Problemy Upravleniya
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Probl. Upr.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Problemy Upravleniya, 2005, Issue 1, Pages 51–55 (Mi pu411)  

This article is cited in 1 scientific paper (total in 1 paper)

Problemno oriented management system

Models and methods of security insurance programs

I. V. Burkovaa, A. V. Tolstykha, B. K. Uandykovb

a Institute of Control Sciences, Russian Academy of Sciences
b Republican State-owned East Kazakhstan venture Waterways
Full-text PDF (146 kB) Citations (1)
References:
Abstract: An approach to security insurance design based on a complex security level estimation system is proposed. The problem of cost minimization for the achievement of the required complex estimate is formulated and solved.
Document Type: Article
UDC: 65.012
Language: Russian
Citation: I. V. Burkova, A. V. Tolstykh, B. K. Uandykov, “Models and methods of security insurance programs”, Probl. Upr., 2005, no. 1, 51–55
Citation in format AMSBIB
\Bibitem{BurTolUan05}
\by I.~V.~Burkova, A.~V.~Tolstykh, B.~K.~Uandykov
\paper Models and methods of security insurance programs
\jour Probl. Upr.
\yr 2005
\issue 1
\pages 51--55
\mathnet{http://mi.mathnet.ru/pu411}
Linking options:
  • https://www.mathnet.ru/eng/pu411
  • https://www.mathnet.ru/eng/pu/v1/p51
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Проблемы управления
    Statistics & downloads:
    Abstract page:136
    Full-text PDF :78
    References:28
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024