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

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allows sometimes <strong>to</strong> obtain essential energy economy comparatively <strong>to</strong> <strong>the</strong><br />

traditional ways <strong>of</strong> <strong>the</strong> compression control. There were constructed and reasoned<br />

<strong>the</strong> asymp<strong>to</strong>tic expansions <strong>of</strong> <strong>the</strong> solutions <strong>of</strong> boundary value problems for elliptic<br />

equations with a small parameter on <strong>the</strong> highest derivatives in <strong>the</strong> case when<br />

degenerate opera<strong>to</strong>r was <strong>of</strong> <strong>the</strong> first order and <strong>the</strong> region boundary was piece wise<br />

smooth. There were also built <strong>the</strong> asymp<strong>to</strong>tic expansions <strong>of</strong> fundamental solution <strong>of</strong><br />

<strong>the</strong> Cauchy problem for parabolic equation with lowest terms.<br />

In <strong>the</strong> sphere <strong>of</strong> a new numerical methods <strong>of</strong> <strong>the</strong> complex multidimensional problems<br />

calculation development <strong>the</strong>re were advanced <strong>the</strong> following directions.<br />

There were wrought <strong>the</strong> effective numerical methods and <strong>the</strong>re were created: two large<br />

programs (MOPS-2 and ADAPTATSYA) for calculation <strong>of</strong> <strong>the</strong> optimal curvilinear<br />

difference grids in two-dimensional domains <strong>of</strong> a complex shape. Among <strong>the</strong>m are<br />

<strong>the</strong> grids adaptive <strong>to</strong> <strong>the</strong> peculiarities <strong>of</strong> solutions in boundary problems. The<br />

feature <strong>of</strong> this method is <strong>the</strong> special formalization <strong>of</strong> <strong>the</strong> criterion <strong>of</strong> <strong>the</strong> closeness <strong>of</strong><br />

<strong>the</strong> grids <strong>to</strong> uniform ones, which allow <strong>to</strong> construct effective and stable procedures<br />

<strong>to</strong> build regular grids with good approximate properties in <strong>the</strong> very complex twodimensional<br />

regions.<br />

The method and corresponding program complex which were built in order <strong>to</strong> calculate <strong>the</strong><br />

stationary subsonic flows <strong>of</strong> <strong>the</strong> gas in axisymmetric channels allow <strong>to</strong> calculate<br />

flows <strong>of</strong> a compressible gas in <strong>the</strong> very complex channels in a wide range <strong>of</strong> <strong>the</strong><br />

Much number when <strong>the</strong> closed vortex zones occur.<br />

There were <strong>of</strong>fered new effective methods <strong>of</strong> <strong>the</strong> Monte Carlo type for solving nonlinear<br />

Boltzmann equations without using <strong>of</strong> space-time grids. There were built <strong>the</strong><br />

difference schemes possessing <strong>the</strong> uniform convergence on perturbation parameter<br />

for classes <strong>of</strong> linear and nonlinear singular perturbation differential equations.<br />

There were wrought <strong>the</strong> difference methods and program MODAMS for calculations <strong>of</strong><br />

stationary spatial flow about complex shape bodies (particularly - in <strong>the</strong> transonic<br />

range <strong>of</strong> velocities) and following blast diffraction by bodies.<br />

Now <strong>the</strong> methods <strong>of</strong> ma<strong>the</strong>matical simulation are developing in <strong>the</strong> DAP in order <strong>to</strong><br />

optimize processes in gas and fluid mechanics. One proposes <strong>to</strong> calculate gas<br />

dynamic processes with limits on economy, energy expenditure and o<strong>the</strong>r<br />

parameters using this and new analytical and numerical approaches.<br />

More <strong>the</strong>n 250 scientific articles were published by <strong>the</strong> DAP employees.<br />

Function Approximation Theory Department (DFAT)<br />

Approximation and Applications Department (DAA)<br />

Personnel:<br />

Badkov Vladimir Mikhailovich<br />

Berdyshev Vitalii Ivanovich<br />

Gabushin Vladislav Nikolaevich<br />

Koshcheev Vik<strong>to</strong>r Alekseevich<br />

Marinov Ana<strong>to</strong>lii Viacheslavovich<br />

Matveev Oleg Vladimirovich<br />

Petrak Larisa Vladimirovna<br />

Shevaldin Valerii Trifonovich<br />

1227

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