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ref.bib
28
ref.bib
@@ -81,5 +81,33 @@ abstract = { This paper considers the problem of designing fast, approximate, co
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pages = {1334--1353},
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}
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@inproceedings{10.1145/3618260.3649730,
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author = {Chen, Lin and Lian, Jiayi and Mao, Yuchen and Zhang, Guochuan},
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title = {A Nearly Quadratic-Time FPTAS for Knapsack},
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year = {2024},
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isbn = {9798400703836},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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url = {https://doi.org/10.1145/3618260.3649730},
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doi = {10.1145/3618260.3649730},
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abstract = {We investigate the classic Knapsack problem and propose a fully polynomial-time approximation scheme (FPTAS) that runs in O(n + (1/)2) time. Prior to our work, the best running time is O(n + (1/)11/5) [Deng, Jin, and Mao’23]. Our algorithm is the best possible (up to a polylogarithmic factor), as Knapsack has no O((n + 1/)2−δ)-time FPTAS for any constant δ > 0, conditioned on the conjecture that (min, +)-convolution has no truly subquadratic-time algorithm.},
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booktitle = {Proceedings of the 56th Annual ACM Symposium on Theory of Computing},
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pages = {283–294},
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numpages = {12},
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keywords = {Approximation scheme, Knapsack},
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location = {Vancouver, BC, Canada},
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series = {STOC 2024}
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}
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@inbook{salowe_parametric,
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author = {Salowe, Jeffrey S.},
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title = {Parametric search},
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year = {1997},
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isbn = {0849385245},
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publisher = {CRC Press, Inc.},
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address = {USA},
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booktitle = {Handbook of Discrete and Computational Geometry},
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pages = {683–695},
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numpages = {13}
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}
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