Avtomatika i Telemekhanika
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor
Guidelines for authors
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Avtomat. i Telemekh.:
Year:
Volume:
Issue:
Page:
Find






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


Avtomatika i Telemekhanika, 1980, Issue 3, Pages 135–144 (Mi at7002)  

Developing Systems

On numerical solution of convex dynamic economy problems

A. K. Pestryakov

Moscow
Abstract: A class of economic problems is formulated as a problem of convex programming in a Hilbert space. Algorithms are suggested which employ dual methods combined with the method of a remote point. The sequence of controls obtained in these algorithms is shown to converge strongly to solution of the original problem.

Received: 08.12.1978
Bibliographic databases:
Document Type: Article
UDC: 519.8
Language: Russian
Citation: A. K. Pestryakov, “On numerical solution of convex dynamic economy problems”, Avtomat. i Telemekh., 1980, no. 3, 135–144; Autom. Remote Control, 41:3 (1980), 399–407
Citation in format AMSBIB
\Bibitem{Pes80}
\by A.~K.~Pestryakov
\paper On numerical solution of convex dynamic economy problems
\jour Avtomat. i Telemekh.
\yr 1980
\issue 3
\pages 135--144
\mathnet{http://mi.mathnet.ru/at7002}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=623944}
\zmath{https://zbmath.org/?q=an:0449.90019}
\transl
\jour Autom. Remote Control
\yr 1980
\vol 41
\issue 3
\pages 399--407
Linking options:
  • https://www.mathnet.ru/eng/at7002
  • https://www.mathnet.ru/eng/at/y1980/i3/p135
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Avtomatika i Telemekhanika
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024