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On management of self-financing portfolio with given dynamic properties strategies of given risk. The problem is solved using methods of constructing system of stochastic

ON THE APPLICATION OF MANAGEMENT OF SELF- FINANCING PORTFOLIO WITH GIVEN DYNAMIC PROPERTIES strategies of given risk. These strategies have been received using methods of constructing system

Synthesis and Computer Study of Population Dynamics Controlled Models Using Methods of Numerical Optimization, Stochastization and Machine Learning to studying the properties of population dynamics systems using methods of numerical optimization

Stochastization and analysis of the differential population model “two competitors-two areas of migration”. The issues of constructing deterministic and stochastic models of the dynamics of the number of interrelated

The Generalized Algorithms of Global Parametric Optimization and Stochastization for Dynamical Models of Interconnected Populations controlled dynamical systems has been developed. We have also carried out a computer study of the constructed

Dynamical Shannon entropy and information Tsallis entropy in complex systems of the dynamic behaviour of complex systems. On the basis of the unification of the known information approach

Development of Algorithms and Software for Modeling Controlled Dynamic Systems Using Symbolic Computations and Stochastic Methods of the development of software for modeling dynamic systems the behavior of which can be described by one

Problems of Synthesis, Analysis and Optimization of Parameters for Multidimensional Mathematical Models of Interconnected Populations DynamicsThe designing of multidimensional deterministic and stochastic models of populations dynamics

On Value-at-Risk and Expected Shortfall of Financial Asset with Stochastic PricingWe study the problem of measuring market risk of financial asset with stochastic pricing. Market

Стохастизация и анализ популяционной модели "три конкурента-два ареала миграции" of stochastization and the implementation of intelligent algorithms. A comparative analysis of trajectory dynamics

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