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Autor(en): 
  • Anatoli V. Skorokhod
  • Frank C. Hoppensteadt
  • Habib D. Salehi
  • Random Perturbation Methods with Applications in Science and Engineering 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2012  
    Genre:  Schulbücher 
     
    Analysis / Analysis (Mathematics) / Applications of Mathematics / Applied mathematics / C / Calculus & mathematical analysis / Civil Engineering / Engineering mathematics / Mathematical analysis / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical physics / Mathematics and Statistics / Maths for engineers / Mechanics / Mechanics of solids / Mechanics, Applied / Probabilities / Probability Theory / Probability Theory and Stochastic Processes / Stochastics / Theoretical and Applied Mechanics / Theoretical, Mathematical and Computational Physics
    ISBN:  9781468492712 
    EAN-Code: 
    9781468492712 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #150 - Applied Mathematical Sciences  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  765 gr 
    Seiten:  490 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    As systems evolve, they are subjected to random operating environments. In addition, random errors occur in measurements of their outputs and in their design and fabrication where tolerances are not precisely met. This book develops methods for describing random dynamical systems, and it illustrates how the methods can be used in a variety of applications. The first half of the book concentrates on finding approximations to random processes using the methodologies of probability theory. The second half of the book derives approximations to solutions of various problems in mechanics, electronic circuits, population biology, and genetics. In each example, the underlying physical or biological phenomenon is described in terms of nonrandom models taken from the literature, and the impact of random noise on the solutions is investigated. The mathematical problems in these applicitons involve random pertubations of gradient systems, Hamiltonian systems, toroidal flows, Markov chains, difference equations, filters, and nonlinear renewal equations. The models are analyzed using the approximation methods described here and are visualized using MATLAB-based computer simulations.
    This book will appeal to those researchers and graduate students in science and engineering who require tools to investigate stochastic systems.
      



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