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Galerkin Approximation for Stochastic Volterra Integral Equations with Doubly Singular Kernels the results of some numerical schemes for the stochastic Volterra
integral equations with regular or weakly
Analytic solutions for earth discontinuous coverage and methods for analysis and synthesis of satellite orbits and constellations constellation using both deterministic and stochastic approaches. The method provides analysis of the revisit
Identification of Markovian automata sub-classes stochastic matrices. This method allows identifying presence or absence of cycles in the Markovian sequence
Numerical Analisys of Relativistic Finite-difference Schrodinger Equation with Random Quasipotential and Small Parameter. The numerical analysis of eigenfunctions and eigenvalues for this boundary value problem with the random quantum
Identification of Markovian automata sub-classes stochastic matrices. This method allows identifying presence or absence of cycles in the Markovian sequence
Design and stability analysis of nondeterministic multidimensional populations dynamics models. The second method is connected with the technique of design of the self-consistent stochastic models
Optimizing sensors placement in complex networks for localization of hidden signal source: A review spread have to be developed. Currently, the most effective methods for source localization are based
The Generalized Algorithms of Global Parametric Optimization and Stochastization for Dynamical Models of Interconnected Populations function and on modifications of classical numerical methods for solving differential equations. We present
Computer research of nonlinear stochastic models with migration flows the method of constructing self-consistent stochastic models. As a tool for the study of population
Numerical Modeling and Simulation of RED Active Queue Management Algorithms equations. The numerical solution is carried out using stochastic Runge-Kutta methods with weak convergence
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