Results 31 to 40 of about 1,802,858 (209)
One-Rank Linear Transformations and Fejer-Type Methods: An Overview
MathematicsSubgradient methods are frequently used for optimization problems. However, subgradient techniques are characterized by slow convergence for minimizing ravine convex functions.
Volodymyr Semenov +3 more
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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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A New Approach for Generalized Partial Derivatives of Non-smooth Functions
Walailak Journal of Science and Technology, 2014 In this paper, we define the functional optimization problems corresponding to multi-variable smooth functions, so that their optimal solutions are partial derivatives of these functions.
Hamid Reza ERFANIAN +2 more
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The Space Decomposition Theory for a Class of Semi-Infinite Maximum Eigenvalue Optimizations
Abstract and Applied Analysis, 2014 We study optimization problems involving eigenvalues of symmetric matrices. We present a nonsmooth optimization technique for a class of nonsmooth functions which are semi-infinite maxima of eigenvalue functions.
Ming Huang +3 more
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Journal of Inequalities and Applications, 2018 We consider a kind of nonsmooth optimization problems with l1 $l_{1}$-norm minimization, which has many applications in compressed sensing, signal reconstruction, and the related engineering problems.
Shouqiang Du, Miao Chen
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Topological Subdifferential and its Role in Nonsmooth Optimization with Quasiconvex Data [PDF]
Control and Optimization in Applied Mathematics, 2020 In this paper, we study nonsmooth optimization problems with quasiconvex functions using topological subdifferential. We present some necessary and sufficient optimality conditions and characterize topological pseudoconvex functions.
Hamed Soroush
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Mathematics, 2019 The aim of this article is to study new types of generalized nonsmooth exponential type vector variational-like inequality problems involving Mordukhovich limiting subdifferential operator.
Syed Shakaib Irfan +4 more
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Nonsmooth optimization and robust control [PDF]
Annual Reviews in Control, 2007 Many questions of robust control analysis and synthesis fundamentally involve nonsmooth sets and functions, and their variational properties. Central examples include distances to instability and uncontrollability, the H 1 norm, and pseudospectra.
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Abstract and Applied Analysis, 2013 The nonlinear conjugate gradient method is of particular importance for solving unconstrained optimization. Finitely many maximum functions is a kind of very useful nonsmooth equations, which is very useful in the study of complementarity problems ...
Yuan-yuan Chen, Shou-qiang Du
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A nonsmooth, nonconvex model of optimal growth [PDF]
Journal of Economic Theory, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Takashi Kamihigashi, Santanu Roy
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