Modernization of Means for Analyses And Solution of Nonlinear Programming Problems

• Autorzy: Alexandr Trunov
• Języki publikacji: EN

Abstrakty

EN

The problems of optimization for nonlinear programming (NLP) with constraints inequalities are considered. Definition of condition-indicator as quantitative criterion of the properties of Lagrange function is justified. Application of indicator to increasing degree of completeness for system in NLP for finance and business problems with constraints inequalities are obtained. The new Lagrange function with square of each component of vector Lagrange multipliers for nonlinear objective function simultaneously with criterion-indicator as a source of additional equations is investigated. The conditions, in which the dimensionality of the vector of strategies and the number of constraints doesn't effects on the uniqueness of the optimization problem solution is received and discussed.(original abstract)

Słowa kluczowe

EN

Optimalization; Neuro-Linguistic Programming (NLP); Nonlinear systems; Nonlinear programming; Lagrange multiplier

PL

Optymalizacja; Programowanie neurolingwistyczne (NLP); Systemy nieliniowe; Programowanie nieliniowe; Mnożniki Lagrange'a

• Czasopismo: Metody Ilościowe w Badaniach Ekonomicznych / Szkoła Główna Gospodarstwa Wiejskiego
• Rocznik: 2015
• Tom: 16(XVI)
• Numer: nr 2
• Strony: 133--141

Twórcy

autor

Alexandr Trunov

• Petro Mohyla Black Sea State University, Ukraine

Bibliografia

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