Stochastic Partial Differential Equations and Applications: Proceedings of a Conference held in Trento, Italy, September 30 - October 5, 1985: Lecture Notes in Mathematics, cartea 1236
Editat de Giuseppe Da Prato, Luciano Tubaroen Limba Engleză Paperback – 25 mar 1987
Stochastic Partial Differential Equations and Applications analyzes recent developments in the study of quantum random fields, control theory, white noise, and fluid dynamics. It presents precise conditions for nontrivial and well-defined scattering, new Gaussian noise terms, models depicting the asymptotic behavior of evolution equations, and solutions to filtering dilemmas in signal processing.
With contributions from more than 40 leading experts in the field, Stochastic Partial Differential Equations and Applications is an excellent resource for pure and applied mathematicians; numerical analysts; mathematical physicists; geometers; economists; probabilists; computer scientists; control, electrical, and electronics engineers; and upper-level undergraduate and graduate students in these disciplines.
Toate formatele și edițiile | Preț | Express |
---|---|---|
Paperback (2) | 378.83 lei 43-57 zile | |
Springer Berlin, Heidelberg – 25 mar 1987 | 378.83 lei 43-57 zile | |
CRC Press – 5 apr 2002 | 1576.67 lei 43-57 zile | |
Hardback (1) | 1040.94 lei 43-57 zile | |
CRC Press – 30 sep 2020 | 1040.94 lei 43-57 zile |
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Specificații
ISBN-13: 9783540172116
ISBN-10: 3540172114
Pagini: 268
Ilustrații: VIII, 264 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:1987
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Mathematics
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540172114
Pagini: 268
Ilustrații: VIII, 264 p.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.38 kg
Ediția:1987
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Mathematics
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Existence and uniqueness results for a non linear stochastic partial differential equation.- Continuity in non linear filtering some different approacees.- Expectation functionals associated with some stochastic evolution equations.- Dirichlet boundary value problem and optimal control for a stochastic distributed parameter system.- Stochastic product integration and stochastic equations.- Some remarks on a problem in stochastic optimal control.- Passage from two-parameters to infinite dimension.- The heat equation and fourier transforms of generalized brownian functionals.- The separation principle for stochastic differential equations with unbounded coefficients.- Weak convergence of measure valued processes using sobolev-imbedding techniques.- Probability distributions of solutions to some stochastic partial differential equations.- Two-sided stochastic calculus for spdes.- Convergence of implicit discretization schemes for linear differential equations with application to filtering.- Some applications of the Malliavin calculus to stochastic analysis.- Exit problem for infinite dimensional systems.
Recenzii
"The book contains 25 contributions (of about twenty pages each) including new results as well as surveys and reviews of problems in questions so that the reader can get a feeling of what is the up-to-date state of knowledge in the respective areas. This is why the book can serve as a source for new ways of research as well as a digest for professionals working in SPDE's."
- Mathematica Bohemia
- Mathematica Bohemia
Descriere
Descriere de la o altă ediție sau format:
Analyzes developments in the study of quantum random fields, control theory, white noise, and fluid dynamics. This title presents conditions for nontrivial and well-defined scattering, Gaussian noise terms, models depicting the asymptotic behavior of evolution equations, and solutions to filtering dilemmas in signal processing.
Analyzes developments in the study of quantum random fields, control theory, white noise, and fluid dynamics. This title presents conditions for nontrivial and well-defined scattering, Gaussian noise terms, models depicting the asymptotic behavior of evolution equations, and solutions to filtering dilemmas in signal processing.