Conditional gradient methods: from core principles to AI applications (Record no. 64216)

MARC details
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fixed length control field 02516 a2200385 4500
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781611978551
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.6 BRA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Braun, Gabor
245 ## - TITLE STATEMENT
Title Conditional gradient methods: from core principles to AI applications
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Philadelphia:
Name of publisher, distributor, etc Society for Industrial and Applied Mathematics (SIAM),
Date of publication, distribution, etc 2025.
300 ## - PHYSICAL DESCRIPTION
Extent ix, 195p.:
Other physical details col., ill.; pbk.:
Dimensions 25 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title MOS-SIAM Series on Optimization
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Include Bibliography, Glossary and Index
520 ## - SUMMARY, ETC.
Summary, etc Conditional Gradient Methods: From Core Principles to AI Applications offers a definitive and modern treatment of one of the most elegant and versatile algorithmic families in optimization: the Frank–Wolfe method and its many variants. Originally proposed in the 1950s, these projection-free techniques have seen a powerful resurgence, now playing a central role in machine learning, signal processing, and large-scale data science. This comprehensive monograph guides readers through the foundations of constrained optimization and into cutting-edge territory—including stochastic, online, and distributed settings—by uniting deep theoretical insights with practical considerations, and uses a clear narrative, rigorous proofs, and illuminating illustrations to demystify adaptive variants, away-steps, and the nuances of dealing with structured convex sets. Most of the algorithms in the book are implemented in the FrankWolfe.jl Julia package and available on a supplementary website. https://epubs.siam.org/doi/book/10.1137/1.9781611978568
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Conditional Gradient Methods
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Topical term or geographic name as entry element Frank–Wolfe Algorithm
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Constrained Optimization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element First-order Methods
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Topical term or geographic name as entry element Linear Minimization Oracle (LMO)
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Topical term or geographic name as entry element Projection-free Algorithms
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Topical term or geographic name as entry element Convex Optimization
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Topical term or geographic name as entry element Adaptive Step Sizes
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Topical term or geographic name as entry element Away-Step Frank–Wolfe
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Topical term or geographic name as entry element Fully-Corrective Frank–Wolfe
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Topical term or geographic name as entry element Mathematical Optimization Society
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Personal name Carderera, Alejandro
Relator term Co-author
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Personal name Combettes, Cyrille W.
Relator term Co-author
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Personal name Hassani, Hamed
Relator term Co-author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Karbasi, Amin
Relator term Co-author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Mokhtari, Aryan
Relator term Co-author
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pokutta, Sebastian
Relator term Co-author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 12/02/2026 Himanshu Books 6702.72   519.6 BRA 036691 12/02/2026 1 6702.72 Books


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