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Stochastic World [electronic resource] / by Sergey S. Stepanov.

By: Contributor(s): Material type: TextTextSeries: Mathematical EngineeringPublisher: Heidelberg : Springer International Publishing : Imprint: Springer, 2013Description: IX, 339 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319000718
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 519.2 23
LOC classification:
  • QA273.A1-274.9
  • QA274-274.9
Online resources:
Contents:
Random Events -- Stochastic Equations -- Mean Values -- Probabilities -- Stochastic Integrals -- Systems of Equations -- Stochastic Nature -- Stochastic Society -- Computer Modeling.
In: Springer eBooksSummary: This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory.  A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content.
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Random Events -- Stochastic Equations -- Mean Values -- Probabilities -- Stochastic Integrals -- Systems of Equations -- Stochastic Nature -- Stochastic Society -- Computer Modeling.

This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory.  A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content.

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