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Livros sobre o tema "Simulation de processus distribués"

Autor: Grafiati

Publicado: 14 de dezembro de 2024

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1

Shedler, G. S. Regenerative stochastic simulation. Boston: Academic Press, 1993.

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2

Plenge, Waagepetersen Rasmus, ed. Statistical inference and simulation for spatial point processes. Boca Raton, Fla: Chapman & Hall/CRC, 2004.

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3

Hay, Lee Loo, ed. Stochastic simulation optimization: An optimal computing budget allocation. New Jersey: World Scientific, 2011.

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4

Benchekroun, Tahar Hakim. Modélisation et simulation des processus intentionnels d'interlocution: Application à la conception d'un système d'aide à la communication multi-agents. Lille: A.N.R.T, Université de Lille III, 1994.

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5

Heermann, Dieter W. Computer simulation methods in theoretical physics. 2^a ed. Berlin: Springer-Verlag, 1990.

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6

Heermann, Dieter W. Computer simulation methods in theoretical physics. 2^a ed. Berlin: Springer-Verlag, 1990.

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7

Dennis, Terry L. Microcomputer models for management decision-making: Software and text. 3^a ed. Minneapolis: West Pub. Co., 1993.

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8

Dennis, Terry L. Microcomputer models for management decision-making: Software and text. St. Paul, MN: West Pub. Co., 1986.

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9

R, Gilks W., Richardson S e Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. London: Chapman & Hall, 1996.

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10

R, Gilks W., Richardson S e Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. Boca Raton, Fla: Chapman & Hall, 1998.

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11

R, Uttal William, ed. The Swimmer: An integrated computational model of a perceptual-motor system. Hillsdale, N.J: L. Erlbaum, 1992.

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12

m, Michel Benai. Promenade ale atoire: Chai nes de Markov et simulations ; martingales et strate gies. Palaiseau: E ditions de l'E cole polytechnique, 2004.

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13

Cooper, Robert B. Introduction to queueing theory. 3^a ed. Washington, D.C: CEEPress Books, 1990.

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14

Søren, Brunak, ed. Bioinformatics: The machine learning approach. 2^a ed. Cambridge, Mass: MIT Press, 2001.

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15

Søren, Brunak, ed. Bioinformatics: The machine learning approach. Cambridge, Mass: MIT Press, 1998.

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16

Schoutens, Wim. Lévy processes in finance: Pricing financial derivatives. Chichester, West Sussex: J. Wiley, 2003.

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17

Canicas, Jean-François. Formalisation et simulation du processus de reconnaissance intermoléculaire. 1985.

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18

COCHARD. Introduction Aux Proc Stoch Simulation: Introduction Aux Processus Stochastiques et a la Simulation. ISTE Editions Ltd., 2019.

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19

Moller, Jesper, Rasmus Plenge Waagepetersen e Jesper Møller. Statistical Inference and Simulation for Spatial Point Processes. Taylor & Francis Group, 2003.

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20

Methodes et modeles de la recherche operationnelle (Collection Gestion : serie : politique generale, finance et marketing). Economica, 1998.

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21

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

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22

Introduction to stochastic search and optimization: Estimation, simulation, and control. Hoboken, N.J: J. Wiley, 2003.

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23

Spall, James C. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. Wiley & Sons, Incorporated, John, 2008.

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24

Spall, James C. Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control. Wiley & Sons, Incorporated, John, 2005.

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25

Moller, Jesper, e Rasmus Plenge Waagepetersen. Statistical Inference and Simulation for Spatial Point Processes (Monographs on Statistics and Applied Probability). Chapman & Hall/CRC, 2003.

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26

Maillardet, Robert, Andrew Robinson e Owen Jones. Introduction to Scientific Programming and Simulation Using R. Taylor & Francis Group, 2014.

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27

Maillardet, Robert, Andrew Robinson e Owen Jones. Introduction to Scientific Programming and Simulation Using R. Taylor & Francis Group, 2009.

