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The classical inverse problem Multiobjective and regularization Statistical methods for parametr estimation Model differentiation Model dimension reduction Model structure identification Development of Data-driven models Data assimilation for inversion Model uncertainty quantification Optimal experimental design Goal-oriented modeling Functional spaces and mapping Mapping and operatiors Random variables and probability distributions Multivariate probability distributions Bayers Theorem Random Fields, Auto- and Cross-Covariance functions Matrix algebra calculus.
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There are copies available to loan: sygn. Z 8751 (1 egz.)
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Bibliografia strony 581-612. Indeks.
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