Introductory lectures on convex optimization: a basic course (Record no. 211323)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190410b 2004 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781402075537
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.6
Item number N3I6
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Nesterov, Yurii
9 (RLIN) 376483
245 ## - TITLE STATEMENT
Title Introductory lectures on convex optimization: a basic course
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2004
Place of publication, distribution, etc Massachusetts
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 236p.
Other physical details With index
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Applied optimization
9 (RLIN) 377823
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of contents (4 chapters)<br/><br/>1. Nonlinear Optimization<br/><br/>2. Smooth Convex Optimization<br/><br/>3. Nonsmooth Convex Optimization<br/><br/>4. Structural Optimization<br/>
520 ## - SUMMARY, ETC.
Summary, etc It was in the middle of the 1980s, when the seminal paper by Kar­ markar opened a new epoch in nonlinear optimization. The importance of this paper, containing a new polynomial-time algorithm for linear op­ timization problems, was not only in its complexity bound. At that time, the most surprising feature of this algorithm was that the theoretical pre­ diction of its high efficiency was supported by excellent computational results. This unusual fact dramatically changed the style and direc­ tions of the research in nonlinear optimization. Thereafter it became more and more common that the new methods were provided with a complexity analysis, which was considered a better justification of their efficiency than computational experiments. In a new rapidly develop­ ing field, which got the name "polynomial-time interior-point methods", such a justification was obligatory. Afteralmost fifteen years of intensive research, the main results of this development started to appear in monographs [12, 14, 16, 17, 18, 19]. Approximately at that time the author was asked to prepare a new course on nonlinear optimization for graduate students. The idea was to create a course which would reflect the new developments in the field. Actually, this was a major challenge. At the time only the theory of interior-point methods for linear optimization was polished enough to be explained to students. The general theory of self-concordant functions had appeared in print only once in the form of research monograph.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical optimization
9 (RLIN) 377819
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Convex functions
9 (RLIN) 377820
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics
9 (RLIN) 377821
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information theory
9 (RLIN) 377822
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Full call number Barcode Date last seen Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 10/04/2019 8 3.00 Slot 1680 (2 Floor, East Wing) 519.6 N3I6 199093 10/04/2019 4919.18 Books

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