Results 31 to 40 of about 1,963,970 (223)
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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Piecewise linear classifiers based on nonsmooth optimization approaches
, 2014 Nonsmooth optimization provides efficient algorithms for solving many machine learning problems. In particular, nonsmooth optimization approaches to supervised data classification problems lead to the design of very efficient algorithms for their ...
Ozturk, Gurkan +13 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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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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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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Weak Subdifferential in Nonsmooth Analysis and Optimization [PDF]
Journal of Applied Mathematics, 2011 Some properties of the weak subdifferential are considered in this paper. By using the definition and properties of the weak subdifferential which are described in the papers (Azimov and Gasimov, 1999; Kasimbeyli and Mammadov, 2009; Kasimbeyli and Inceoglu, 2010), the author proves some theorems connecting weak subdifferential in nonsmooth and ...
Sahlar F. Meherrem, Refet Polat
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Topological Aspects of Nonsmooth Optimization [PDF]
, 2011 This book deals with nonsmooth structures arising within the optimization setting. It considers four optimization problems, namely, mathematical programs with complementarity constraints, general semi-infinite programming problems, mathematical programs ...
Shikhman, Vladimir, Vladimir Shikhman
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Comparative Assessment of Smooth and Non-Smooth Optimization Solvers in Hanso Software
, 2021 Tor, Ali Hakan/0000-0003-3193-5004The aim of this study is to compare the performance of smooth and nonsmooth mization) software. The smooth optimization solver is the implementation of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method and the nonsmooth
Tor, Ali Hakan
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