Classical and Modern Optimization (Record no. 60262)

000 -LEADER
fixed length control field 02013nam a22002177a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240509b 2023|||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781944660529 (PB)
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER
Universal Decimal Classification number 517
Item number CAR
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Carlier, Guillaume
245 ## - TITLE STATEMENT
Title Classical and Modern Optimization
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New Jersey
Name of publisher World Scientific
Year of publication 2023
300 ## - PHYSICAL DESCRIPTION
Number of Pages xiii, 371p.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Topological and functional analytic preliminaries <br/> 2. Differential calculus <br/> 3. Convexity<br/> 4. Optimality conditions for differentiable optimization <br/> 5. Problems depending on a parameter <br/> 6. Convex duality and applications <br/> 7. Iterative methods for convex minimization <br/> 8. When optimization and data meet <br/> 9. An invitation to the calculus of variations
520 ## - SUMMARY, ETC.
Summary, etc The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long history and remains active today, particularly in the development of machine learning. Classical and Modern Optimization presents a self-contained overview of classical and modern ideas and methods in approaching optimization problems. The approach is rich and flexible enough to address smooth and non-smooth, convex and non-convex, finite or infinite-dimensional, static or dynamic situations. The first chapters of the book are devoted to the classical toolbox: topology and functional analysis, differential calculus, convex analysis and necessary conditions for differentiable constrained optimization. The remaining chapters are dedicated to more specialized topics and applications. Valuable to a wide audience, including students in mathematics, engineers, data scientists or economists, Classical and Modern Optimization contains more than 200 exercises to assist with self-study or for anyone teaching a third- or fourth-year optimization class.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Mathematical Optimization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Convexity
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Calculus of Variations
690 ## - LOCAL SUBJECT ADDED ENTRY--TOPICAL TERM (OCLC, RLIN)
Topical term or geographic name as entry element Mathematics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type BOOKS
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Full call number Accession Number Koha item type Owner (If the Item is Gratis)
        IMSc Library IMSc Library First Floor, Rack No: 31, Shelf No: 43 517 CAR 77805 BOOKS NBHM through KNR
The Institute of Mathematical Sciences, Chennai, India

Powered by Koha