Results 141 to 150 of about 22,374 (199)

Nonsmooth Optimization Algorithms

1996
Quasidifferentiable and codifferentiable optimization algorithms are based on gradientlike, descent, iterative techniques whereas gradient information is replaced by the setvalued quasidifferential or the codifferential. Then the steepest descent finding subproblems are appropriately replaced by quadratic programming subproblems with a polyhedral ...
Vladimir F. Dem’yanov, Georgios E. Stavroulakis, Ludmila N. Polyakova, Panagiotis D. Panagiotopoulos   +3 more
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Nonsmooth Optimization Based Clustering Algorithms

2020
In this chapter, we describe the clustering algorithms based on nonsmooth optimization approaches. First, we present the modified global k-means algorithm. Then the fast modified global k-means algorithm and its modifications are discussed. The limited memory bundle clustering and the discrete gradient based clustering algorithms are also described ...
Adil Bagirov, Napsu Karmitsa, Sona Taheri   +2 more
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Nonsmooth Optimization Methods

1999
From the previous chapters we know that after the discretization, elliptic and parabolic hemivariational inequalities can be transformed into substationary point type problems for locally Lipschitz superpotentials and as such will be solved. There is a class of mathematical programming methods especially developed for this type of problems.
Jaroslav Haslinger, Markku Miettinen, Panagiotis D. Panagiotopoulos   +2 more
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Nonsmooth Convex Optimization

2020
In this chapter, we study an extension of the projected subgradient method for minimization of convex and nonsmooth functions, under the presence of computational errors. The problem is described by an objective function and a set of feasible points. For this algorithm, each iteration consists of two steps.
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On Mixed Integer Nonsmooth Optimization

2020
In this chapter we review some deterministic solution methods for convex mixed integer nonsmooth optimization problems. The methods are branch and bound, outer approximation, extended cutting plane, extended supporting hyperplane and extended level bundle method.
Westerlund Karl, Mäkelä Marko, Eronen Ville-Pekka, Westerlund Tapio   +3 more
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Nonsmooth variational-like inequalities and nonsmooth vector optimization

Optimization Letters, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alshahrani, M., Ansari, Q. H., Al-Homidan, S.   +2 more
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Necessary Conditions in Nonsmooth Optimization

Mathematics of Operations Research, 1984
The paper contains four theorems concerning first order necessary conditions for a minimum in nonsmooth optimization problems in Banach spaces: a Lagrange multiplier rule for a mathematical programming problem in which an infinite dimensional equality constraint is included in the constraints, a general maximum principle for nonsmooth optimal control ...
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Nonsmooth optimization: theory and algorithms

4OR, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nonsmooth optimization in optimal control

Proceedings of the 28th IEEE Conference on Decision and Control, 2003
The aim of this study is to apply nonsmooth optimization to optimal control problems. The author describes the main ideas of K.C. Kiwiel's (1985) generalized cutting plane method and to the bundle method due to C. Lemarechal (1977) for generating a descent direction. He presents an optimal control problem which is a model of an elastic deflected string,
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Theory of Nonsmooth Optimization

2020
Nonsmooth optimization refers to the general problem of minimizing or maximizing functions with discontinuous gradients. This chapter contains necessary information on theoretical nonsmooth optimization which is used to model clustering problems and to obtain necessary optimality conditions.
Adil M. Bagirov, Napsu Karmitsa, Sona Taheri   +2 more
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