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28

Jones, Owen, Robert Maillardet e Andrew Robinson. Introduction to Scientific Programming and Simulation Using R. Taylor & Francis Group, 2014.

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29

Garcia, Juan Martin. Modèles de Simulation Avec Dynamique des Systèmes : Applications de Modelisation en économie, écologie, Biologie, Gestion Opérationnelle et des Processus de Fabrication. Complexité: Concepts et Exercices. Independently Published, 2019.

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30

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

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31

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

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32

Gramacy, Robert B. Surrogates. Taylor & Francis Group, 2020.

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33

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

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34

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

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35

Richardson, S., David Spiegelhalter e W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.

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36

Richardson, S., David Spiegelhalter e W. R. Gilks. Markov Chain Monte Carlo in Practice. Taylor & Francis Group, 1995.

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37

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, Robb Lovell e William R. Uttal. Swimmer: An Integrated Computational Model of a Perceptual-Motor System. Taylor & Francis Group, 2014.

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38

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, Robb Lovell e William R. Uttal. Swimmer: An Integrated Computational Model of a Perceptual-Motor System. Taylor & Francis Group, 2014.

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39

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, Robb Lovell e William R. Uttal. Swimmer: An Integrated Computational Model of a Perceptual-Motor System. Taylor & Francis Group, 2016.

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40

Shepherd, Thomas, Gary Bradshaw, Sriram Dayanand, Robb Lovell, Ramakrishna Kakarala, Kurt Skifsted, Greg Tupper e William R. Uttal. The Swimmer: An Integrated Computational Model of A Perceptual-motor System (Scientific Psychology Series). Lawrence Erlbaum, 1992.

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41

Kumar M., Dileep. 50 short case studies in business management. UUM Press, 2012. http://dx.doi.org/10.32890/9789670474243.

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Resumo:

The Higher Education Institutions that run business management programs in Malaysia is under severe criticism from industry that the passing out management graduates do not have adequate practical exposure to the industry and lack of practical skills to deal industrial issues proactively as the catalyst of change.This indicates that the traditional management education curriculum, as presently constituted, may not be adequately preparing individuals for the challenges they experience as professional managers.To deal with this issue, many management institutes are adopting case study as a pedagogy, a hypothetical or actual business situation to formulate a recommended policy or decision based on the facts and figures provided, to induce practical exposure to the students by simulating case situations, which improve students analytical skills and decision-making skills.A case study in business management course is a rigorous analysis of an incident, situation, person, crisis or any such phenomenon or concept, in relation to industry, business or people in the organisations.It is well related to the management, process or methodology adopted by the organisation stressing analysis of chain of events for better change management in relation to business operation context. The case studies included in this book provides better perspective of various issues and situations in the business field.The cases are written from the field of Organisational Behaviour, Human Resource Management, Marketing, Business Ethics, International Business, Strategic Management, Business Laws and General Management. These case studies are to be thoroughly analyzed by the faculty members before applying that into the classroom. It is expected that the faculty members should refer to the similar case scenarios at local and international levels to stimulate students to have better discussion on the multifaceted issues or situation. Instead of a direct entry into theoretical concepts, the author suggests that the faculty members distribute these cases well in advance and invite students to come for creative discussions and practical solutions.By preparing solutions to case studies, the students will be exposed to a variety of business operations, business process, management roles, and business situations.Thus the case studies can adequately integrate theoretical concepts effortlessly in realistic situations with better referential skills.The 50 cases included in this book can extremely be valuable in preparing students a career in industry by giving better chance to develop analytical and decision-making skills in the classroom that meet up the challenges of industry.

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42

Handbook for Markov chain Monte Carlo. Boca Raton: Taylor & Francis, 2011.

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43

Schoutens, Wim. Lévy Processes in Finance: Pricing Financial Derivatives. Wiley & Sons, Incorporated, John, 2003.

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