Search Results - almost-linear time algorithms
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1
Authors: et al.
Source: 2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS)
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2
Authors:
Contributors:
Subject Terms: interior point methods, continuous optimization, ddc:004, Graph algorithms and data strucures
File Description: application/pdf
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Authors: et al.
Source: Proceedings of the 56th Annual ACM Symposium on Theory of Computing. :1165-1173
Subject Terms: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS)
Access URL: http://arxiv.org/abs/2311.18295
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4
Authors: et al.
Source: Communications of the ACM, 66 (12)
Subject Terms: 0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences
Access URL: http://hdl.handle.net/20.500.11850/643313
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Authors: et al.
Source: Lecture Notes in Computer Science ISBN: 9783030648428
Subject Terms: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, 0211 other engineering and technologies, Data Structures and Algorithms (cs.DS), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences
Access URL: http://arxiv.org/pdf/2010.05729
http://arxiv.org/abs/2010.05729
https://rd.springer.com/chapter/10.1007/978-3-030-64843-5_14
https://dblp.uni-trier.de/db/journals/corr/corr2010.html#abs-2010-05729
https://link.springer.com/chapter/10.1007/978-3-030-64843-5_14
https://dblp.uni-trier.de/db/journals/tcs/tcs873.html#HigashikawaKTW21
https://www.sciencedirect.com/science/article/pii/S0304397521002620 -
7
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Subject Terms: Data structures, Maximum flow, Minimum cost flow, Interior point methods, ddc:004, Convex optimization
File Description: application/pdf
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Authors: et al.
Source: Journal of the ACM; Jun2025, Vol. 72 Issue 3, p1-103, 103p
Subject Terms: DIRECTED acyclic graphs, DATA structures, INTERIOR-point methods, ISOTONIC regression, FLOWGRAPHS
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9
Authors: et al.
Index Terms: Computer Science - Data Structures and Algorithms, text
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Authors:
Index Terms: Maximum flow, Minimum cost flow, Data structures, Interior point methods, Convex optimization, InProceedings, Text, doc-type:ResearchArticle, publishedVersion
URL:
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2023.2
Is Part Of LIPIcs, Volume 261, 50th International Colloquium on Automata, Languages, and Programming (ICALP 2023) -
11
Authors:
Source: 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)
Subject Terms: FOS: Computer and information sciences, Algorithms, Algorithm design and analysis, Derandomization, Directed Laplacians, Random Walks, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), 0102 computer and information sciences, 0101 mathematics, 01 natural sciences
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12
Authors: et al.
Source: Journal of the ACM, 72 (3)
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS)Subject Terms: FOS: Computer and information sciences, convex optimization, interior point methods, Maximum flow, 0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, minimum-cost flow, data structures, Computer Science - Data Structures and Algorithms, Minimum cost flow, Data structures, Interior point methods, Convex optimization, Data Structures and Algorithms (cs.DS)
File Description: application/application/pdf
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13
Authors: et al.
Source: Communications of the ACM; Dec2023, Vol. 66 Issue 12, p85-92, 8p
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14
Authors:
Source: Sublinear Computation Paradigm ISBN: 9789811640940
Subject Terms: 11. Sustainability
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15
Authors: et al.
Contributors: et al.
Source: arXiv
Subject Terms: FOS: Computer and information sciences, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Data Structures and Algorithms (cs.DS), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences
File Description: application/pdf
Access URL: http://dl.acm.org/ft_gateway.cfm?id=3055463&type=pdf
http://arxiv.org/abs/1611.00755
https://arxiv.org/abs/1611.00755
https://dblp.uni-trier.de/db/journals/corr/corr1611.html#CohenKPPRSV16
https://dl.acm.org/doi/pdf/10.1145/3055399.3055463
http://ui.adsabs.harvard.edu/abs/2016arXiv161100755C/abstract
https://dspace.mit.edu/handle/1721.1/115991
https://orcid.org/0000-0002-7388-6936
https://orcid.org/0000-0002-6514-3761
https://orcid.org/0000-0003-0722-304X
https://orcid.org/0000-0002-4257-4198
http://hdl.handle.net/1721.1/115991 -
16
Authors: et al.
Source: Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing. :1262-1275
Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, list-decodable learning, Applied Mathematics, Machine Learning (stat.ML), 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Mathematical Sciences, Machine Learning (cs.LG), robust statistics, Statistics - Machine Learning, Information and Computing Sciences, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Data Structures and Algorithms (cs.DS), mixture models, clustering
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Authors:
Source: Mathematics of Operations Research, 1988 Feb 01. 13(1), 99-123.
Access URL: https://www.jstor.org/stable/3689867
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Authors: et al.
Subject Terms: Data Structures and Algorithms
Relation: http://arxiv.org/abs/2510.12619
Availability: http://arxiv.org/abs/2510.12619
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20
Authors: et al.
Source: Theoretical Computer Science. Jun2021, Vol. 873, p87-113. 27p.
Subject Terms: *POLYNOMIAL time algorithms, *ALGORITHMS, *DATA structures, *COMPUTER science, *UNITS of time
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