Results 21 to 30 of about 969 (184)
Mathematics, 2022 This article deals with the classes of approximate Minty- and Stampacchia-type vector variational inequalities on Hadamard manifolds and a class of nonsmooth interval-valued vector optimization problems.
Savin Treanţă +2 more
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Balanced Circular Packing Problems with Distance Constraints
Computation, 2022 The packing of different circles in a circular container under balancing and distance conditions is considered. Two problems are studied: the first minimizes the container’s radius, while the second maximizes the minimal distance between circles, as well
Tetyana Romanova +6 more
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EURO Journal on Computational Optimization, 2015 Many real-world optimization models comprise nonconvex and nonsmooth functions leading to very hard classes of optimization models. In this article, a new interior-point method for the special, but practically relevant class of optimization problems with
Martin Schmidt
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Nonsmooth Optimization Techniques for Semisupervised Classification [PDF]
IEEE 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
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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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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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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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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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