Livros sobre o tema "Processus modeling"

Nelson, Randolph. Probability, stochastic processes, and queueing theory: The mathematics of computer performance modeling. New York: Springer-Verlag, 1995.

King, Alan J. Modeling with Stochastic Programming. New York, NY: Springer New York, 2012.

Birolini, Alessandro. On the use of stochastic processes in modeling reliability problems. Berlin: Springer-Verlag, 1985.

Gunter, Bolch, ed. Queueing networks and Markov chains: Modeling and performance evaluation with computer science applications. New York: Wiley, 1998.

Gigch, John P. Van. System design modeling and metamodeling. New York: Plenum Press, 1991.

Bequette, B. Wayne. Process dynamics: Modeling, analysis, and simulation. Upper Saddle River, N.J: Prentice Hall PTR, 1998.

Georgiadis, Michael C., Julio R. Banga e Efstratios N. Pistikopoulos. Dynamic process modeling. Weinheim: Wiley-VCH, 2011.

B, Gershwin S., ed. Analysis and modeling of manufacturing systems. Boston: Kluwer Academic Publishers, 2003.

Bill, Chu Bei-Tseng, e Chen Su-shing, eds. Intelligent modeling, diagnosis and control of manufacturing processes. Singapore: World Scientific, 1992.

Gershwin, Stanley B. Analysis and Modeling of Manufacturing Systems. Boston, MA: Springer US, 2003.

Denn, Morton M. Process modeling. New York: Longman, 1986.

Denn, Morton M. Process modeling. Harlow: Longman Scientific & Technical, 1987.

Iguchi, Manabu, e Olusegun J. Ilegbusi. Modeling Multiphase Materials Processes. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7479-2.

King, Chi-Yu, e Roberto Scarpa, eds. Modeling of Volcanic Processes. Wiesbaden: Vieweg+Teubner Verlag, 1988. http://dx.doi.org/10.1007/978-3-322-89414-4.

Chi-Yu, King, e Scarpa Roberto, eds. Modeling of volcanic processes. Braunschweig: F. Vieweg, 1988.

Mazumdar, Dipak. Modeling of steelmaking processes. Boca Raton: Taylor & Francis, 2010.

R, Wilson Gordon, George C. Marshall Space Flight Center. Space Sciences Laboratory., University of Alabama in Huntsville. Center for Space Plasma and Aeronomic Research., University of Alabama in Huntsville. Division of Continuing Education. e Huntsville Workshop on Magnetosphere/Ionosphere Plasma Models (2nd : 1989 : University of Alabama in Huntsville), eds. Modeling magnetospheric plasma processes. Washington, DC: American Geophysical Union, 1991.

Ramón, Gutiérrez, e Valderrama Mariano J, eds. Selected topics on stochastic modelling. Singapore: World Scientific, 1994.

Luyben, William L. Process modeling, simulation, and control for chemical engineers. 2^a ed. New York: McGraw-Hill, 1990.

Tiefelsdorf, Michael, ed. Modelling Spatial Processes. Berlin/Heidelberg: Springer-Verlag, 2000. http://dx.doi.org/10.1007/bfb0048754.

Dyke, P. P. G. Modelling marine processes. London: Prentice Hall, 1996.

Ibe, Oliver C. Markov processes for stochastic modeling. Amsterdam: Academic Press, 2009.

Kijima, Masaaki. Markov processes for stochastic modeling. London: Chapman & Hall, 1997.

Nelson, Barry L. Stochastic modeling: Analysis & simulation. Mineloa, N.Y: Dover Publications, 2002.

Boyadjiev, Christo, Maria Doichinova, Boyan Boyadjiev e Petya Popova-Krumova. Modeling of Column Apparatus Processes. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28259-6.

Hiermaier, Stefan, ed. Predictive Modeling of Dynamic Processes. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0727-1.

Boyadjiev, Christo, Maria Doichinova, Boyan Boyadjiev e Petya Popova-Krumova. Modeling of Column Apparatus Processes. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89966-4.

Taylor, Christopher D., e Philippe Marcus, eds. Molecular Modeling of Corrosion Processes. Hoboken, NJ: John Wiley & Sons, Inc, 2015. http://dx.doi.org/10.1002/9781119057666.

Friedman, Avner, e Chiu-Yen Kao. Mathematical Modeling of Biological Processes. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08314-8.

Danaev, Nargozy, Yurii Shokin e Akhmed-Zaki Darkhan, eds. Mathematical Modeling of Technological Processes. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25058-8.

Kijima, Masaaki. Markov Processes for Stochastic Modeling. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4899-3132-0.

Yagiu, Takaaki, ed. Modeling Design Objects and Processes. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-84420-1.

Seader, J. D. Computer modeling of chemical processes. New York, N.Y: American Institute of Chemical Engineers, 1985.

Kulkarni, Vidyadhar G. Modeling and Analysis of Stochastic Systems, Third Edition. Taylor & Francis Group, 2016.

Nelson, Randolph. Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling. Springer New York, 2010.

Nelson, Randolph. Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling. Springer, 2000.

Nelson, Randolph. Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Performance Modeling. Springer, 2013.

Wallace, Stein W., e Alan J. King. Modeling with Stochastic Programming. Springer, 2012.

Wallace, Stein W., e Alan J. King. Modeling with Stochastic Programming. Springer, 2014.

Uttal, William. Computational Modeling of Vision: The Role of Combination (Optical Engineering, V. 62). CRC, 1999.

Suri, Jasjit S., Ayman El-Baz e Georgy Gimel'farb. Stochastic Modeling for Medical Image Analysis. Taylor & Francis Group, 2015.

Suri, Jasjit S., Ayman El-Baz e Georgy Gimel'farb. Stochastic Modeling for Medical Image Analysis. Taylor & Francis Group, 2015.

Krainski, Elias T., Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi e Daniela Castro-Camilo. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA. Taylor & Francis Group, 2018.

Krainski, Elias T., Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi e Daniela Castro-Camilo. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA. Taylor & Francis Group, 2019.

Krainski, Elias T., Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi e Daniela Castro-Camilo. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA. Taylor & Francis Group, 2018.

Krainski, Elias T., Virgilio Gómez-Rubio, Haakon Bakka, Amanda Lenzi e Daniela Castro-Camilo. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA. Taylor & Francis Group, 2018.

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.

Gramacy, Robert B. Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences. Taylor & Francis Group, 2020.