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Faster algorithm and sharper analysis for constrained Markov decision process. [PDF]
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Prediction of Nitrogen Injection Displacement Efficiency for High-Efficiency Methane Emission Reduction in Coal Mines: A TCN-BiGRU-MHA Hybrid Model. [PDF]
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Unsupervised learning of spatially varying regularization for diffeomorphic image registration. [PDF]
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Latent space reconstruction for missing data problems in CT. [PDF]
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The Hidden Complexities of Electrochemically Active Surface Area Measurements. [PDF]
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Nonsmooth Optimization Methods
2020This chapter is devoted to the description of some general methods of nonsmooth optimization. The first two—the standard subgradient and the proximal bundle methods—form the basis for numerical nonsmooth optimization. In addition, we will focus on the methods that will be utilized in the clustering algorithms given in Part II of this book. They are the
Adil M. Bagirov +2 more
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