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Second-order optimality conditions for nonlinear programs and mathematical programs. [PDF]
J Inequal Appl, 2017 Daidai I.
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Entropy-Based Age-Aware Scheduling Strategy for UAV-Assisted IoT Data Transmission. [PDF]
Entropy (Basel)Jing L, Wang H, Qin Z, Zhu P.
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Proximal-gradient algorithms for fractional programming. [PDF]
Optimization, 2017 Boţ RI, Csetnek ER.
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The Proximal Alternating Minimization Algorithm for Two-Block Separable Convex Optimization Problems with Linear Constraints. [PDF]
J Optim Theory Appl, 2019 Bitterlich S +3 more
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Deconfounded and debiased estimation for high-dimensional linear regression under hidden confounding with application to omics data. [PDF]
BioinformaticsLi Z, Liu Y, Wei K, Yu Y, Qin G, Zhu Z.
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On σ-Subdifferential Polarity and Fréchet σ-Subdifferential
Numerical Functional Analysis and Optimization, 2023The notion of -monotone polarity for -subdifferential is introduced and studied. Also, the concept of Fréchet -subdifferential is introduced and then some results regarding this concept are obtained. In addition, some particular relationships between the
M. H. Alizadeh, Javad Hosseinabadi
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Journal of Optimization Theory and Applications, 2021
This paper mainly studies the quadratic growth and the strong metric subregularity of the subdifferential of a function that can be represented as the sum of a function twice differentiable in the extended sense and a subdifferentially continuous, prox ...
N. H. Chieu, N. T. Q. Trang, Ha Anh Tuan
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This paper mainly studies the quadratic growth and the strong metric subregularity of the subdifferential of a function that can be represented as the sum of a function twice differentiable in the extended sense and a subdifferentially continuous, prox ...
N. H. Chieu, N. T. Q. Trang, Ha Anh Tuan
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IEEE Signal Processing Magazine, 2020
Many contemporary applications in signal processing and machine learning give rise to structured nonconvex nonsmooth optimization problems that can often be tackled by simple iterative methods quite effectively.
Jiajin Li, A. M. So, Wing-Kin Ma
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Many contemporary applications in signal processing and machine learning give rise to structured nonconvex nonsmooth optimization problems that can often be tackled by simple iterative methods quite effectively.
Jiajin Li, A. M. So, Wing-Kin Ma
semanticscholar +1 more source