Inverse problems are those in which measured or specified information at a given location is used to infer the .
Inverse problems are those in which measured or specified information at a given location is used to infer the conditions at other locations that cause the measured or specified information. The theory and numerical methods for solving inverse problems for the heat equations are provided in. The inverse problem under examination in this article is solved in the frequency domain. Determination of heat transfer properties of media with a single-needle probe.
The authors discuss a broad range of problems concerned with both the theory of regularizing gradient algorithms and peculiarities of their application to the most often encountered inverse problems of reconstruction of external heat fluxes and the identification of mathematical models for heat transfer processes. Extreme Methods for Solving Ill-Posed Problems With Applications to Inverse Heat Transfer Problems.
Items related to Extreme Methods for Solving Ill-Posed Problems With. O. M. Alifanov; E. A. Artiukhin; S. V. Rumiantsev
Items related to Extreme Methods for Solving Ill-Posed Problems With. Rumiantsev. The volume's six sections cover identification and inverse problems in the studies of thermophysical processes; iterative regularization of ill-posed problems; construction of gradient algorithms for solving inverse heat transfer problems; iterative solution of boundary inverse heat conduction problems; algorithms for solving coefficient inverse problems; and design of experiments for solving inverse heat conduction problems. Annotation c. by Book News, In. Portland, Or.
A number of methods of solving inverse heat-conduction problems are analyzed from the point of view of their practical us. Alifanov and S. Rumyantsev, Stability of iteration methods of solving linear ill-posed problems, Dokl. Nauk SSSR,248, 1289–1291 (1979).
A number of methods of solving inverse heat-conduction problems are analyzed from the point of view of their practical use. Problems of determining discrep. 19. Rumyantsev, Regularization of iteration algorithms for solving inverse heat-conduction problems, Inzh. Z. 39, 253–258 (1980).
The conjugate gradient method is widely used for inverse problems because it provides regularization implicitly .
The conjugate gradient method is widely used for inverse problems because it provides regularization implicitly by neglecting non-dominant Hessian eigenvectors. The large CPU time required for the single cost functional computation justifies the high importance attached to the choice of most efficient optimization methods.
2. Analysis of Statements and Solution Methods for Inverse Heat Transfer Problems. . Inverse Problems Formulation and Stability of Their Solution. Existence of Inverse Problem Solutions. Uniqueness of Solution of Inverse Heat Conduction Problems - . osed Statement of Inverse Problems. Regularization Principles of Ill-Posed Inverse Problem Solutions.
Extreme Methods for Solving Ill-Posed Problems with Applications to Inverse Heat Transfer Problems, Begell House, New York. Louahlia-Gualous, H. & Imbert, M. (2006)
Extreme Methods for Solving Ill-Posed Problems with Applications to Inverse Heat Transfer Problems, Begell House, New York. (2006). Experimental study of the hydrodynamic and heat transfer of free liquid jet impinging a flat circular heated disk, Applied Thermal Engineering, Vol. 26, pp. 1125-1138. Journal, vol. 7, pp. 367-370.
An Inverse Heat Transfer Problem is solved for a sounding rocket module given its geometry and measured temperature profile. The solution is obtained via moving window optimization, a technique for solving inverse dynamics. An analysis is performed to modify the method to avoid oscillatory behavior of the resulting heat flux profile. The method parameters are tuned in relation to characteristic phases of the flight. Results are presented and correlated with measured flight data. Conclusions are drawn for better experiments for measuring heat flux on a sounding rocket skin.