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Computationally efficient whole-genome quantile regression at biobank scale. [PDF]
Wang F +7 more
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RegularizedOptimization.jl: A julia framework for regularized and nonsmooth optimization
Maxence Gollier +6 more
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MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma. [PDF]
Zeng Y +8 more
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Gas Turbine Blade Failures Repaired Using Laser Metal Additive Remanufacturing. [PDF]
Chen C, Zhang M, Liu H, Yang Q.
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Equivalent-Uniform-Dose Optimization for Spatially Fractionated Radiation Therapy. [PDF]
Zhu YN, Zhang W, Lin Y, Gao H.
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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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Nonsmooth Optimization Algorithms
1996Quasidifferentiable and codifferentiable optimization algorithms are based on gradientlike, descent, iterative techniques whereas gradient information is replaced by the setvalued quasidifferential or the codifferential. Then the steepest descent finding subproblems are appropriately replaced by quadratic programming subproblems with a polyhedral ...
Vladimir F. Dem’yanov +3 more
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