NADRA 3D information technology for analysis of processes in multicomponent soil media

This paper considers the principles of algorithmic and software implementation of the software system NADRA 3D designed to analyze processes in three-dimensional multicomponent soil media. The principles of operation of NADRA 3D are described. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 157–174, November–December 2006.     

An approach to the construction of approximate solutions of Boolean linear programming problems

Translated from Kibernetika, No. 1, pp. 40–43, January–February, 1988.     

Metaheuristic downhill simplex method in combinatorial optimization

The concept of combinatorial objects is formalized. It allows strict definition of a combinatorial optimization problem (COP). An efficient metaheuristic method to solve COPs (H-method) is considered. It includes stochastic local search algorithms as a built-in procedure. A parallel implementation of the H-method is set forth and analyzed. The results from a numerical experiment and solution of some well-known COPs on personal computers and on the SKIT cluster supercomputer are presented. The study was supported by INTAS (Project 06-1000017-8909). __________ Translated from Kibernetika i Sistemnyi Analiz, No. 6, pp. 70–79, November–December 2007.     

Algorithms to construct a mathematical model of preferences using expert judgments

We consider the construction of the preference functional from rank estimates specified on a finite set of decisions. The proposed algorithm may be used in decision making models, pattern recognition, and construction of fuzzy-set membership functions.Translated from Kibernetika, No. 2, pp. 16–22, March–April, 1991.     

Identification of parameters in a dynamic problem of elasticity for a body with an inclusion

Explicit expressions for gradients of residual functionals are obtained for the identification of the parameters of elastic dynamic deformation of multicomponent bodies by gradient methods. The technique is based on the solutions of conjugate problems found using the theory of optimal control over states of multicomponent distributed systems that is developed by the authors. Translated from Kibernetika i Sistemnyi Analiz, No. 3, pp. 75–97, May–June 2OO9.     

Use of subjective and nonsubjective methodologies to evaluate lens radiation damage in exposed populations--an overview

The general epidemiological acceptability of prevalence, or incidence, for assessing risk of radiation cataract development has dictated an almost exclusive dependence on cataract onset as a measure of cataractogenicity for given doses of radiation. The advent of instrumentation capable of acquiring images amenable to quantitative analyses offers the possibility of exploiting "relative opacification" as an added, if not exclusive, parameter. This development is particularly important in efforts to assess populations such as that in the Altai, which are temporally far removed from their exposure and among whom there exists a large subset with extant cataracts. The new technologies, Scheimpflug and retroillumination imaging, combined with the application of the appropriate analytical algorithms can not only provide quantitative and nonsubjective assessment of lens transparency, but also serve as a means to immortalize the state of the pathology at the time of acquisition. Highly relevant to the assessment of an aging exposed population is the use of lens epithelial fragments as potential dosimeters. The material is routinely available as a result of cataract extraction procedures and is amenable to the application of a modified micronucleus (MN) assay. The MN assay in the lens has tremendous advantages over its use in other tissues for a number of reasons, not least of which is that lens MNs are extremely long-lived. Given the relative ease of application and its potential as a radiation bioindicator, the lens MN assay should be considered in any follow-up of populations exposed to ionizing radiation.     

Intelligent technologies of high-performance computing

This article analyzes mathematical and technological problems that arise in performing computational experiments on modern high-performance computers (supercomputers). As a means of overcoming the difficulties associated with the analysis and solution of computer model problems under conditions of approximate initial data on computers with parallel architectures, intelligent technologies are proposed that are based on intelligent software supported by architectural decisions of an intelligent computer and predictive system software.     

Simulation of Foreign Trade Activity under Transition Economy Conditions

A system of mathematical models of foreign economic activity under transition economy conditions is considered. Input-output optimization models and econometric micromodels are the basis of this system. Simulation using real data and the mentioned models is performed. The obtained results allow us to explain some features of the structure of the Ukrainian export.