Vladikavkazskii Matematicheskii Zhurnal
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



Vladikavkaz. Mat. Zh.:
Year:
Volume:
Issue:
Page:
Find






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


Vladikavkazskii Matematicheskii Zhurnal, 2008, Volume 10, Number 4, Pages 39–48 (Mi vmj80)  

Nonstandard models and optimization

S. S. Kutateladze

Sobolev Institute of Mathematics, Novosibirsk, RUSSIA
References:
Abstract: This is an overview of a few possibilities that are open by model theory in optimization. Most attention is paid to the impact of infinitesimal analysis and Boolean valued models to convexity, Pareto optimality, and hyperapproximation.
Key words: Boolean valued analysis, nonstandard analysis, approximate efficiency, hyperapproximation, lattice normed space.
Received: 08.08.2008
Bibliographic databases:
Document Type: Article
UDC: 513.588
Language: English
Citation: S. S. Kutateladze, “Nonstandard models and optimization”, Vladikavkaz. Mat. Zh., 10:4 (2008), 39–48
Citation in format AMSBIB
\Bibitem{Kut08}
\by S.~S.~Kutateladze
\paper Nonstandard models and optimization
\jour Vladikavkaz. Mat. Zh.
\yr 2008
\vol 10
\issue 4
\pages 39--48
\mathnet{http://mi.mathnet.ru/vmj80}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=2461691}
\elib{https://elibrary.ru/item.asp?id=11606383}
Linking options:
  • https://www.mathnet.ru/eng/vmj80
  • https://www.mathnet.ru/eng/vmj/v10/i4/p39
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Владикавказский математический журнал
    Statistics & downloads:
    Abstract page:252
    Full-text PDF :109
    References:63
    First page:1
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024