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Improved methods for determining the efficiency of property insurance

Gribanova N.A. Postgraduate Department of State and municipal finances USUE, Senior Lecturer, Department of Accounting and Auditing, Vologda State Technical University ( nagry@yandex.ru )

Journal: Finance and credit, #47, 2010

The article deals with scientific and methodological aspects of the problem of increasing the efficiency of property insurance in the regions. Relevance of the study due to a lack in the current period, a single methodological apparatus determine the effectiveness of insurance. The author offers a method of measuring the effectiveness of property insurance based on the three blocks of performance, design formulas are proposed by the author.


The algorithm for solving linear programming problems through inverse calculations

Gribanova E.B. Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russian Federation ( katag@yandex.ru )

Journal: Financial Analytics: Science and Experience, #9, 2017

Importance The paper studies the linear programming problems with a given number of nonzero solution components. This condition is due to the positive effect of the diversity of proposals and the need to reduce the risk of investment projects.
Objectives The article aims to develop a solution algorithm for linear programming problems with a given number of nonzero coordinates of solution vector.
Methods This work uses the method of solving inverse problems through inverse calculations. To solve classical linear programming problems, I used the simplex method.
Results I have developed solution algorithms for linear programming problems based on inverse calculation.
Conclusions and Relevance The developed algorithms can be used in solving linear programming problems. These algorithms are simple in computer realization. Also the algorithms based on inverse calculation can be used to find the initial solution of linear programming problems. In this case, the coefficients of relative importance are selected by means of the iterative procedure. The suggested algorithms can be used in decision support systems.


Optimization models to select social network groups for advertising

Gribanova E.B. Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russian Federation ( katag@yandex.ru )

Journal: Economic Analysis: Theory and Practice, #10, 2017

Importance The article addresses optimization of marketing activities in social networks, particularly, the determination of groups for advertising based on its cost and characteristics that determine information dissemination about products and services among users.
Objectives The aims are to develop a model to select groups of a social network for advertising, to modify and implement stochastic algorithms to solve the integer programming problems and compare their characteristics.
Methods To develop optimization models, I use methods of operations research. The study also employs methods of random search for boundary points to solve the problem of integer programming, in particular, a simple random search, adaptive search and a search with varying probabilities. The multidimensional comparative analysis is applied to formulate integral characteristics of arguments that are used in the adaptive search algorithm.
Results I developed models to select groups of social network for advertising, modified the adaptive search algorithm for boundary points, implying the calculation of an integral indicator of each variable in the problem based on normalized values, performed computational experiments and comparison of results obtained through the considered algorithms. The most accurate solution is obtained using the adaptive algorithm; the simplest to implement is a random search algorithm.
Conclusions Economic agents may use the developed models to select groups of social network for advertising. The presented modification of adaptive search algorithm enables to solve integer programming problems.


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