Results 101 to 110 of about 2,178 (210)
Diagnosis of Alzheimer's Disease Based on Accelerated Mirror Descent Optimization and a Three-Dimensional Aggregated Residual Network. [PDF]
Sensors (Basel), 2023 Tu Y, Lin S, Qiao J, Zhang P, Hao K.
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An effective line search for the subgradient method
One of the main drawbacks of the subgradient method is the tuning process to determine the sequence of steplengths. In this paper, the radar subgradient method, a heuristic method designed to compute a tuning-free subgradient steplength, is ...
Heredia, F.-Javier (Francisco Javier) +1 more
core
Tongxin xuebao, 2010 Network lifetime maximization in data-aggregated wireless sensor networks with multiple base stations by using geographic routing scheme was studied.To reduce the transmission overhead and avoid routing loops,home base station set potential descendent ...
TANG Wei, GUO Wei
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Control learning rate for autism facial detection via deep transfer learning. [PDF]
Signal Image Video Process, 2023 El Mouatasim A, Ikermane M.
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Ergodic Results In Subgradient Optimization
, 1995 : Subgradient methods are popular tools for nonsmooth, convex minimization, especially in the context of Lagrangean relaxation; their simplicity has been a main contribution to their success.
Ann-Brith Strömberg +5 more
core
Ergodic results in subgradient optimization
, 1996 Subgradient methods are popular tools for nonsmooth, convex minimization, especially in the context of Lagrangean relaxation; their simplicity has been a main contribution to their success.
Larsson, Torbjörn +2 more
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Journal of MathematicsIn this research, the modified subgradient extragradient method and K-mapping generated by a finite family of finite Lipschitzian demicontractions are introduced.
Sarawut Suwannaut
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An aggregate subgradient method for nonsmooth and nonconvex minimization
, 1986 This paper presents a readily implementable algorithm for minimizing a locally Lipschitz continuous function that is not necessarily convex or differentiable.
Kiwiel, Krzysztof C.
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Conditional Subgradient Optimization - Theory and Applications
, 1996 We generalize the subgradient optimization method for nondifferentiable convex programming to utilize conditional subgradients. Firstly, we derive the new method and establish its convergence by generalizing convergence results for traditional ...
Ann-Brith Strömberg +7 more
core
Surrogate "Level-Based" Lagrangian Relaxation for mixed-integer linear programming. [PDF]
Sci Rep, 2022 Bragin MA, Tucker EL.
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