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Stochastic Pdes and Dynamics
Stochastic Pdes and Dynamics
Knygos.lt klubas Knygos.lt nariams
396,52 €
-15%
Įprastai
466,49 €
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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: PreliminariesThe stochastic integra…
  • Leidėjas:
  • ISBN-10: 3110495104
  • ISBN-13: 9783110495102
  • Formatas: 17 x 24.4 x 1.4 cm, kieti viršeliai
  • Kalba: Anglų

Stochastic Pdes and Dynamics (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Boling Guo
  • Leidėjas:
  • ISBN-10: 3110495104
  • ISBN-13: 9783110495102
  • Formatas: 17 x 24.4 x 1.4 cm, kieti viršeliai
  • Kalba: Anglų

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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