Classical and Modern Optimization (Record no. 60262)
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000 -LEADER | |
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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 |
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) |
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IMSc Library | IMSc Library | First Floor, Rack No: 31, Shelf No: 43 | 517 CAR | 77805 | BOOKS | NBHM through KNR |