oxide formation in counterflow, premixed CH₄/O₂/N₂ flames. National Aeronautics and Space Administration, Glenn Research Center, 2000.

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29

M, Laurendeau Normand, and NASA Glenn Research Center, eds. Measurements and modeling of nitric oxide formation in counterflow, premixed CH₄/O₂/N₂ flames. National Aeronautics and Space Administration, Glenn Research Center, 2000.

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30

United States. National Aeronautics and Space Administration., ed. Semi-annual report on NASA grant NAGW5-1097: MIAMI, modeling of the magnetosphere-ionosphere-atmosphere system, 1 November 1996 to 31 March 1997. National Aeronautics and Space Administration, 1997.

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31

L, Clarke Thomas, and Atlantic Oceanographic and Meteorological Laboratories, eds. Joint CGS-AOML acoustical bottom echo-formation research I: Literature search and initial modeling results. United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1988.

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32

Watson, Montgomery. Mathematical modeling of the formation of THMs and HAAs in chlorinated natural waters, final report. Water Industry Technical Action Fund, American Water Works Association, 1993.

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33

L, Clarke Thomas, and Atlantic Oceanographic and Meteorological Laboratories, eds. Joint CGS-AOML acoustical bottom echo-formation research I: Literature search and initial modeling results. United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1988.

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34

L, Clarke Thomas, and Atlantic Oceanographic and Meteorological Laboratories., eds. Joint CGS-AOML acoustical bottom echo-formation research I: Literature search and initial modeling results. United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1988.

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35

L, Clarke Thomas, and Atlantic Oceanographic and Meteorological Laboratories., eds. Joint CGS-AOML acoustical bottom echo-formation research I: Literature search and initial modeling results. United States Department of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Atlantic Oceanographic and Meteorological Laboratory, 1988.

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36

Rodrigo, Ibanez-Meier, Ferrante John 1936-, and United States. National Aeronautics and Space Administration., eds. Growth of Au on Ni(110): A semiempirical modeling of surface alloy phases. National Aeronautics and Space Administration, 1995.

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37

Davis, M. H. Upper and middle atmospheric density modeling requirements for spacecraft design and operations: Proceedings of a workshop held in Huntsville, Alabama, November 19-21, 1985. Marshall Space Flight Center, 1987.

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38

M, Yager Richard, ed. Brine migration from a flooded salt mine in Livingston County, New York: Geochemical modeling and simulation of variable-density flow. U.S. Geological Survey, 2009.

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39

M, Yager Richard, ed. Brine migration from a flooded salt mine in Livingston County, New York: Geochemical modeling and simulation of variable-density flow. U.S. Geological Survey, 2009.

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40

M, Yager Richard, ed. Brine migration from a flooded salt mine in Livingston County, New York: Geochemical modeling and simulation of variable-density flow. U.S. Geological Survey, 2009.

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41

Japan) RIMS Workshop on "Pattern Formation Problems in Dissipative Systems" and "Mathematical Modeling and Analysis for Nonlinear Phenomena" (2007 Kyoto. Workshops on "pattern formation problems in dissipative systems" and "mathematical modeling and analysis for nonlinear phenomena.". Research Institute for Mathematical Sciences, Kyoto University, 2007.

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42

Rodrigo, Ibanez-Meier, Ferrante John 1936-, and United States. National Aeronautics and Space Administration., eds. Growth of Au on Ni(110): A semiempirical modeling of surface alloy phases. National Aeronautics and Space Administration, 1995.

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43

Coleman, James L. The Jackfork Formation of Arkansas: A test for the Walker-Mutti-Vail models for deep-sea fan deposition. State of Arkansas, Arkansas Geological Commission, 1994.

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44

1951-, Bryant Ray Baldwin, Arnold R. W, Soil Science Society of America. Division S-5., and Soil Science Society of America. Division S-9., eds. Quantitative modeling of soil forming processes: Proceedings of a symposium sponsored by Divisions S-5 and S-9 of the Soil Science Society of America in Minneapolis, Minnesota, 2 Nov. 1992. SSSA, 1994.

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45

Bluemke, David A. Study of deoxyhemoglobin S polymers using electron density modeling. 1987.

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46

Cellular Automaton Modeling of Biological Pattern Formation. Birkhäuser Boston, 2005. http://dx.doi.org/10.1007/b138451.

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47

Deutsch, Andreas, and Sabine Dormann. Cellular Automaton Modeling of Biological Pattern Formation. Birkhäuser Boston, 2004.

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48

West, Jason Allen. Modeling primordial germ cell formation In Vitro. 2009.

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49

Thornbur, Fitch Theodore. Influence of Density of Gas on the Formation of Corona. Creative Media Partners, LLC, 2022.

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50

Thornbur, Fitch Theodore. Influence of Density of Gas on the Formation of Corona. Creative Media Partners, LLC, 2022.

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