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      by 
      Lu, Jiazhen, author.
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      Excerpt: 
      analytically. Adaptive algorithms expend the right amount of computational effort to meet the error tolerance
      by 
      Rajbhandari, Niraj, author.
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      computational complexity. To address these challenges, we propose an approach that samples a large and dynamic
      by 
      AlMubarak, Haidar Ali, author.
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      image, and second, by improving the computational complexity of feature analysis to make it viable as a
      by 
      Kloehn, Nick, author.
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      morphology. The first paper studies the relationship between nominal classification and complexity in
      by 
      Klaassen, W.K. Umayanganie, author.
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      -to-source compiler with respect to productivity of programming FPGAs using a computational chemistry code. We compare
      by 
      Hughes, Michael Patrick, author.
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      computational method, 3-D profiling, predicts that some 1725 proteins in the human proteome have two or more
      by 
      Wang, Jialei, author.
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      this thesis, we study the trade-offs between sample complexity, computational cost, communication and
      by 
      Lombardo, Daniel Marcus, author.
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      conclude that increased complexity does not improve the model's ability to describe the data. Next, we use
      by 
      Ghasemzadeh, Mohammad, author.
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      learning algorithms, deep neural networks and causal Bayesian analysis. The high computational complexity
      by 
      Rouse, Kathryn, author.
      Format: 
      Excerpt: 
      algorithms may be used to reduce both the communication and computational complexity of matrix multiplication
      by 
      Jasim, Mohammed, author.
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      high computational complexity, power consumption, energy inefficiency, as well as low directivities and
      by 
      Abrantes, Richard Jun Espino, author.
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      techniques to accurately simulate the atomic kinetics in reasonable computational times, without restricting
      by 
      Herrema, Austin J., author. (orcid)0000-0002-3643-7867
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      . Mitigation of the issues of workflow complexity, data volume, and computational expense would allow designers
      by 
      Chen, Wenxiang, author.
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      fundamental problem for computational complexity theory, and many real-world problems can be encoded as SAT
      by 
      Wang, Tianheng, author.
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      communication overhead and computational complexity. The performance improvement is shown via numerical and
      by 
      Luo, Wenzhou, author.
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      computational complexity and non-convex property. As the large number source localization problem has wide
      by 
      Cook, Sarah, author.
      Format: 
      Excerpt: 
      , to select routes for different journey types. By avoiding the computational complexity of previous
      by 
      Türkkan, Ömer Anil, author.
      Format: 
      Excerpt: 
      element modeling. However the modeling complexity and low computational efficiency make it not suitable
      by 
      Chen, Desai, author.
      Format: 
      Excerpt: 
      extraordinary complexity. Arranging materials to form functional structures can achieve a much wider range of
      by 
      Ghazi, Badih, author.
      Format: 
      Excerpt: 
      problems has been well-studied in information theory and its computational complexity has been wide open.
      by 
      Nakarmi, Ukash, author. (orcid)0000-0002-5351-3956
      Format: 
      Excerpt: 
      because of several inherent issues such as lack of sufficient training data, computational complexity, and
      by 
      Wuu, Angela, author.
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      interest, both as a problem in computational group theory and as a new and natural problem in NP of
      by 
      Luckey, Georgia Mueller, author.
      Format: 
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      add significant complexity to describing and analyzing these relationships. This dissertation focuses
      by 
      Li, Quan, author.
      Format: 
      Excerpt: 
      complexity and computational cost for reconstructing (approximately) an unknown low-rank matrix. The novelty