Algorithms for convex optimization (Record no. 567535)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01509 a2200217 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250626100544.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250626b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781108741774 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 515.882 |
| Item number | V823a |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Vishnoi, Nisheeth K. |
| 245 ## - TITLE STATEMENT | |
| Title | Algorithms for convex optimization |
| Statement of responsibility, etc | Nisheeth K. Vishnoi |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | Cambridge University Press |
| Year of publication | 2021 |
| Place of publication | Cambridge |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xvi, 323p |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | In the last few years, algorithms for convex optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Mathematical optimization |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Convex functions |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Convex programming |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Vishnoi, Nisheeth K. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| In Acquisition | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 24/06/2025 | 2 | 2979.68 | 515.882 V823a | A186890 | 3972.90 | Books |