Titlebook: Nonlinear Stochastic Evolution Problems in Applied Sciences; N. Bellomo,Z. Brzezniak,L. M. Socio Book 1992 Springer Science+Business Media

Julienne

书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences影响因子(影响力)




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences影响因子(影响力)学科排名




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences网络公开度




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences网络公开度学科排名




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences被引频次




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences被引频次学科排名




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences年度引用




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences年度引用学科排名




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences读者反馈




书目名称Nonlinear Stochastic Evolution Problems in Applied Sciences读者反馈学科排名

乞讨

新鲜

Stochastic Models and Random Evolution Equations,the time and/or space evolution of its dependent variables. As such, the model equation describes the physical state of the system. When the state of the system is defined by more than one variable, the mathematical model is given in terms of a set of equations, the number of which is equal to the number of components of the state variable.

偶像

The Random Initial Boundary Value Problem,When dealing with Problems 1 and 2 introduced in Section 2 of Chapter 1, the physical situation to be studied can be considered as an input-output system where the set of initial and boundary conditions represent the input and the actual solution of the problem is the output and the phenomenology is modelled by a partial differential equation.

Lasting

Further Developments of the Sai Method,All the preceding chapters were essentially devoted to stochastic evolution problems which are described by partial differential equations with their proper initial and boundary conditions. However the SAI method seems flexible enough to be adopted for the solution of a larger class of mathematical problems.

做事过头

赞美者

祖传财产

Stochastic Systems with Addional Weighted Noise,r of the dependent variable is defined by the superposition on a deterministic evolution (in space and time) of an additional weighted noise. This type of modelling was already announced in Chapter 1 when we presented Eq.(1.14).

上涨

978-94-010-4803-3Springer Science+Business Media Dordrecht 1992

步兵

Overview: 978-94-010-4803-3978-94-011-1820-0