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Books on the topic 'Linearization of the mathematical model'

Author: Grafiati

Published: 30 May 2022

Last updated: 19 July 2025

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1

Antoniewicz, Robert F. User's manual for interactive LINEAR, a FORTRAN program to derive linear aircraft models. Ames Research Center, 1988.

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2

L, Duke Eugene, Patterson Brian P, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. User's manual for interactive LINEAR, a FORTRAN program to derive linear aircraft models. National Aeronautics and Space Administration, Scientific and Technical Information Division, 1989.

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3

A, Muravyov Alexander, and Langley Research Center, eds. Equivalent linearization analysis of geometrically nonlinear random vibrations using commercial finite element codes. National Aeronautics and Space Administration, Langley Research Center, 2002.

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4

Pshenichnyj, Boris N. The Linearization Method for Constrained Optimization. Springer Berlin Heidelberg, 1994.

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5

1964-, Hartley T. T., and United States. National Aeronautics and Space Administration., eds. A method for generating reduced order linear models of supersonic inlets: Under grant NAG3-1450. National Aeronautics and Space Administration, 1997.

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6

W, Zucchini, ed. Model selection. Wiley, 1986.

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7

Prestel, Alexander, and Charles N. Delzell. Mathematical Logic and Model Theory. Springer London, 2011. http://dx.doi.org/10.1007/978-1-4471-2176-3.

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8

Bateman, J. E. Surface exafs: A mathematical model. Rutherford Appleton Laboratory, 2000.

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9

Williams, H. P. Model building in mathematical programming. 3rd ed. Wiley, 1990.

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10

Williams, H. P. Model building in mathematical programming. 5th ed. Wiley, 2013.

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11

Williams, H. P. Model solving in mathematical programming. J. Wiley, 1993.

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12

Sherali, Hanif D. A reformulation-linearization technique for solving discrete and continuous nonconvex problems. Kluwer Academic, 1998.

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13

Sherali, Hanif D. A Reformulation-Linearization Technique for Solving Discrete and Continuous Nonconvex Problems. Springer US, 1999.

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14

Ivanov, Viktor Vladimirovich. Model development and optimization. Kluwer Academic Publishers, 1999.

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15

Larsen, Ryan J. New developments in the standard model. Nova Science Publishers, 2011.

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16

Geological Survey (U.S.), ed. Linear Q model calculations. U.S. Dept. of the Interior, Geological Survey, 1985.

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17

Armstrong, T. W. Trapped radiation model uncertainties: Model, data and model, model comparisons. National Aeronautics and Space Administration, Marshall Space Flight Center, 2000.

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18

Lamson, S. T. Tie life model. Canadian Institute of Guided Ground Transport, Queen's University, 1985.

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19

Krugman, Paul R. A dynamic spatial model. National Bureau of Economic Research, 1992.

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20

M, McCann Catherine, and Langley Research Center, eds. Reliability model generator specification. National Aeronautics and Space Administration, Langley Research Center, 1990.

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21

Lopez, Michael. A Japanese grains model. U.S. Dept. of Agriculture, Economic Research Service, International Economics Division, 1986.

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22

Jungeilges, Jochen A. The robustness of model selection rules. Lit, 1992.

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23

Wallace, Stein W., ed. Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-83724-1.

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24

Bernhard, Pierre, Jacob C. Engwerda, Berend Roorda, et al. The Interval Market Model in Mathematical Finance. Springer New York, 2013. http://dx.doi.org/10.1007/978-0-8176-8388-7.

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25

1956-, Wallace Stein W., and North Atlantic Treaty Organization. Scientific Affairs Division., eds. Algorithms and model formulations in mathematical programming. Springer-Verlag, 1989.

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26

Strelkoff, Theodor. BRDRFLW: A mathematical model of border irrigation. U.S. Dept. of Agriculture, Agricultural Research Service, 1985.

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27

Henderson, Peter C. A mathematical model of a storage heater. The Author], 1995.

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28

Wallace, Stein W. Algorithms and Model Formulations in Mathematical Programming. Springer Berlin Heidelberg, 1989.

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29

Kremling, Andreas. Systems biology: Mathematical modeling and model analysis. CRC Press, 2014.

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30

Strelkoff, Theodor. BRDRFLW: A mathematical model of border irrigation. U.S. Dept. of Agriculture, Agricultural Research Service, 1985.

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31

Cheung, Yun-Hsing. A simple mathematical model of lottery play. Edith Cowan University, Faculty of Business, School of Finance and Business Economics, 1996.

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32

Pyötsiä, Jouni. A mathematical model of a control valve. Teknillinen korkeakoulu, 1991.

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33

Pullinger, Hugh. The criminal justice system model: The flow model. Home Office, 1985.

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34

Epstein, Joshua M. Mathematical Model. Princeton University Press, 2017. http://dx.doi.org/10.23943/princeton/9780691158884.003.0002.

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Abstract:

This part of the book describes explicit mathematical models for the affective, cognitive, and social components of Agent_Zero. It first considers some underlying neuroscience of fear and the role of the amygdala before turning to Rescorla–Wagner equations of conditioning. In particular, it explains how the fear circuit can be activated and how fear conditioning can occur unconsciously. It then reviews some standard nomenclature adopted by Ivan Pavlov in his study, Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex, with emphasis on David Hume's “association of ideas,” the theory of conditioning, and the Rescorla–Wagner model. After examining “the passions,” the discussion focuses on reason, Agent_Zero's cognitive component, and the model's social component. The central case is that the agent initiates the group's behavior despite starting with the lowest disposition, with no initial emotional inclination, no evidence, the same threshold as all others, and no orders from above.

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35

Linearization Methods for Stochastic Dynamic Systems. Springer, 2008.

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36

Burnham, Kenneth P., and David Anderson. Model Selection and Multi-Model Inference. Springer, 2003.

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37

Stability by Linearization of Einsteins Field Equation Progress in Mathematical Physics. Birkhauser Basel, 2010.

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38

Model choice and model aggregation. Editions Technip, 2017.

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39

Model selection and model averaging. Cambridge university press, 2008.

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40

Hopfield Model. World Scientific Pub Co, 1990.

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41

Model Building in Mathematical Programming. Wiley & Sons, Limited, John, 2020.

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42

Model solving in mathematical programming. Wiley, 1993.

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43

Model building in mathematical programming. 2nd ed. Wiley, 1985.

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44

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2013.

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45

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2013.

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46

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2015.

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47

Williams, H. P. Model Building in Mathematical Programming. 4th ed. Wiley, 1999.

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48

Williams, H. Paul. Model Building in Mathematical Programming. Wiley & Sons, Incorporated, John, 2022.

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49

Model building in mathematical programming. 3rd ed. Wiley, 1993.

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50

Model building in mathematical programming. 4th ed. Wiley, 1999.

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