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1

Deterministic aspects in mathematical demography. Berlin: Springer-Verlag, 1985.

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2

Bischi, Gian Italo. Sulle orme del caos: Comportamenti complessi in modelli matematici semplici. Milano: B. Mondadori, 2004.

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3

1940-, Radcliffe John, ed. Spatial deterministic epidemics. Providence, R.I: American Mathematical Society, 2003.

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4

Janssen, Jacques. Mathematical fianance: Deterministic and stochastic models. Hoboken, N.J: ISTE/John Wiley, 2008.

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5

Janssen, Jacques. Mathematical fianance: Deterministic and stochastic models. Hoboken, N.J: ISTE/John Wiley, 2008.

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6

Ladislav, Krlín, ed. Deterministický chaos a matematické modely turbulence. Praha: Academia, 1996.

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7

Deterministic lotsizing models for production planning. Berlin: Springer-Verlag, 1991.

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8

Hong, Sung-Min. Deterministic solvers for the Boltzmann transport equation. Wein: Springer, 2011.

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9

Hendricks, Elbert. Linear systems control: Deterministic and stochastic methods. Berlin: Springer, 2008.

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10

E, Jannerup O., and Sørensen Paul H, eds. Linear systems control: Deterministic and stochastic methods. Berlin: Springer, 2008.

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11

James, Dooge, and O'Kane J. P. 1943-, eds. Deterministic methods in systems hydrology. Lisse: Balkema, 2003.

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12

Dooge, James. Deterministic methods in systems hydrology. Lisse: Balkema, 2003.

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13

Lecca, Paola. Deterministic versus stochastic modelling in biochemistry and systems biology. Cambridge, UK: Woodhead Pub., 2013.

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14

Center, NASA Glenn Research, ed. A deterministic interfacial cyclic oxidation spalling model. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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15

Center, NASA Glenn Research, ed. A deterministic interfacial cyclic oxidation spalling model. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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16

United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., ed. Further developments in exact state reconstruction in deterministic digital control systems. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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17

Polites, Michael E. Further developments in exact state reconstruction in deterministic digital control systems. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Division, 1988.

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18

L, Guymon Gary, Inyo County (Calif ), Los Angeles (Calif.) Dept. of Water and Power, and Geological Survey (U.S.), eds. An efficient deterministic-probabilistic approach to modeling regional ground-water flow: Theory. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1988.

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19

Cheung, Yin-Wong. Deterministic, stockhastic [sic], and segmented trends in aggregate output: A cross-countryanalysis. Kowloon, Hong Kong: City University of Hong Kong, Department of Economics and Finance, 1995.

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20

J, Tóth, ed. Mathematical models of chemical reactions: Theory and applications of deterministic and stochastic models. Manchester: Manchester University Press, 1989.

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21

Impagliazzo, John. Deterministic aspects of mathematical demography: An investigation of the stable theory of population including an analysis of the population statistics of Denmark. Berlin: Springer-Verlag, 1985.

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22

Optimal design of control systems: Stochastic and deterministic problems. New York: M. Dekker, 1999.

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23

Y, Tan W. Deterministic and stochastic models of AIDS epidemics and HIV infections with intervention. Singapore: World Scientific, 2005.

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24

Finkelman, Robert B. Development and evaluation of deterministic models for predicting the weight of fouling deposits from coal combustion. Reston, VA: U.S. Geological Survey, 1989.

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25

Mischenko, Aleksandr, and Anastasiya Ivanova. Optimization models for managing limited resources in logistics. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1082948.

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In the proposed monograph, optimization models for managing limited resources in logical systems are considered. Such systems are primarily used by industrial enterprises, transport companies and trade organizations, including those that carry out wholesale activities. As a rule, the efficiency of these objects largely depends on how rational use of limited resources such as: consumer camera business, labor, vehicles, etc. In this paper, various approaches to managing such resources are considered both for deterministic models and for the situation when a number of model parameters are not specified exactly, that is, for stochastic models. In this case, it is proposed to evaluate the stability of models to the occurrence of various types of risk events, both by the structure of the solution and by the functionality. It is addressed to senior students, postgraduates and masters studying in the specialty "Management" and "Logistics", as well as specialists in the field of logistics systems modeling.
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26

Guymon, Gary L. An efficient deterministic-probabilistic approach to modeling regional ground-water flow: Application to Owens Valley, California. Denver, Colo: Dept. of the Interior, U.S. Geological Survey, 1988.

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27

Choudhari, Meelan. Boundary-layer receptivity due to distributed surface imperfections of a deterministic or random nature. Washington, D.C: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1992.

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28

Péter, Érdi. Mathematical models of chemical reactions: Theory and applications of deterministic and stochastic models. Princeton, N.J: Princeton University Press, 1989.

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29

A, Maller Ross, ed. Mathematical ecology of plant species competition: A class of deterministic models for binary mixtures of plant genotypes. Cambridge [England]: Cambridge University Press, 1990.

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30

Mobile fading channels. Chichester, West Sussex, England: John Wiley, 2002.

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31

Mishchenko, Aleksandr, and Elena Miheeva. Methods of assessment of efficiency of management of production and financial activity of the enterprise. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/monography_5d1ae60d82d6d9.87533425.

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The proposed book describes the static and dynamic models of optimization of production and financial activities of the enterprise in the conditions of deterministic source data, and taking into account the uncertainty and risk. In the latter case, when choosing a management decision, not only the amount of expected profit, but also various types of risks, as well as such an indicator as the stability of the selected option of production and economic activity to changes in the market environment, are taken into account.
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32

Babeshko, Lyudmila, and Irina Orlova. Econometrics and econometric modeling in Excel and R. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1079837.

