Geodesic
Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods
Matematičeskoe modelirovanie i čislennye metody (2017), pp. 60-72.

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The article introduces a dependency for the pressure distribution in the disturbed region near the sphere streamlined by the flow of the supersonic inviscid gas, obtained when modifying the Shepard’s Method. We use known ratios for the pressure on the body and the shockwave as well as data from the numerical experiments. We have compared the results with the data not used in the learning process of the dependency coefficients. This comparison proves high confidence of the model obtained.
Keywords: Shepard’s method, supersonic gas flow
Mots-clés : multivariable regression. 
@article{MMCM_2017_a4,
     author = {V. P. Kotenev and A. S. Puchkov and D. A. Sapozhnikov and E. G. Tonkikh},
     title = {Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods},
     journal = {Matemati\v{c}eskoe modelirovanie i \v{c}islennye metody},
     pages = {60--72},
     publisher = {mathdoc},
     year = {2017},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MMCM_2017_a4/}
}
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V. P. Kotenev; A. S. Puchkov; D. A. Sapozhnikov; E. G. Tonkikh. Simulation of the pressure distribution in the disturbed region near the sphere streamlined by the inviscid flotation by means of the machine learning methods. Matematičeskoe modelirovanie i čislennye metody (2017), pp. 60-72. http://geodesic.mathdoc.fr/item/MMCM_2017_a4/