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This article explores a method of machine learning based on the theory of random functions. One of the main problems of this method is that decision rule of a model becomes more complicated as the number of training dataset examples increases. The decision rule of the model is the most probable realization of a random function and it's represented as a polynomial with the number of terms equal to the number of training examples. In this article we will show the quick way of the number of training dataset examples reduction and, accordingly, the complexity of the decision rule. Reducing the number of examples of training dataset is due to the search and removal of weak elements that have little effect on the final form of the decision function, and noise sampling elements. For each $(x_i,y_i)$-th element sample was introduced the concept of value, which is expressed by the deviation of the estimated value of the decision function of the model at the point $x_i$, built without the $i$-th element, from the true value $y_i$. Also we show the possibility of indirect using weak elements in the process of training model without increasing the number of terms in the decision function. At the experimental part of the article, we show how changed amount of data affects to the ability of the method of generalizing in the classification task.

The different types of the reduced equations are known in the dynamics a heavy rigid body with a fixed point. Since the Euler−Poisson’s equations admit the three first integrals, then for the first approach the obtaining new forms of equations are usually based on these integrals. The system of six scalar equations can be transformed to a third-order system with them. However, in indicated approach the reduced system will have a feature as in the form of radical expressions a relatively the components of the angular velocity vector. This fact prevents the effective the effective application of numerical and asymptotic methods of solutions research. In the second approach the different types of variables in a problem are used: Euler’s angles, Hamilton’s variables and other variables. In this approach the Euler−Poisson’s equations are reduced to either the system of second-order differential equations, or the system for which the special methods are effective. In the article the method of finding the reduced system based on the introduction of an auxiliary variable is applied. This variable characterizes the mixed product of the angular momentum vector, the vector of vertical and the unit vector barycentric axis of the body. The system of four differential equations, two of which are linear differential equations was obtained. This system has no analog and does not contain the features that allows to apply to it the analytical and numerical methods. Received form of equations is applied for the analysis of a special class of solutions in the case when the center of mass of the body belongs to the barycentric axis. The variant in which the sum of the squares of the two components of the angular momentum vector with respect to not barycentric axes is constant. It is proved that this variant exists only in the Steklov’s solution. The obtained form of Euler−Poisson’s equations can be used to the investigation of the conditions of existence of other classes of solutions. Certain perspectives obtained equations consists a record of all solutions for which the center of mass is on barycentric axis in the variables of this article. It allows to carry out a classification solutions of Euler−Poisson’s equations depending on the order of invariant relations. Since the equations system specified in the article has no singularities, it can be considered in computer modeling using numerical methods.

Optical systems with two-dimensional feedback demonstrate wide possibilities for studying the nucleation and development processes of dissipative structures. Feedback allows to influence the dynamics of the optical system by controlling the transformation of spatial variables performed by prisms, lenses, dynamic holograms and other devices. A nonlinear interferometer with a mirror image of a field in two-dimensional feedback is one of the simplest optical systems in which is realized the nonlocal nature of light fields.

A mathematical model of optical systems with two-dimensional feedback is a nonlinear parabolic equation with rotation transformation of a spatial variable and periodicity conditions on a circle. Such problems are investigated: bifurcation of the traveling wave type stationary structures, how the form of the solution changes as the diffusion coefficient decreases, dynamics of the solution’s stability when the bifurcation parameter leaves the critical value. For the first time as a parameter bifurcation was taken of diffusion coefficient.

The method of central manifolds and the Galerkin’s method are used in this paper. The method of central manifolds and the Galerkin’s method are used in this paper. The method of central manifolds allows to prove a theorem on the existence and form of the traveling wave type solution neighborhood of the bifurcation value. The first traveling wave born as a result of the Andronov –Hopf bifurcation in the transition of the bifurcation parameter through the сritical value. According to the central manifold theorem, the first traveling wave is born orbitally stable.

