Suchergebnisse - "POLYNOMIAL-TIME APPROXIMATION SCHEME"
-
1
Autoren:
Weitere Verfasser:
Quelle: Algorithmica. 86:2652-2675
Schlagwörter: FOS: Computer and information sciences, Approximation algorithms, Reoptimization, Steiner tree problem, Steiner tree, Polynomial-time approximation scheme, 0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, reoptimization, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), ddc:004, approximation algorithms
Dateibeschreibung: application/pdf
Zugangs-URL: http://arxiv.org/abs/1804.10791
https://hdl.handle.net/11388/221875
http://drops.dagstuhl.de/opus/institut_lipics.php?fakultaet=04
https://doi.org/10.4230/LIPIcs.ICALP.2018.19
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2018.19
https://hdl.handle.net/11697/179740
https://doi.org/10.4230/LIPIcs.ICALP.2018.19 -
2
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: FOS: Computer and information sciences, Data Structures and Algorithms, Optimization and Control (math.OC), Optimization and Control, Branch-and-bound algorithm, FOS: Mathematics, Data Structures and Algorithms (cs.DS), ddc:004, Polynomial-time approximation scheme, Knapsack problem, Parallel machine scheduling problem
Dateibeschreibung: application/pdf
-
3
Autoren: Chen, Y.
Quelle: 2023 2nd International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)
Proceedings-2023 2nd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2023Schlagwörter: FOS: Computer and information sciences, APPROXIMATION SCHEME, CLASSIFIEDS, Data Structures and Algorithms, Discrete Mathematics (cs.DM), ROUTING ALGORITHMS, COMBINATORIAL OPTIMIZATION PROBLEMS, Discrete Mathematics, F.2.0, G.2.2, LOGISTICS NETWORK, POLYNOMIAL APPROXIMATION, COMBINATORIAL OPTIMIZATION, OPTIMAL ROUTES, CAPACITATED VEHICLE ROUTING PROBLEM, CAPACITY VEHICLE ROUTING PROBLEMS, POLYNOMIAL TIME APPROXIMATION SCHEMES, APPROXIMATION ALGORITHMS, VEHICLES, Data Structures and Algorithms (cs.DS), VEHICLE ROUTING, TOTAL DISTANCES, POLYNOMIAL-TIME APPROXIMATION SCHEME, CAPACITY CONSTRAINTS
Dateibeschreibung: application/pdf
-
4
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Algorithmica. 85:3024-3057
Schlagwörter: correlation clustering, two-edge-connected augmentation, polynomial-time approximation scheme, ddc:004, planar graphs
Dateibeschreibung: application/pdf
-
5
Autoren:
Quelle: Operations Research Letters. 59:107238
Schlagwörter: fully polynomial-time approximation scheme (FPTAS), assortment optimization, Operations research, mathematical programming, product-specific capacities
Dateibeschreibung: application/xml
-
6
Autoren: et al.
Quelle: Theoretical Computer Science. 1024:114910
Schlagwörter: dynamic programming, Combinatorial optimization, strip packing, fully polynomial-time approximation scheme, Packing and covering in \(2\) dimensions (aspects of discrete geometry), complexity, Combinatorial aspects of packing and covering, Approximation algorithms
Dateibeschreibung: application/xml
-
7
Autoren:
Quelle: Electronic Research Archive, Vol 30, Iss 11, Pp 4209-4219 (2022)
Schlagwörter: T57-57.97, maximum delivery completion time, Applied mathematics. Quantitative methods, polynomial time approximation scheme, QA1-939, 0211 other engineering and technologies, scheduling, 0102 computer and information sciences, 02 engineering and technology, inclusive processing set restrictions, unbounded batch machines, 01 natural sciences, Mathematics
-
8
Autoren:
Schlagwörter: ddc:650, Approximation algorithm, Non-renewable resources, Polynomial-time approximation scheme, Strong NP-hardness, Scheduling, Weighted sum of completion times
Relation: https://hdl.handle.net/10419/315300
-
9
Autoren: Ali Gholami Rudi
Quelle: Scientific Annals of Computer Science, Vol XXXI, Iss 2, Pp 293-313 (2021)
-
10
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Annals of Operations Research. 304:85-107
