Abstract
We discuss the computational properties of variational algorithms of mastering the data of measurements and convergency of iterative procedures of search for an optimum distribution of the input parameters of a model and consider the model of transfer of a passive admixture. The algorithm of identification is based on the variational principles, solving the conjugate problem, and minimization of the functional of quality of a prediction. We carry out the analytic verification of the efficiency of the algorithm and discuss the problems of optimum planning of experiments from the viewpoint of conditionality of the problem of identification that is being solved.
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Eremeev, V.N., Kochergin, S.V. Variational Approach to the Problems of Planning of Experiments and Identification of the Input Parameters of Hydrodynamic Models According to the Data of Measurements. Physical Oceanography 12, 32–42 (2002). https://doi.org/10.1023/A:1014624731131
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DOI: https://doi.org/10.1023/A:1014624731131