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An approach to solving inverse problems of computational diagnostics on supercomputers
Numerical methods and programming, Tome 9 (2008) no. 3, pp. 327-331 Cet article a éte moissonné depuis la source Math-Net.Ru

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The paper is concerned with methods for solving inverse problems of mathematical physics on supercomputers. It discusses the approach based on the use of finite-dimensional parametric models in the cases of both deterministic and stochastic errors. Such methods are proved to be highly efficient when implemented on high-performance clusters.
Keywords: mathematical physics, inverse problems, parametric models, high-performance clusters, parallel computing. 
@article{VMP_2008_9_3_a11,
     author = {A. V. Goncharsky},
     title = {An approach to solving inverse problems of computational diagnostics on supercomputers},
     journal = {Numerical methods and programming},
     pages = {327--331},
     year = {2008},
     volume = {9},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VMP_2008_9_3_a11/}
}
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A. V. Goncharsky. An approach to solving inverse problems of computational diagnostics on supercomputers. Numerical methods and programming, Tome 9 (2008) no. 3, pp. 327-331. http://geodesic.mathdoc.fr/item/VMP_2008_9_3_a11/