Results 71 to 80 of about 979 (183)
This paper investigates a distributed convex optimization problem whose objective contains three terms: a local smooth convex function, a local nonsmooth function, and a globally shared, possibly nonsmooth, nonseparable coupling function.
Zhe Li, Liang Ran, Jun Li, Lifeng Zheng
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A Decomposition Method with Redistributed Subroutine for Constrained Nonconvex Optimization
A class of constrained nonsmooth nonconvex optimization problems, that is, piecewise C2 objectives with smooth inequality constraints are discussed in this paper.
Yuan Lu, Wei Wang, Li-Ping Pang, Dan Li
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Nonsmooth analysis and optimization on partially ordered vector spaces
Interval-Lipschitz mappings between topological vector spaces are defined and compared with other Lipschitz-type operators. A theory of generalized gradients is presented when both spaces are locally convex and the range space is an order complete vector
Thomas W. Reiland
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This paper proposes an integrated control framework combining a nonsmooth observer and a switching feedback law to address the state estimation and tracking control challenges of sandwich systems with saturation nonlinearities.
Xufeng Liu, Zupeng Zhou
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We derive nonlocal necessary optimality conditions that strengthen both classical and nonsmooth Maximum Principles for nonlinear optimal control problems with free right-hand end of trajectories.
V.A. Dykhta
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We introduce a heuristic rule for calculating the stepsize in the subgradient method for unconstrained convex nonsmooth optimization which, unlike the classic approach, is based on retaining some information from previous iteration.
F. Carrabs, M. Gaudioso, G. Miglionico
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Clarke subdifferential and directional derivative theories are well developed for real functions. However, the nonsmooth analysis framework for interval mappings is still incomplete.
Shexiang Hai, Yanmei Zhang
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On Parallel Complexity of Nonsmooth Convex Optimization
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On a Monotone Scheme for Nonconvex Nonsmooth Optimization with Applications to Fracture Mechanics. [PDF]
Ghilli D, Ghilli D, Kunisch K.
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Delayed Star Subgradient Methods for Constrained Nondifferentiable Quasi-Convex Optimization
In this work, we consider the problem of minimizing a quasi-convex function over a nonempty closed convex constrained set. In order to approximate a solution of the considered problem, we propose delayed star subgradient methods.
Ontima Pankoon, Nimit Nimana
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