Description

Mastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the underlying mathematics. This book offers an introduction to the processes linked to the fluctuations in chance and the use of numerical methods to approach solutions that are difficult to obtain through an analytical approach. It takes classic examples of inventory and queueing management, and addresses more diverse subjects such as equipment reliability, genetics, population dynamics, physics and even market finance. It is addressed to those at Master�s level, at university, engineering school or management school, but also to an audience of those in continuing education, in order that they may discover the vast field of decision support.

Introduction to Stochastic Processes and Simulation

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£138.95

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Hardback by Gerard-Michel Cochard

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Mastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 05/11/2019
    ISBN13: 9781786304841, 978-1786304841
    ISBN10: 1786304848

    Number of Pages: 320

    Non Fiction , Mathematics & Science , Education

    Description

    Mastering chance has, for a long time, been a preoccupation of mathematical research. Today, we possess a predictive approach to the evolution of systems based on the theory of probabilities. Even so, uncovering this subject is sometimes complex, because it necessitates a good knowledge of the underlying mathematics. This book offers an introduction to the processes linked to the fluctuations in chance and the use of numerical methods to approach solutions that are difficult to obtain through an analytical approach. It takes classic examples of inventory and queueing management, and addresses more diverse subjects such as equipment reliability, genetics, population dynamics, physics and even market finance. It is addressed to those at Master�s level, at university, engineering school or management school, but also to an audience of those in continuing education, in order that they may discover the vast field of decision support.

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