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A Guide to the Russian Academy of Sciences - University of Texas ...

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9. Labora<strong>to</strong>ry <strong>of</strong> Statistical Methods: Staff: I. A. Ibragimov, (Head <strong>of</strong> Labora<strong>to</strong>ry),<br />

A. N. Borodin, A. Iurii Zaitsev, M. S. Nikulin, V. N. Solev, V. N. Udakov, A.<br />

V. Teplyaev, L. A. Khalfin, and N. M. Khalfina. New methods <strong>of</strong> investigation <strong>of</strong><br />

<strong>the</strong> limiting behavior <strong>of</strong> statistical parameter estimates in <strong>the</strong> asymp<strong>to</strong>tic estimation<br />

<strong>the</strong>ory were suggested, which led <strong>to</strong> <strong>the</strong> final solution <strong>of</strong> <strong>the</strong> old problem about <strong>the</strong><br />

asymp<strong>to</strong>tic efficiency <strong>of</strong> maximum likelihood estimates. Methods <strong>of</strong> solution <strong>of</strong><br />

nonparametric estimation problems were developed.<br />

The approximation <strong>of</strong> <strong>the</strong> distribution <strong>of</strong> sums <strong>of</strong> independent random variables by infinite<br />

divisible distributions was studied. In particular an old A. N. Kolmogorov's<br />

problem about <strong>the</strong> order <strong>of</strong> accuracy <strong>of</strong> such approximation in <strong>the</strong> Levy metric was<br />

solved.<br />

Methods <strong>of</strong> investigation <strong>of</strong> asymp<strong>to</strong>tic behavior <strong>of</strong> <strong>the</strong> distribution <strong>of</strong> functionals defined<br />

on random walks were suggested, which proved for <strong>the</strong> first time, <strong>the</strong> appropriate<br />

limit <strong>the</strong>orems under natural conditions.<br />

Researches were carried out in <strong>the</strong> <strong>the</strong>ory <strong>of</strong> Gaussian processes, spectral <strong>the</strong>ory and in<br />

statistics <strong>of</strong> stationary processes and homogeneous fields.<br />

10. Labora<strong>to</strong>ry <strong>of</strong> Algorithmic Methods: Staff: D. Iurii Grigor'ev, (Head <strong>of</strong><br />

Labora<strong>to</strong>ry), A. Iurii Volkov, N. N. Vorob'ev, L. Iurii Kolotilina, T. Ya.<br />

Kon'kova, V. N. Kublanovskaia (aya), N. B. Lebedinskaia (aya), M. M.<br />

Lebedinskii, and V. N. Simonova. For <strong>the</strong>ories <strong>of</strong> <strong>the</strong> first order <strong>of</strong> algebraically<br />

closed, as well as real closed, fields, algorithms <strong>of</strong> solutions were constructed with<br />

subexponential complexity under a bounded number <strong>of</strong> changes <strong>of</strong> quan<strong>to</strong>rs in <strong>the</strong><br />

<strong>the</strong>ory formula.<br />

An algorithm <strong>of</strong> solution <strong>of</strong> systems <strong>of</strong> polynomial inequalities over a real closed field in a<br />

subexponential time, an algorithm <strong>of</strong> elimination in <strong>the</strong> first order <strong>the</strong>ory <strong>of</strong> ordinary<br />

differentially closed fields with an elementary estimate <strong>of</strong> complexity and an<br />

algorithm <strong>of</strong> polynomial complexity for finding <strong>the</strong> greatest common divisor <strong>of</strong> a<br />

family <strong>of</strong> linear ordinary differential opera<strong>to</strong>rs were suggested.<br />

A new approach <strong>to</strong> <strong>the</strong> construction <strong>of</strong> algorithms <strong>of</strong> <strong>the</strong> solution <strong>of</strong> spectral problems for<br />

bundles <strong>of</strong> matrices, as well as for polynomial and rational matrices <strong>of</strong> general type<br />

(both regular and singular), based on <strong>the</strong> minimal (non cancelable) fac<strong>to</strong>rization <strong>of</strong><br />

<strong>the</strong> rational matrix was suggested.<br />

11. Labora<strong>to</strong>ry <strong>of</strong> Ma<strong>the</strong>matical Problems <strong>of</strong> Geophysics: Staff: V. M. Babich,<br />

(Head <strong>of</strong> Labora<strong>to</strong>ry), A. I. Bobenko, B. V. Budaev, N. S. Zabavnikova, A. P<br />

Kachalov, N. Ya. Kirpichnikova, L. A. Krauklis, P. V. Krauklis, Ya. V. Kurylev,<br />

E. M. Ledovskaia (aya), L. A. Molotkov, S. M. Novoselova, G. I. Petrashen',<br />

Iurii A. Surkova, T. N. Surkova, V. B. Filippov, and Z. A. Yanson.<br />

Exact solutions <strong>of</strong> wave problems from <strong>the</strong> point <strong>of</strong> view <strong>of</strong> applications <strong>of</strong> <strong>the</strong>se solutions<br />

<strong>to</strong> <strong>the</strong> numeric calculation <strong>of</strong> wave phenomena <strong>of</strong> different nature were studied.<br />

Asymp<strong>to</strong>tic methods <strong>of</strong> solution <strong>of</strong> wave problems, i.e. <strong>the</strong> space-time ray method, <strong>the</strong><br />

method <strong>of</strong> Gaussian bundles, were developed, which can be used for representation<br />

<strong>of</strong> a wave field both in <strong>the</strong> area <strong>of</strong> regularity <strong>of</strong> <strong>the</strong> ray and in <strong>the</strong> caustics.<br />

On <strong>the</strong> basis <strong>of</strong> <strong>the</strong> developed exact and asymp<strong>to</strong>tic methods <strong>of</strong> solution <strong>of</strong> wave problems<br />

computer programs for numeric solution <strong>of</strong> <strong>the</strong>se problems were constructed and<br />

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