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Robust optimization- [electronic resource]
Robust optimization - [electronic resource] : Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Ne...
Robust optimization- [electronic resource]

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Material Type  
 단행본
Date and Time of Latest Transaction  
20121210094821
ISBN  
9781400831050 (electronic bk.)
ISBN  
1400831059 (electronic bk.)
ISBN  
9780691143682 (Cloth)
ISBN  
0691143684 (Cloth)
LC Callnumber  
QA402.5-.B445 2009eb
DDC  
519.6-22
Author  
Ben-Tal, A.
Title/Author  
Robust optimization - [electronic resource] : Aharon Ben-Tal, Laurent El Ghaoui, Arkadi Nemirovski
Publish Info  
Princeton : Princeton University Press, c2009
Material Info  
1 online resource (xxii, 542 p) : ill.
총서명  
Princeton series in applied mathematics
서지주기  
Includes bibliographical references and index.
Abstracts/Etc  
요약Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject. Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to opera.
Subject Added Entry-Topical Term  
Robust optimization
Subject Added Entry-Topical Term  
Linear programming
Subject Added Entry-Topical Term  
MATHEMATICS Optimization.
Added Entry-Personal Name  
El Ghaoui, Laurent.
Added Entry-Personal Name  
Nemirovskiĭ, Arkadiĭ Semenovich.
Additional Physical Form Entry  
Print versionBen-Tal, A. Robust optimization. Princeton : Princeton University Press, c2009 9780691143682 0691143684 (DLC) 2009013229 (OCoLC)318672208
Series Added Entry-Uniform Title  
Princeton series in applied mathematics.
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
Control Number  
joongbu:396928

MARC

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■520    ▼aRobust  optimization  is  still  a  relatively  new  approach  to  optimization  problems  affected  by  uncertainty,  but  it  has  already  proved  so  useful  in  real  applications  that  it  is  difficult  to  tackle  such  problems  today  without  considering  this  powerful  methodology.  Written  by  the  principal  developers  of  robust  optimization,  and  describing  the  main  achievements  of  a  decade  of  research,  this  is  the  first  book  to  provide  a  comprehensive  and  up-to-date  account  of  the  subject.  Robust  optimization  is  designed  to  meet  some  major  challenges  associated  with  uncertainty-affected  optimization  problems:  to  opera.
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