Suchergebnisse - "Polynomial time approximation scheme"
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Quelle: Proceedings of the 32nd International Conference on Real-Time Networks and Systems. :175-186
Dateibeschreibung: application/pdf
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Weitere Verfasser:
Schlagwörter: Approximation schemes, Min-sum objective, ddc:004, Scheduling algorithms
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: Discrete Applied Mathematics. Dec2025, Vol. 377, p390-401. 12p.
Schlagwörter: *SCHEDULING, *APPROXIMATION algorithms, *PRODUCTION scheduling, *LINEAR programming
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Autoren: et al.
Quelle: Lecture Notes in Computer Science ISBN: 9789819663880
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Autoren: In-Jae Jeong
Quelle: Engineering Optimization. 57:1323-1342
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A polynomial‐time approximation scheme for the maximal overlap of two independent Erdős–Rényi graphs
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Quelle: Random Structures & Algorithms. 65:220-257
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Autoren: et al.
Quelle: Annals of Operations Research. 335:185-204
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Autoren: Majid Khonji
Quelle: 2023 62nd IEEE Conference on Decision and Control (CDC). :1782-1789
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Quelle: Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering. :73-79
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: RAIRO - Operations Research. 57:1-16
Schlagwörter: dynamic programming, 0103 physical sciences, 0211 other engineering and technologies, scheduling, [MATH] Mathematics [math], 02 engineering and technology, FPTAS, 01 natural sciences, Approximation algorithms
Dateibeschreibung: application/pdf
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Autoren: Meka, Raghu
Quelle: The Annals of Applied Probability, 2015 Apr 01. 25(2), 465-476.
Zugangs-URL: http://www.jstor.org/stable/24519924
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Asymptotic Quasi-Polynomial Time Approximation Scheme for Resource Minimization for Fire Containment
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Quelle: Algorithmica. 84:2462-2479
Schlagwörter: Resource Management, 0211 other engineering and technologies, Asymptotic Approximation Scheme, 0102 computer and information sciences, 02 engineering and technology, ddc:004, 01 natural sciences, Firefighter Problem, Fire Containment, Approximation Algorithm
Dateibeschreibung: application/pdf
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Autoren: et al.
Quelle: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). :11695-11702
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Autoren: et al.
Weitere Verfasser: et al.
Quelle: Proceedings of the Genetic and Evolutionary Computation Conference. :1381-1389
Schlagwörter: FOS: Computer and information sciences, Approximation scheme, Computer Science - Neural and Evolutionary Computing, 0102 computer and information sciences, 02 engineering and technology, Simulated annealing Approximation scheme Minimum spanning trees Runtime analysis Theory, 01 natural sciences, Simulated annealing, Minimum spanning trees, Computer Science - Data Structures and Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Theory, [INFO]Computer Science [cs], Data Structures and Algorithms (cs.DS), Runtime analysis, Neural and Evolutionary Computing (cs.NE)
Zugangs-URL: http://arxiv.org/abs/2204.02097
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Quelle: European Journal of Operational Research. 300:35-45
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Quelle: Theoretical Computer Science. 922:438-446
Schlagwörter: 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
Zugangs-URL: http://arxiv.org/abs/2201.04196
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Autoren: et al.
Quelle: Mathematics of Operations Research, 2009 Aug 01. 34(3), 674-685.
Zugangs-URL: https://www.jstor.org/stable/40538438
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Dateibeschreibung: application/pdf
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Quelle: Lecture Notes in Computer Science ISBN: 9783031343469
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