№ 2
Papers
Coefficient inverse problems for a degenerate differential equation with multiple characteristics
Ashurova G.R., Kozhanov A.I.
Mat. Trudy. 2026, 29, № 2. С. 5–21.
Mat. Trudy. 2026, 29, № 2. С. 5–21.
DOI: 10.25205/1560-750X-2026-29-2-5-21
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Isomorphism criterion for GBS(n,1) groups with non-trivial center
Dudkin F.A.
Mat. Trudy. 2026, 29, № 2. С. 22–32.
Mat. Trudy. 2026, 29, № 2. С. 22–32.
DOI: 10.25205/1560-750X-2026-29-2-22-32
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On self-similar dendrites with branch points of infinite order
Kadirova М.В., Tetenov А.V.
Математические труды. 2026, 29, № 2. С. 33–51.
Математические труды. 2026, 29, № 2. С. 33–51.
DOI: 10.25205/1560-750X-2026-29-2-33-51
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The Сauchy problem for a biharmonic equation of helmholtz type
Makhmudov К.О., Makhmudov О.I., Niyozov I.Е.
Mat. Trudy. 2026, 29, № 2. С. 52–73.
Mat. Trudy. 2026, 29, № 2. С. 52–73.
DOI: 10.25205/1560-750X-2026-29-2-52-73
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Estimates of solutions to the Cauchy problem for an uniformly strictly pseudohyperbolic equation
Nurmakhmatov V.S.
Mat. Trudy. 2026, 29, № 2. С. 74–92.
Mat. Trudy. 2026, 29, № 2. С. 74–92.
DOI: 10.25205/1560-750X-2026-29-2-74-92
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On radially symmetric solutions for the elliptic equation with singular p(|x|)-Laplacian
Tersenov A.S., Safarov R.Ch.
Mat. Trudy. 2026, 29, № 2. С. 93–112.
Mat. Trudy. 2026, 29, № 2. С. 93–112.
DOI: 10.25205/1560-750X-2026-29-2-93-112
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Sequences of degenerate Markov chains controlled by twice maximal random processes
Topchii V.A.
Mat. Trudy. 2026, 29, № 2. С. 113–151.
Mat. Trudy. 2026, 29, № 2. С. 113–151.
DOI: 10.25205/1560-750X-2026-29-2-113-151
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Fredholm and spectral properties for one class of hypoelliptic operators
Tumanyan A.G.
Mat. Trudy. 2026, 29, № 2. С. 152–175.
Mat. Trudy. 2026, 29, № 2. С. 152–175.
DOI: 10.25205/1560-750X-2026-29-2-152-175
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Widths of certain classes of analytic functions in the unit disk in a weighted Bergman space
Shabozov M.Sh., Saidusainov M.S., Khuromonov Kh.M.
Mat. Trudy. 2026, 29, № 2. С. 176–199.
Mat. Trudy. 2026, 29, № 2. С. 176–199.
DOI: 10.25205/1560-750X-2026-29-2-176-199
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Principles of choosing an approximation basis and a kernel function in a computational algorithm for approximating the probability density from a given sample
Shlimbetov N.Kh., Seytmuratov U.P., Voytishek A.V.
Mat. Trudy. 2026, 29, № 2. С. 200–218.
Mat. Trudy. 2026, 29, № 2. С. 200–218.
DOI: 10.25205/1560-750X-2026-29-2-200-218
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