Since the above theorem gives the opportunity to explore solutions are born only in the vicinity of the critical values of the bifurcation parameter, the decision to study the dynamics of traveling waves of change during the withdrawal of the bifurcation parameter in the supercritical region, the formalism of the Galerkin method was used. In accordance with the method of the central manifold is made Galerkin’s approximation of the problem solution. As the bifurcation parameter decreases and its transition through the critical value, the zero solution of the problem loses stability in an oscillatory manner. As a result, a periodic solution of the traveling wave type branches off from the zero solution. This wave is born orbitally stable. With further reduction of the parameter and its passage through the next critical value from the zero solution, the second solution of the traveling wave type is produced as a result of the Andronov –Hopf bifurcation. This wave is born unstable with an instability index of two.

Numerical calculations have shown that the application of the Galerkin’s method leads to correct results. The results obtained are in good agreement with the results obtained by other authors and can be used to establish experiments on the study of phenomena in optical systems with feedback.

The movement of bed load along the closed conduit can lead to a loss of stability of the bed surface, when bed waves arise at the bed of the channel. Investigation of the development of bed waves is associated with the possibility of determining of the bed load nature along the bed of the periodic form. Despite the great attention of many researchers to this problem, the question of the development of bed waves remains open at the present time. This is due to the fact that in the analysis of this process many researchers use phenomenological formulas for sediment transport in their work. The results obtained in such models allow only assess qualitatly the development of bed waves. For this reason, it is of interest to carry out an analysis of the development of bed waves using the analytical model for sediment transport.

The paper proposed two-dimensional profile mathematical riverbed model, which allows to investigate the movement of sediment over a periodic bed. A feature of the mathematical model is the possibility of calculating the bed load transport according to an analytical model with the Coulomb–Prandtl rheology, which takes into account the influence of bottom surface slopes, bed normal and tangential stresses on the movement of bed material. It is shown that when the bed material moves along the bed of periodic form, the diffusion and pressure transport of bed load are multidirectional and dominant with respect to the transit flow. Influence of the effects of changes in wave shape on the contribution of transit, diffusion and pressure transport to the total sediment transport has been studied. Comparison of the received results with numerical solutions of the other authors has shown their good qualitative initiation.

The article presents a method for linearization the effective function of material instantaneous deformation in order to generalize the torsional vibration equation to the case of nonlinearly deformable rheologically active shafts. It is considered layered and structurally heterogeneous, on average isotropic shafts made of nonlinearly viscoelastic components. The technique consists in determining the approximate shear modulus by minimizing the root-mean-square deviation in approximation of the effective diagram of instantaneous deformation.

The method allows to estimate analytically values of natural frequencies of layered and structurally heterogeneous nonlinearly viscoelastic shaft. This makes it possible to significantly reduce resources in vibration analysis, as well as to track changes in values of natural frequencies with changing geometric, physico-mechanical and structural parameters of shafts, which is especially important at the initial stages of modeling and design. In addition, the paper shows that only a pronounced nonlinearity of the effective state equation has an effect on the natural frequencies, and in some cases the nonlinearity in determining the natural frequencies can be neglected.

As equations of state of the composite material components, the article considers the equations of nonlinear heredity with instantaneous deformation functions in the form of the Prandtl’s bilinear diagrams. To homogenize the state equations of layered shafts, it is applied the Voigt’s hypothesis on the homogeneity of deformations and the Reuss’ hypothesis on the homogeneity of stresses in the volume of a composite body. Using these assumptions, effective secant and tangential shear moduli, proportionality limits, as well as creep and relaxation kernels of longitudinal, axial and transversely layered shafts are obtained. In addition, it is obtained the indicated effective characteristics of a structurally heterogeneous, on average isotropic shaft using the homogenization method previously proposed by the authors, based on the determination of the material deformation parameters by the rule of a mixture for the Voigt’s and the Reuss’ state equations.