Schlagwörter: FOS: Computer and information sciences, 12 Producción y consumo responsable, Makespan, ddc:000, Scheduling, 0211 other engineering and technologies, SDG 8 - Decent Work and Economic Growth, 02 engineering and technology, [INFO] Computer Science [cs], Dynamic programming, Polynomial-time approximation scheme (PTAS), 16. Peace & justice, Total weighted completion time, Time-of-use tariffs, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), 12 Responsible Consumption and Production
Dateibeschreibung: application/pdf
Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s10479-021-04059-3.pdf
http://arxiv.org/abs/1811.12657
https://hdl.handle.net/1871.1/59ce8341-6069-4ec5-9401-532de77bc77a
https://research.vu.nl/en/publications/59ce8341-6069-4ec5-9401-532de77bc77a
https://link.springer.com/content/pdf/10.1007/s10479-021-04059-3.pdf
https://www.narcis.nl/publication/RecordID/oai%3Aresearch.vu.nl%3Apublications%2F151c4d4e-8aeb-4d2e-972a-c7524815854e
https://par.nsf.gov/biblio/10294463-optimal-algorithms-scheduling-under-time -use-tariffs
https://ir.cwi.nl/pub/30756
http://doi.org/10.1007/s10479-021-04059-3
https://dblp.uni-trier.de/db/journals/corr/corr1811.html#abs-1811-12657
https://hdl.handle.net/10419/287048 -
11
Autoren:
Quelle: IEEE Access, Vol 9, Pp 119700-119711 (2021)
Schlagwörter: polynomial time approximation scheme, 0202 electrical engineering, electronic engineering, information engineering, Mobile edge computing, resource allocation, energy efficient, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, 7. Clean energy, computation offloading, TK1-9971, 12. Responsible consumption
-
12
Autoren:
Quelle: Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-14 (2022)
Schlagwörter: Mobile edge computing, Energy efficient, Computation offloading, Polynomial time approximation scheme, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/2192-113X
-
13
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Journal of Computer and System Sciences
Baier, Christel & Chatzigiannakis, Ioannis & Flocchini, Paola & Leonardi, Stefano (Eds.). (2019). 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019). Dagstuhl, Germany: Dagstuhl Publishing, pp. 131:1-131:14, Leibniz International Proceedings inInformatics (LIPIcs)(132)
Journal of computer and system sciences, 2020, Vol.114, pp.65-83 [Peer Reviewed Journal]Schlagwörter: FOS: Computer and information sciences, Temporal network, polynomial-time approximation scheme, 0102 computer and information sciences, Computational Complexity (cs.CC), 01 natural sciences, Computer Science - Computational Complexity, Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), #P-hard problem, ddc:004, temporal path, stochastic temporal graph
Dateibeschreibung: application/pdf
Zugangs-URL: https://drops.dagstuhl.de/opus/volltexte/2019/10707/pdf/LIPIcs-ICALP-2019-131.pdf
http://arxiv.org/abs/1903.03636
http://livrepository.liverpool.ac.uk/3034420/1/1903.03636v1.pdf
http://livrepository.liverpool.ac.uk/3092258/1/Stochastic_Temporal_JCSS_040320.pdf
https://drops.dagstuhl.de/opus/volltexte/2019/10707/
https://doi.org/10.4230/LIPIcs.ICALP.2019.131
https://drops.dagstuhl.de/opus/volltexte/2019/10707/pdf/LIPIcs-ICALP-2019-131.pdf/
https://dro.dur.ac.uk/28214/
https://dblp.uni-trier.de/db/conf/icalp/icalp2019.html#AkridaMNRSZ19
http://dro.dur.ac.uk/28214/
https://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-03636
https://arxiv.org/pdf/1903.03636.pdf
https://livrepository.liverpool.ac.uk/3092258/
https://dro.dur.ac.uk/30795/
https://www.sciencedirect.com/science/article/abs/pii/S0022000020300507
http://dblp.uni-trier.de/db/journals/corr/corr1903.html#abs-1903-03636
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2019.131
http://dro.dur.ac.uk/30795/1/30795.pdf
http://dro.dur.ac.uk/30795/
https://doi.org/10.1016/j.jcss.2020.05.005 -
14
Autoren: et al.
Weitere Verfasser: et al.
