Collapsing and Separating Completeness Notions Under Average-Case and Worst-Case Hypotheses

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Gu, Xiaoyang, et al. “Collapsing and Separating Completeness Notions Under Average-Case and Worst-Case Hypotheses”. Theory of Computing Systems, vol. 51, no. 2, 2011, pp. 248-65, https://doi.org/10.1007/s00224-011-9365-0.
Gu, X., Hitchcock, J. M., & Pavan, A. (2011). Collapsing and Separating Completeness Notions Under Average-Case and Worst-Case Hypotheses. Theory of Computing Systems, 51(2), 248-265. https://doi.org/10.1007/s00224-011-9365-0
Gu, Xiaoyang, John M. Hitchcock, and A. Pavan. “Collapsing and Separating Completeness Notions Under Average-Case and Worst-Case Hypotheses”. Theory of Computing Systems 51, no. 2 (2011): 248-65. https://doi.org/10.1007/s00224-011-9365-0.
Gu X, Hitchcock JM, Pavan A. Collapsing and Separating Completeness Notions Under Average-Case and Worst-Case Hypotheses. Theory of Computing Systems. 2011;51(2):248-65.
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  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
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2002
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