NLU Meghalaya Library

Online Public Access Catalogue (OPAC)

Beyond worst-case analysis of algorithms / (Record no. 9577)

MARC details
000 -LEADER
fixed length control field 04386nam a2200349 i 4500
001 - CONTROL NUMBER
control field CR9781108637435
003 - CONTROL NUMBER IDENTIFIER
control field UkCbUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240830161525.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190128s2021||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108637435 (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781108494311 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.A43
Item number B48 2021
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.13
Edition number 23
245 00 - TITLE STATEMENT
Title Beyond worst-case analysis of algorithms /
Statement of responsibility, etc. edited by Tim Roughgarden.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cambridge :
Name of producer, publisher, distributor, manufacturer Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2021.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xvii, 686 pages) :
Other physical details digital, PDF file(s).
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 18 Dec 2020).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Machine generated contents note: Forward Dan Spielman; Preface; 1. Introduction Tim Roughgarden; Part I. Refinements of Worst-Case Analysis: 2. Parameterized algorithms Fedor Fomin, Daniel Lokshtanov, Saket Saurabh, and Meirav Zehavi; 3. From adaptive analysis to instance optimality J�er�emy Barbay; 4. Resource augmentation Tim Roughgarden; Part II. Deterministic Models of Data: 5. Perturbation resilience Konstantin Makarychev and Yury Makarychev; 6. Approximation stability and proxy objectives Avrim Blum; 7. Sparse recovery Eric Price; Part III. Semi-Random Models: 8. Distributional analysis Tim Roughgarden; 9. Introduction to semi-random models Uriel Feige; 10. Semi-random stochastic block models Ankur Moitra; 11. Random-order models Anupam Gupta and Sahil Singla; 12. Self-improving algorithms C. Seshadhri; Part IV. Smoothed Analysis: 13. Smoothed analysis of local search Bodo Manthey; 14. Smoothed analysis of the simplex method Daniel Dadush and Sophie Huiberts; 15. Smoothed analysis of Pareto curves in multiobjective optimization Heiko R�oglin; Part V. Applications in Machine Learning and Statistics: 16. Noise in classification Maria-Florina Balcan and Nika Haghtalab; 17. Robust high-dimensional statistics Ilias Diakonikolas and Daniel Kane; 18. Nearest-neighbor classification and search Sanjoy Dasgupta and Samory Kpotufe; 19. Efficient tensor decomposition Aravindan Vijayaraghavan; 20. Topic models and nonnegative matrix factorization Rong Ge and Ankur Moitra; 21. Why do local methods solve nonconvex problems? Tengyu Ma; 22. Generalization in overparameterized models Moritz Hardt; 23. Instance-optimal distribution testing and learning Gregory Valiant and Paul Valiant; Part VI. Further Applications: 24. Beyond competitive analysis Anna R. Karlin and Elias Koutsoupias; 25. On the unreasonable effectiveness of satisfiability solvers Vijay Ganesh and Moshe Vardi; 26. When simple hash functions suffice Kai-Min Chung, Michael Mitzenmacher and Salil Vadhan; 27. Prior-independent auctions Inbal Talgam-Cohen; 28. Distribution-free models of social networks Tim Roughgarden and C. Seshadhri; 29. Data-driven algorithm design Maria-Florina Balcan; 30. Algorithms with predictions Michael Mitzenmacher and Sergei Vassilvitskii..
520 ## - SUMMARY, ETC.
Summary, etc. There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer algorithms.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer programming.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Roughgarden, Tim,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781108494311
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1017/9781108637435">https://doi.org/10.1017/9781108637435</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type eBooks
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Date acquired Total checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Computer Science Central Library Central Library 30/08/2024   EB0122 30/08/2024 30/08/2024 eBooks