Contents

Computational Mathematics and Mathematical Physics


Vol. 66, No. 8, 2026


PARTIAL DIFFERENTIAL EQUATIONS

On Bojarskij–Meyers Estimate of the Solution to the Dirichlet problem for a Second-Order Linear Elliptic Equation with Divergence Drift

M. J. Aliyev, Yu. A. Alkhutov, and G. A. Chechkin p. 1445  abstract

Dynamics of Quantum States Generated by the Operators of Shift and Multiplication by Exponentials in a Function Space with an Infinite-Dimensional Argument

G. G. Amosov p. 1452  abstract


PARTIAL DIFFERENTIAL EQUATIONS

The Operator Method for Determining the Kernel Identification Problem for Functional Hyperbolic Equations with Dependent Coefficients

A. Ashyralyev and D. K. Durdiev p. 1457  abstract


PARTIAL DIFFERENTIAL EQUATIONS

A General Equivariant Mixed Problem for the N-Dimensional Wave Equation

Yu. O. Belyaeva p. 1473  abstract

Dynamics of Singular Quantum States Generated by Averaging Random Shifts

V. M. Busovikov and V. Zh. Sakbaev p. 1483  abstract

Derivation of Hubble’s Law and the Accelerated Expansion of the Universe from Hamiltonian Dynamics

V. V. Vedenyapin p. 1500  abstract


PARTIAL DIFFERENTIAL EQUATIONS

On Chain Rule and Renormalization

R. V. Dribas and N. A. Gusev p. 1517  abstract


PARTIAL DIFFERENTIAL EQUATIONS

Remarks on the Coercivity of the p-Laplacian for Differential Forms

M. D. Surnachev p. 1530  abstract


MATHEMATICAL PHYSICS

Averaging Stochastic Dynamically Equivalent Hamiltonian Flows

R. Sh. Kalmetev, Yu. N. Orlov, and V. J. Sakbaev p. 1542  abstract

Method for Determining the Structural Features of a Nanosystem with Close Atom Packing in Numerical Simulation of the Liquid–Solid Phase Transition

O. A. Pyrkova, V. M. Burlakov, and V. N. Pyrkov p. 1550  abstract


INFORMATION SCIENCE

Algorithm for Filtering Nonstationary Noise in Machine Learning Data

A. A. Kislitsyn and Yu. N. Orlov p. 1562  abstract

On Comparison of Quantum Control Landscapes with Different Trapping Features

A. N. Pechen p. 1569  abstract


INFORMATION SCIENCE

Efficient Machine Learning Generation of Target Quantum Processes

I. T. Russkikh, B. O. Volkov, and A. N. Pechen p. 1579  abstract