Stochastic Partial Differential Equations and Their Applications: Lecture Notes in Control and Information Sciences, cartea 176
Editat de Boris L. Rozovskii, Richard B. Sowersen Limba Engleză Paperback – 27 mai 1992
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Specificații
ISBN-13: 9783540552925
ISBN-10: 3540552928
Pagini: 268
Ilustrații: VIII, 255 p. 2 illus.
Dimensiuni: 170 x 244 x 15 mm
Greutate: 0.47 kg
Editura: Springer
Colecția Lecture Notes in Control and Information Sciences
Seria Lecture Notes in Control and Information Sciences
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540552928
Pagini: 268
Ilustrații: VIII, 255 p. 2 illus.
Dimensiuni: 170 x 244 x 15 mm
Greutate: 0.47 kg
Editura: Springer
Colecția Lecture Notes in Control and Information Sciences
Seria Lecture Notes in Control and Information Sciences
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Nonstationary anderson model with lévy potential.- Stochastic partial differential equations in control of structures.- Splitting up method in the context of stochastic pde.- Generalized stochastic differential equations on (D*).- On invariant measure for semilinear equations with dissipative nonlinearities.- Random conservation laws and global solutions of nonlinear SPDE application to the HJB SPDE of anticipative control.- Stochastic calculus with anticipation and shift transformations of wiener's measure.- A propos d'un exemple d'équation différentielle stochastique en dimension infinie.- Stochastic evolution equations with non-coercive monotone operators.- Existence of a smooth density for the filter in nonlinear filtering on manifolds.- On the itô formula for two-parameter martingales.- Central limit theorem results for a reaction-diffusion equation with fast-oscillating boundary perturbations.- On the stochastic partial differential equations of Ginzburg-Landau type.- Stochastic variational calculus.- A nuclear space-valued stochastic differential equation driven by poisson random measures.- Random vortex models and stochastic partial differential equations.- On explicit formulas for solutions of evolutionary SPDE's (a kind of introduction to the theory).- Convolution and fourier transform of hida distributions.- Splitting-up approximation for SPDE's and SDE's with application to nonlinear filtering.- Representation and approximation of martingale measures.- Backward stochastic differential equations and quasilinear parabolic partial differential equations.- Lyapunov exponent of a stochastic wave equation.- On stochastic elliptic boundary value problems associated with gaussian markov random fields.- White noise methods for stochastic partial differentialequations.