The identification of parameters in partial differential equations from experimental output data is investigated. It is assumed that a physical process can be represented by a system of nonlinear hyperbolic or parabolic partial differential equations of known form but containing unknown parameters.
โฆ LIBER โฆ
Identification of distributed-parameter systems by stochastic solution of partial differential equations
โ Scribed by P. A. Moroz
- Publisher
- Springer US
- Year
- 1974
- Tongue
- English
- Weight
- 342 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1573-8337
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This paper presents a framework for the construction of Galerkin approximations of elliptic boundary-value problems with stochastic input data. A variational formulation is developed which allows, among others, numerical treatment by the finite element method; a theory of a posteriori error estimati