A New Nonsmooth Bundle-Type Approach for a Class of Functional Equations in Hilbert Spaces
A new bundle-type approach for solving a class of functional equations is presented by combining bundle idea for nonsmooth optimization with common iterative process for functional equations.
Jie Shen +3 more
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Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments
The existing machine learning algorithms for minimizing the convex function over a closed convex set suffer from slow convergence because their learning rates must be determined before running them.
Kazuhiro Hishinuma, Hideaki Iiduka
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A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization [PDF]
Xiao Li, Andre Milzarek, Junwen Qiu
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Remora‐Inspired Sensing Suction Cup with Adhesion Monitoring and Force Detection
A suction cup with integrated liquid metal microchannel sensors enables stable multidirectional force sensing and adhesion monitoring in both air and water. The flexible resistive sensors, placed on the outer lip, transduce deformations into resistance changes under normal and shear loads.
Yuchen Liu +7 more
wiley +1 more source
Optimization problems with quasiconvex inequality constraints [PDF]
The constrained optimization problem min f(x), gj(x) 0 (j = 1, . . . , p) is considered, where f : X ! R and gj : X ! R are nonsmooth functions with domain X Rn.
Ginchev Ivan, Ivanov Vsevolod
core
Comparative numerical results on HANSO (Hybrid Algorithm for Nonsmooth Optimization) [PDF]
Ali Hakan Tor
openalex +1 more source
Adaptive gradient methods for some classes of nonsmooth optimization problems [PDF]
Fedor Stonyakin
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Stochastic Three-Operator Splitting Algorithms for Nonconvex and Nonsmooth Optimization Arising from FLASH Radiotherapy [PDF]
Fengmiao Bian +4 more
openalex +1 more source
Proximal Bundle Method for Contact Shape Optimization Problem
From the mathematical point of view, the contact shape optimization is a problem of nonlinear optimization with a specific structure, which can be exploited in its solution. In this paper, we show how to overcome the difficulties related to the nonsmooth
Nikola Plivova, Petr Beremlijski
doaj +1 more source
This paper proposes a new proximal iteratively reweighted nuclear norm method for a class of nonconvex and nonsmooth optimization problems. The primary contribution of this work is the incorporation of line search technique based on dimensionality ...
Zhili Ge, Siyu Zhang, Xin Zhang, Yan Cui
doaj +1 more source