The article covers several mathematical problems relating to elastic stability of thin shells in view of inconsistencies that have been recently identified between the experimental data and the predictions based on the shallow- shell theory. It is highlighted that the contradictions were caused by new algorithms that enabled updating the values of the so called “low critical stresses” calculated in the 20th century and adopted as a buckling criterion for thin shallow shells by technical standards. The new calculations often find the low critical stress close to zero. Therefore, the low critical stress cannot be used as a safety factor for the buckling analysis of the thinwalled structure, and the equations of the shallow-shell theory need to be replaced with other differential equations. The new theory also requires a buckling criterion ensuring the match between calculations and experimental data.

The article demonstrates that the contradiction with the new experiments can be resolved within the dynamic nonlinear three-dimensional theory of elasticity. The stress when bifurcation of dynamic modes occurs shall be taken as a buckling criterion. The nonlinear form of original equations causes solitary (solitonic) waves that match non-smooth displacements (patterns, dents) of the shells. It is essential that the solitons make an impact at all stages of loading and significantly increase closer to bifurcation. The solitonic solutions are illustrated based on the thin cylindrical momentless shell when its three-dimensional volume is simulated with twodimensional surface of the set thickness. It is noted that the pattern-generating waves can be detected (and their amplitudes can by identified) with acoustic or electromagnetic devices.

Thus, it is technically possible to reduce the risk of failure of the thin shells by monitoring the shape of the surface with acoustic devices. The article concludes with a setting of the mathematical problems requiring the solution for the reliable numerical assessment of the buckling criterion for thin elastic shells.

The review considers a wide range of phenomena and problems associated with the explosion. Detailed numerical studies revealed an interesting physical effect — the formation of discrete vortex structures directly behind the front of a shock wave propagating in dense layers of a heterogeneous atmosphere. The necessity of further investigation of such phenomena and the determination of the degree of their connection with the possible development of gas-dynamic instability is shown. The brief analysis of numerous works on the thermal explosion of meteoroids during their high-speed movement in the Earth’s atmosphere is given. Much attention is paid to the development of a numerical algorithm for calculating the simultaneous explosion of several fragments of meteoroids and the features of the development of such a gas-dynamic flow are analyzed. The work shows that earlier developed algorithms for calculating explosions can be successfully used to study explosive volcanic eruptions. The paper presents and discusses the results of such studies for both continental and underwater volcanoes with certain restrictions on the conditions of volcanic activity.

The mathematical analysis is performed and the results of analytical studies of a number of important physical phenomena characteristic of explosions of high specific energy in the ionosphere are presented. It is shown that the preliminary laboratory physical modeling of the main processes that determine these phenomena is of fundamental importance for the development of sufficiently complete and adequate theoretical and numerical models of such complex phenomena as powerful plasma disturbances in the ionosphere. Laser plasma is the closest object for such a simulation. The results of the corresponding theoretical and experimental studies are presented and their scientific and practical significance is shown. The brief review of recent years on the use of laser radiation for laboratory physical modeling of the effects of a nuclear explosion on asteroid materials is given.

As a result of the analysis performed in the review, it was possible to separate and preliminarily formulate some interesting and scientifically significant questions that must be investigated on the basis of the ideas already obtained. These are finely dispersed chemically active systems formed during the release of volcanoes; small-scale vortex structures; generation of spontaneous magnetic fields due to the development of instabilities and their role in the transformation of plasma energy during its expansion in the ionosphere. It is also important to study a possible laboratory physical simulation of the thermal explosion of bodies under the influence of highspeed plasma flow, which has only theoretical interpretations.

