Results 71 to 80 of about 1,963,970 (223)
Subgradient Smoothing Method for Nonsmooth Nonconvex Optimization
, 2021 In this chapter an unconstrained nonsmooth nonconvex optimization problem is considered and a method for solving this problem is developed. In this method the subproblem for finding search directions is reduced to the unconstrained minimization of a ...
A. M. Bagirov +7 more
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Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT We consider optimal control of the heat equation where the control variable appears linearly as a boundary control. We establish switching times optimization for bang–bang controls with multiple switching times. Particularly, representations of variational derivatives of the state and the cost w.r.t. switching times are given.
Georg Vossen
wiley +1 more source
Subgradient and bundle methods for nonsmooth optimization
, 2013 The nonsmooth optimization methods can mainly be divided into two groups: subgradient and bundle methods. Usually, when developing new algorithms and testing them, the comparison is made between similar kinds of methods.
Napsu Karmitsa +5 more
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Implementation of novel methods of global and nonsmooth optimization : GANSO programming library [PDF]
, 2007 We discuss the implementation of a number of modern methods of global and nonsmooth continuous optimization, based on the ideas of Rubinov, in a programming library GANSO.
Ugon, Julien, Beliakov, Gleb
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Abstract and Applied Analysis, 2013 We deal with complementarity problems over second-order cones. The complementarity problem is an important class of problems in the real world and involves many optimization problems.
Yasushi Narushima +2 more
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A quasisecant method for nonsmooth multiobjective optimization and its application in image restoration [PDF]
تصمیم گیری و تحقیق در عملیاتPurpose: The purpose of this paper is to present an efficient iterative method for solving unconstrained locally Lipschitz multiobjective optimization problems.
Zohreh Akbari
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Distributed stochastic nonsmooth nonconvex optimization
Operations Research Letters, 2022 Distributed consensus optimization has received considerable attention in recent years; several distributed consensus-based algorithms have been proposed for (nonsmooth) convex and (smooth) nonconvex objective functions. However, the behavior of these distributed algorithms on {\it nonconvex, nonsmooth and stochastic} objective functions is not ...
openaire +3 more sources
An Adaptive Multiple Shooting Strategy for Optimal Control
Optimal Control Applications and Methods, Volume 47, Issue 6, Page 1453-1471, November/December 2026.We study how multiple shooting affects the convergence of Newton‐type methods for optimal control, comparing several shooting strategies across 40 benchmark problems. The study covers interior‐point and sequential quadratic programming methods with both Quasi‐Newton approximations and exact Hessians.
Robert Lampel, Sebastian Sager
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An Inexact Nonsmooth Quadratic Regularization Algorithm
AxiomsThe quadratic regularization technique is widely used in the literature for constructing efficient algorithms, particularly for solving nonsmooth optimization problems.
Anliang Wang +2 more
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Mission‐Aligned Learning‐Informed Control of Autonomous Systems: Formulation and Foundations
Expert Systems, Volume 43, Issue 11, November 2026.ABSTRACT Research, innovation and practical capital investment have been increasing rapidly toward the realization of autonomous physical agents. This includes industrial and service robots, unmanned aerial vehicles, embedded control devices, and a number of other realizations of cybernetic/mechatronic implementations of intelligent autonomous devices.
Vyacheslav Kungurtsev +7 more
wiley +1 more source