382,40 €
424,89 €
-10% with code: EXTRA
Stochastic Pdes and Dynamics
Stochastic Pdes and Dynamics
382,40
424,89 €
  • We will send in 10–14 business days.
This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists in nonlinear science. Contents: PreliminariesThe stochastic integra…
424.89
  • Publisher:
  • ISBN-10: 3110495104
  • ISBN-13: 9783110495102
  • Format: 17 x 24.4 x 1.4 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists in nonlinear science.

Contents:
Preliminaries
The stochastic integral and Itô formula
OU processes and SDEs
Random attractors
Applications
Bibliography
Index

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  • Author: Boling Guo
  • Publisher:
  • ISBN-10: 3110495104
  • ISBN-13: 9783110495102
  • Format: 17 x 24.4 x 1.4 cm, kieti viršeliai
  • Language: English English

This book explains mathematical theories of a collection of stochastic partial differential equations and their dynamical behaviors. Based on probability and stochastic process, the authors discuss stochastic integrals, Ito formula and Ornstein-Uhlenbeck processes, and introduce theoretical framework for random attractors. With rigorous mathematical deduction, the book is an essential reference to mathematicians and physicists in nonlinear science.

Contents:
Preliminaries
The stochastic integral and Itô formula
OU processes and SDEs
Random attractors
Applications
Bibliography
Index

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