Results 11 to 20 of about 22,374 (199)

Nonsmooth Optimization Techniques for Semisupervised Classification [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2007
We apply nonsmooth optimization techniques to classification problems, with particular reference to the TSVM (Transductive Support Vector Machine) approach, where the considered decision function is nonconvex and nondifferentiable and then difficult to minimize.
Astorino A, FUDULI, Antonio
openaire   +5 more sources

Karush-Kuhn-Tucker optimality conditions for a class of robust optimization problems with an interval-valued objective function

open access: yesOpen Mathematics, 2020
In this article, we study the nonlinear and nonsmooth interval-valued optimization problems in the face of data uncertainty, which are called interval-valued robust optimization problems (IVROPs).
Zhao Jing, Bin Maojun
doaj   +1 more source

Lagrange optimality system for a class of nonsmooth convex optimization [PDF]

open access: yes, 2015
In this paper, we revisit the augmented Lagrangian method for a class of nonsmooth convex optimization. We present the Lagrange optimality system of the augmented Lagrangian associated with the problems, and establish its connections with the standard ...
Jin, Bangti, Takeuchi, Tomoya
core   +2 more sources

Lateral fligh control design for a highly flexible aircraft using a nonsmooth method [PDF]

open access: yes, 2009
This paper describes a nonsmooth optimization technique for designing a lateral flight control law for a highly flexible aircraft. Flexible modes and high-dimensional models pose a major challenge to modern control design tools.
Alazard, Daniel   +3 more
core   +1 more source

Robust Approximate Optimality Conditions for Uncertain Nonsmooth Optimization with Infinite Number of Constraints

open access: yesMathematics, 2018
This paper deals with robust quasi approximate optimal solutions for a nonsmooth semi-infinite optimization problems with uncertainty data. By virtue of the epigraphs of the conjugates of the constraint functions, we first introduce a robust type closed ...
Xiangkai Sun, Hongyong Fu, Jing Zeng
doaj   +1 more source

A limited memory BFGS subspace algorithm for bound constrained nonsmooth problems

open access: yesJournal of Inequalities and Applications, 2020
The subspace technique has been widely used to solve unconstrained/constrained optimization problems and there exist many results that have been obtained. In this paper, a subspace algorithm combining with limited memory BFGS update is proposed for large-
Xiangrong Li
doaj   +1 more source

A Novel Approach for Solving Nonsmooth Optimization Problems with Application to Nonsmooth Equations

open access: yesJournal of Mathematics, 2013
We present a new approach for solving nonsmooth optimization problems and a system of nonsmooth equations which is based on generalized derivative. For this purpose, we introduce the first order of generalized Taylor expansion of nonsmooth functions and
Hamid Reza Erfanian   +2 more
doaj   +1 more source

A modified three-term HS conjugate gradient method for solving nonsmooth minimizations

open access: yesJournal of Hebei University of Science and Technology, 2018
To improve the efficiency for large-scale nonsmooth optimization problems and overcome the large storage requirements and complex computation of other algorithms, a modified HS conjugate gradient algorithm for nonsmooth optimization problems is proposed.
Yong LI, Songhua WANG
doaj   +1 more source

Nonsmooth Optimization Control Based on a Sandwich Model with Hysteresis for Piezo–Positioning Systems

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2023
A nonsmooth optimization control (NOC) based on a sandwich model with hysteresis is proposed to control a micropositioning system (MPS) with a piezoelectric actuator (PEA).
Yang Sen   +3 more
doaj   +1 more source

Implementation of novel methods of global and nonsmooth optimization : GANSO programming library [PDF]

open access: yes, 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.
G. Beliakov   +4 more
core   +2 more sources

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