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The textbook includes topics of modern econometrics, often used in economic research. Some aspects of multiple regression models related to the problem of multicollinearity and models with a discrete dependent variable are considered, including methods for their estimation, analysis, and application. A significant place is given to the analysis of models of one-dimensional and multidimensional time series. Modern ideas about the deterministic and stochastic nature of the trend are considered. Methods of statistical identification of the trend type are studied. Attention is paid to the evaluation, analysis, and practical implementation of Box — Jenkins stationary time series models, as well as multidimensional time series models: vector autoregressive models and vector error correction models. It includes basic econometric models for panel data that have been widely used in recent decades, as well as formal tests for selecting models based on their hierarchical structure. Each section provides examples of evaluating, analyzing, and testing models in the R software environment. Meets the requirements of the Federal state educational standards of higher education of the latest generation. It is addressed to master's students studying in the Field of Economics, the curriculum of which includes the disciplines Econometrics (advanced course)", "Econometric modeling", "Econometric research", and graduate students."
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33

Agency, OECD Nuclear Energy, and Radiation Safety Information Computational Centre, eds. 3-D deterministic radiation transport computer programs: Features, applications and perspectives, 2-3 December 1996, OECD Château de la Muette, Paris, France. Paris: Nuclear Energy Agency, Organisation for Economic Do-operation and Development, 1997.

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34

R, Gardner Wilford, Schulz R. K, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Regulatory Applications., and University of California, Berkeley. Dept. of Environmental Science, Policy, and Management., eds. Spherical diffusion of tritium from a point of release in a uniform unsaturated soil: A deterministic model for tritium migration in an arid disposal site. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1993.

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35

R, Gardner Wilford, Schulz R. K, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Regulatory Applications., and University of California, Berkeley. Dept. of Environmental Science, Policy, and Management., eds. Spherical diffusion of tritium from a point of release in a uniform unsaturated soil: A deterministic model for tritium migration in an arid disposal site. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1993.

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36

G, Aletti, Burger Martin, Micheletti P. A. 1951-, Morale Daniela, and Capasso Vincenzo 1945-, eds. Math everywhere: Deterministic and stochastic modelling in biomedicine, economics and industry ; dedicated to the 60th birthday of Vincenzo Capasso. Berlin: Springer, 2007.

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37

R, Gardner Wilford, Schulz R. K, U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Regulatory Applications., and University of California, Berkeley. Dept. of Soil Science., eds. Three dimensional redistributions of tritium from a point of release into a uniform unsaturated soil: A deterministic model for tritium migration in an arid disposal site. Washington, DC: Division of Regulatory Applications, Office of Nuclear Regulatory Research, U.S. Nuclear Regulatory Commission, 1993.

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38

Kolpakov, Vasiliy. Economic and mathematical and econometric modeling: Computer workshop. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/24417.

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The textbook presents mathematical research methods and models of economic objects and processes designed for the analysis and prediction of economic factors and develop control solutions as in the deterministic conditions, and in conditions of some uncertainty, and dynamics. Each Chapter of the book consists of a theoretical framework, discussed in detail several examples and tasks for independent work. As workbench simulation uses standard office the program Excel and Mathcad. Tutorial focused on independent performance of students individual tasks on disciplines "Economic-mathematical methods" and "Econometrics". Meets the requirements of Federal state educational standard of higher education of the last generation. The publication is intended for students and postgraduate students in economic disciplines. It can also be useful as they perform final qualifying works. The book will be useful for practitioners engaged in the analysis of the current financial and economic condition and future development of firms and businesses.
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39

Janssen, Jacques, Raimondo Manca, and Ernesto Volpe. Mathematical Finance: Deterministic and Stochastic Models. Wiley & Sons, Incorporated, John, 2013.

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40

Janssen, Jacques, Raimondo Manca, and Ernesto Volpe. Mathematical Finance: Deterministic and Stochastic Models. Wiley & Sons, Incorporated, John, 2010.

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41

Janssen, Jacques, Raimondo Manca, and Ernesto Volpe. Mathematical Finance: Deterministic and Stochastic Models. Wiley & Sons, Incorporated, John, 2013.

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42

Rudnicki, Ryszard, and Marta Tyran-Kamińska. Piecewise Deterministic Processes in Biological Models. Springer, 2017.

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43

Jungemann, Christoph, Sung-Min Hong, and Anh-Tuan Pham. Deterministic Solvers for the Boltzmann Transport Equation. Springer, 2013.

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44

Jungemann, Christoph, Sung-Min Hong, and Anh-Tuan Pham. Deterministic Solvers for the Boltzmann Transport Equation. Springer Wien, 2011.

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45

Jannerup, Ole, Paul Haase Sørensen, and Elbert Hendricks. Linear Systems Control: Deterministic and Stochastic Methods. Springer Berlin / Heidelberg, 2010.

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46

Jordan, Ferenc, Paola Lecca, and Ian Laurenzi. Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology. Elsevier Science & Technology, 2013.

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47

Sorger, Gerhard. Dynamic Economic Analysis: Deterministic Models in Discrete Time. Cambridge University Press, 2018.

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48

Dynamic Economic Analysis: Deterministic Models in Discrete Time. Cambridge University Press, 2015.

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49

Sorger, Gerhard. Dynamic Economic Analysis: Deterministic Models in Discrete Time. Cambridge University Press, 2015.

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50

Sorger, Gerhard. Dynamic Economic Analysis: Deterministic Models in Discrete Time. University of Cambridge ESOL Examinations, 2015.

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