Quelle: ACM Transactions on Algorithms. 16:1-23
Schlagwörter: FOS: Computer and information sciences, 0211 other engineering and technologies, 0102 computer and information sciences, 02 engineering and technology, 01 natural sciences, Traveling Salesman Problem, Prize Collecting, Doubling Dimension, Computer Science - Data Structures and Algorithms, Polynomial Time Approximation Scheme, Data Structures and Algorithms (cs.DS), ddc:004, Steiner Tree Problem
Dateibeschreibung: application/pdf
Zugangs-URL: https://drops.dagstuhl.de/opus/volltexte/2018/9478/pdf/LIPIcs-ESA-2018-15.pdf
http://arxiv.org/abs/1710.07774
https://dl.acm.org/doi/10.1145/3378571
http://ui.adsabs.harvard.edu/abs/2017arXiv171007774C/abstract
https://dblp.uni-trier.de/db/journals/corr/corr1710.html#abs-1710-07774
https://dblp.uni-trier.de/db/conf/esa/esa2018.html#ChanJJ18
https://drops.dagstuhl.de/opus/volltexte/2018/9478/
https://doi.org/10.4230/LIPIcs.ESA.2018.15
https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2018.15 -
15
Autoren:
Quelle: Lecture Notes in Computer Science ISBN: 9783030532611
Schlagwörter: Strong NP-hardness, FOS: Computer and information sciences, QA Mathematics / matematika, Discrete Mathematics (cs.DM), Weighted sum of completion times, Scheduling, 9. Industry and infrastructure, ddc:650, 0211 other engineering and technologies, PTAS, 0102 computer and information sciences, 02 engineering and technology, Approximation algorithm, 01 natural sciences, 7. Clean energy, Computer Science - Data Structures and Algorithms, 8. Economic growth, Data Structures and Algorithms (cs.DS), Non-renewable resources, Polynomial-time approximation scheme, Computer Science - Discrete Mathematics
Dateibeschreibung: application/pdf; text
Zugangs-URL: http://real.mtak.hu/113036/1/B%C3%A9rczi2020_Chapter_SchedulingWithNon-renewableRes.pdf
http://arxiv.org/abs/1911.12138
https://link.springer.com/chapter/10.1007/978-3-030-53262-8_14
http://arxiv.org/pdf/1911.12138.pdf
https://rd.springer.com/chapter/10.1007/978-3-030-53262-8_14
https://dblp.uni-trier.de/db/journals/corr/corr1911.html#abs-1911-12138
https://arxiv.org/abs/1911.12138
https://hdl.handle.net/10419/315300
http://hdl.handle.net/10831/113105 -
16
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: budgeted matroid intersection, ddc:004, efficient polynomial-time approximation scheme, budgeted matching, Theory of computation
Dateibeschreibung: application/pdf
-
17
Autoren: et al.
Quelle: Operations Research Letters. 57:107159
Schlagwörter: polynomial-time approximation scheme, exact algorithm, mixed batch scheduling, Operations research, mathematical programming, rejection penalty, approximation algorithm
Dateibeschreibung: application/xml
-
18
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Discrete Applied Mathematics. 280:63-70
Schlagwörter: [INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG], Unit Disk Graph, 0211 other engineering and technologies, Polynomial Time Approximation Scheme, 0102 computer and information sciences, 02 engineering and technology, Approximation Algorithms, 01 natural sciences, Maximum Independent Set
Dateibeschreibung: application/pdf
-
19
Autoren: et al.
Weitere Verfasser: et al.
Quelle: Proceedings of AAMAS 2021 ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; https://hal.sorbonne-universite.fr/hal-03142810 ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2021, Online, United Kingdom. pp.1518-1520, ⟨10.5555/3463952.3464145⟩
Schlagwörter: Computational Social Choice, Preference Aggregation, Unavailable Candidate Model, Polynomial-Time Approximation Scheme, artificial intelligence, multi-agent system, Machine learning, dissatisfaction rule, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]
Geographisches Schlagwort: Online, United Kingdom
Verfügbarkeit: https://hal.sorbonne-universite.fr/hal-03142810
https://hal.sorbonne-universite.fr/hal-03142810v1/document
https://hal.sorbonne-universite.fr/hal-03142810v1/file/Rank_Aggregation_by_Dissatisfaction_Minimisation_in_the_Unavailable_Candidate_Model__AAMAS_extended_abstract_%20%281%29.pdf
https://doi.org/10.5555/3463952.3464145 -
20
Autoren: et al.
Weitere Verfasser: et al.
Quelle: 7th International Conference on Algorithmic Decision Theory
https://hal.sorbonne-universite.fr/hal-03384439
7th International Conference on Algorithmic Decision Theory, University of Toulouse, Nov 2021, Toulouse, France. pp.35-50, ⟨10.1007/978-3-030-87756-9_3⟩
https://www.irit.fr/ADT2021/Schlagwörter: Computational Social Choice, Preference Aggregation, Unavailable Candidate Model, Polynomial-Time Approximation Scheme, Artificial intelligence, voting rule, dissatisfaction, scoring rule, Machine learning, [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG], [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Full Text Finder
Nájsť tento článok vo Web of Science