Verification of the physical-statistical approach within reliability theory for the simplest cases was carried out, which showed its validity. An analytical solution of the one-dimensional basic equation of the physicalstatistical approach is presented under the assumption of a stationary degradation rate. From a mathematical point of view this equation is the well-known continuity equation, where the role of density is played by the density distribution function of goods in its characteristics phase space, and the role of fluid velocity is played by intensity (rate) degradation processes. The latter connects the general formalism with the specifics of degradation mechanisms. The cases of coordinate constant, linear and quadratic degradation rates are analyzed using the characteristics method. In the first two cases, the results correspond to physical intuition. At a constant rate of degradation, the shape of the initial distribution is preserved, and the distribution itself moves equably from the zero. At a linear rate of degradation, the distribution either narrows down to a narrow peak (in the singular limit), or expands, with the maximum shifting to the periphery at an exponentially increasing rate. The distribution form is also saved up to the parameters. For the initial normal distribution, the coordinates of the largest value of the distribution maximum for its return motion are obtained analytically.

In the quadratic case, the formal solution demonstrates counterintuitive behavior. It consists in the fact that the solution is uniquely defined only on a part of an infinite half-plane, vanishes along with all derivatives on the boundary, and is ambiguous when crossing the boundary. If you continue it to another area in accordance with the analytical solution, it has a two-humped appearance, retains the amount of substance and, which is devoid of physical meaning, periodically over time. If you continue it with zero, then the conservativeness property is violated. The anomaly of the quadratic case is explained, though not strictly, by the analogy of the motion of a material point with an acceleration proportional to the square of velocity. Here we are dealing with a mathematical curiosity. Numerical calculations are given for all cases. Additionally, the entropy of the probability distribution and the reliability function are calculated, and their correlation is traced.

An essential class of problems describes physical processes occurring in non-convex domains containing a corner greater than 180 degrees on the boundary. The solution in a neighborhood of a corner is singular and its finding using classical approaches entails a loss of accuracy. In the paper, we consider stationary, linearized by Picard’s iterations, Navier – Stokes equations governing the flow of a incompressible viscous fluid in the convection form in $L$-shaped domain. An $R_\nu$-generalized solution of the problem in special sets of weighted spaces is defined. A special finite element method to find an approximate $R_\nu$-generalized solution is constructed. Firstly, functions of the finite element spaces satisfy the law of conservation of mass in the strong sense, i.e. at the grid nodes. For this purpose, Scott – Vogelius element pair is used. The fulfillment of the condition of mass conservation leads to the finding more accurate, from a physical point of view, solution. Secondly, basis functions of the finite element spaces are supplemented by weight functions. The degree of the weight function, as well as the parameter $\nu$ in the definition of an $R_\nu$-generalized solution, and a radius of a neighborhood of the singularity point are free parameters of the method. A specially selected combination of them leads to an increase almost twice in the order of convergence rate of an approximate solution to the exact one in relation to the classical approaches. The convergence rate reaches the first order by the grid step in the norms of Sobolev weight spaces. Thus, numerically shown that the convergence rate does not depend on the corner value.

We consider a model of spontaneous formation of a computational structure in the human brain for solving a given class of tasks in the process of performing a series of similar tasks. The model is based on a special definition of a numerical measure of the complexity of the solution algorithm. This measure has an informational property: the complexity of a computational structure consisting of two independent structures is equal to the sum of the complexities of these structures. Then the probability of spontaneous occurrence of the structure depends exponentially on the complexity of the structure. The exponential coefficient requires experimental determination for each type of problem. It may depend on the form of presentation of the source data and the procedure for issuing the result. This estimation method was applied to the results of a series of experiments that determined the strategy for solving a series of similar problems with a growing number of initial data. These experiments were described in previously published papers. Two main strategies were considered: sequential execution of the computational algorithm, or the use of parallel computing in those tasks where it is effective. These strategies differ in how calculations are performed. Using an estimate of the complexity of schemes, you can use the empirical probability of one of the strategies to calculate the probability of the other. The calculations performed showed a good match between the calculated and empirical probabilities. This confirms the hypothesis about the spontaneous formation of structures that solve the problem during the initial training of a person. The paper contains a brief description of experiments, detailed computational schemes and a strict definition of the complexity measure of computational structures and the conclusion of the dependence of the probability of structure formation on its complexity.