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Category G.1.6 Optimization

Constrained optimization Convex programming Global optimization Gradient methods Integer programming Least squares methods Linear programming Nonlinear programming Quadratic programming methods Simulated annealing Stochastic p
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Current category: Top  ::  ITHEA Classification Structure  ::  G. Mathematics of Computing  ::  G.1 NUMERICAL ANALYSIS  ::  G.1.6 Optimization
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Article MINIMIZATION OF EMPIRICAL RISK IN LINEAR CLASSIFIER PROBLEM Abstract: Mixed-integer formulation of the problem of minimization of empirical risk is considered. Some possibilities of decision of the continuous relaxation of this problem are analyzed. Compariso 
Article NON SMOOTH OPTIMIZATION METHODS IN THE PROBLEMS OF CONSTRUCTING A LINEAR ... Abstract: We consider the technique using nonsmooth optimization methods for pattern recognition problems. The results of numerical experiments of comparison of the proposed approach with support vec 
Article NUMERICAL INTEGRATION BY GENETIC ALGORITHMS Abstract: It is shown that genetic algorithms can be used successfully in problems of definite integral calculation especially when an integrand has a primitive which can't be expressed analytically  
Article OPTIMAL DESIGN OF INTELLIGENT CONTROL SYSTEMS OF STEAM TURBINE ... Abstract: One of the basic engineering problems of the automatic control systems synthesis for steam turbines is systems quality indices optimization task. The features of such task are defined by pl 
Article OPTIMAL DESIGN OF INTELLIGENT CONTROL SYSTEMS OF STEAM TURBINE USING GENETIC ... Abstract: One of the basic engineering problems of the automatic control systems synthesis for steam turbines is systems quality indices optimization task. The features of such task are defined by pl 
Article OPTIMAL SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS OF ATOMIC POWER ... Abstract: The paper is devoted to the development of a perspective concept of atomic station power block intelligent automatic control systems synthesis on the basis of mathematical models and numeri 
Article OPTIMAL SYNTHESIS OF INTELLIGENT CONTROL SYSTEMS OF ATOMIC POWER STATION USING G Abstract: The paper is devoted to the development of a perspective concept of atomic station power block intelligent automatic control systems synthesis on the basis of mathematical models and numeri 
Article PROTEIN STRUCTURE PREDICTION ON A THREE-DIMENSIONAL TRIANGULAR LATTICE Abstract: The protein tertiary structure prediction problem is examined, which is one of up-to-date problems of computational biology. The results received earlier for two-dimensional case are extend 
Article RECURRENT PROCEDURE IN SOLVING THE GROUPING INFORMATION PROBLEM IN APPLIED... Abstract: Number of The grouping information problem in its two basic manifestations recovering function, represented by empirical data (observations) and problem of classification (clusterization) a 
Article REFERENCE-NEIGHBOURHOOD SCALARIZATION FOR MULTIOBJECTIVE INTEGER LINEAR ... Abstract: Various real problems can be modeled as multicriteria optimization problems (MOP). In the general case, there is no single solution that optimizes all the criteria, but there is a set of so 
Article REPRESENTATION OF NEURAL NETWORKS BY DYNAMICAL SYSTEMS Abstract: Representation of neural networks by dynamical systems is considered. The method of training of neural networks with the help of the theory of optimal control is offered. Keywords: neura 
Article Solution Algorithm of Multicriteria Problems of Lexicographic Optimization ... Abstract: In the paper a multicriteria problem of lexicographic optimization with convex functions of the criteria on the feasible set described by linear restrictions is considered. One of the possi 
Article SPREADING THE MOORE - PENROSE PSEUDO INVERSE ON MATRICES EUCLIDEAN SPACES: ... Abstract: In the paper the development of operating technique for matrices Euclidean spaces is represented. Particularly, within such development transfer of linear operators’ technique with preser 
Article TWO APPROACHES TO ONE OPTIMIZATION PROBLEM IN RECOGNITION THEORY Abstract: In recognition theory a number of optimization problems appear. The search for the maximum solvable subsystem of the system of linear inequalities is one of these tasks. In this paper two ap 
Article VECTORS AND MATRIXES IN GROUPING INFORMATION PROBLEM Abstract: Grouping information problem appears in application in two main forms. These are the problem of recovering function, represented by its observations and the problem of classification (clust 
Article VECTORS AND MATRIXES LEAST SQUARES METHOD: FOUNDATION AND APPLICATION ... Abstract: In this paper the application of the least squares method (LSM) has been substantiated. Case of matrix of observations for the arguments and values of the renewable function of the linear r 
Article АЛГОРИТМ ПОСТРОЕНИЯ ВЫПУКЛОГО ПРОДОЛЖЕНИЯ Аннотация: Предлагается алгоритм сведения полиномиальной задачи на полиперестановках к оптимизации выпукл� 
Article ЕВКЛИДОВЫ ПРОСТРАНСТВА ЧИСЛОВЫХ ВЕКТОРОВ И Аннотация: Определены и рассмотрены базовые линейные структуры матричных евклидовых пространств, которые е� 
Article ИССЛЕДОВАНИЕ МНОГОКРИТЕРИАЛЬНОЙ ЗАДАЧИ ОП� Abstract: The problem of multicriteria fuzzy portfolio optimization is considered and investigated. This problem include two main criteria – portfolio profitableness and risk . A mathematical model  
Article КОМПЛЕКСНЫЙ АНАЛИЗ РИСКА БАНКРОТСТВА КОРПОРАЦИЙ В УСЛОВИЯХ НЕОПРЕДЕЛЕННОСТИ Abstract: Different methods of enterprise bankruptcy risk analysis are considered in the paper. Discriminant analysis method of E.Altman and fuzzy method of Nedosekin are described. The method of ban 
Article ПОСТРОЕНИЕ НЕЛИНЕЙНЫХ КЛАССИФИКАТОРОВ В СЛ Abstract: Рассматриваются задачи построения нелинейных классификаторов для случая многих классов. Для произвол� 
Article РАСПОЗНАВАНИЕ ЗДАНИЙ НА СПУТНИКОВЫХ СНИМКА Аннотация. В работе рассматривается применение нечеткого классификатора NEFClass к задаче распознавания зданий 
Article ‘FEATURE VECTORS’ IN GROUPING INFORMATION PROBLEM IN APPLIED MATHEMATICS: .. Abstract: The grouping information problem manifests itself in two main forms. Namely these are: recovering function, represented by empirical data (observations) and problem of classification (cluste 

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