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Herausgeber: 
  • István Gyöngy
  • Samuel N. Cohen
  • David Siska
  • Gon¿alo dos Reis
  • ¿Ukasz Szpruch
  • Frontiers in Stochastic Analysis¿BSDEs, SPDEs and their Applications: Edinburgh, July 2017 Selected, Revised and Extended Contributions 
     

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


    Übersicht

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    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  September 2019  
    Genre:  Schulbücher 
     
    Analysis / Applications of Mathematics / C / Calculus of variations / Calculus of Variations and Optimal Control; Optimization / Calculus of Variations and Optimization / Computational Mathematics and Numerical Analysis / Computer mathematics / Cybernetics & systems theory / Differential calculus & equations / Differential calculus and equations / Economics, Mathematical / Finance & accounting / Mathematics and Statistics / Numerical analysis / Optimization / Partial Differential Equations / Probabilities / Probability Theory / Probability Theory and Stochastic Processes / Quantitative Finance / Stochastics / System Theory / Systems Theory, Control
    ISBN:  9783030222840 
    EAN-Code: 
    9783030222840 
    Verlag:  Springer International Publishing 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #289 - Springer Proceedings in Mathematics & Statistics  
    Dimensionen:  H 241 mm / B 160 mm / D 22 mm 
    Gewicht:  692 gr 
    Seiten:  312 
    Zus. Info:  HC runder Rücken kaschiert 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This collection of selected, revised and extended contributions resulted from a Workshop on BSDEs, SPDEs and their Applications that took place in Edinburgh, Scotland, July 2017 and included the 8th World Symposium on BSDEs. 

    The volume addresses recent advances involving backward stochastic differential equations (BSDEs) and stochastic partial differential equations (SPDEs). These equations are of fundamental importance in modelling of biological, physical and economic systems, and underpin many problems in control of random systems, mathematical finance, stochastic filtering and data assimilation. The papers in this volume seek to understand these equations, and to use them to build our understanding in other areas of mathematics.

    This volume will be of interest to those working at the forefront of modern probability theory, both established researchers and graduate students.


      



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