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Proximal bundle methods for nonsmooth DC programming (Q2274891)

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Language	Label	Description	Also known as
English	Proximal bundle methods for nonsmooth DC programming	scientific article

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scholarly article

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Proximal bundle methods for nonsmooth DC programming (English)

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Welington de Oliveira

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Journal of Global Optimization

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publication date

1 October 2019

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zbMATH Keywords

DC programming

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nonsmooth optimization

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bundle methods

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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full work available at URL

https://doi.org/10.1007/s10898-019-00755-4

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Optimizing sensor cover energy via DC programming

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A Method for Minimization of Quasidifferentiable Functions

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A new nonsmooth optimization algorithm for minimum sum-of-squares clustering problems

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Non-Euclidean restricted memory level method for large-scale convex optimization

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Numerical optimization. Theoretical and practical aspects. Transl. from the French

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A generalized proximal linearized algorithm for DC functions with application to the optimal size of the firm problem

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A doubly stabilized bundle method for nonsmooth convex optimization

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Target radius methods for nonsmooth convex optimization

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Convex proximal bundle methods in depth: a unified analysis for inexact oracles

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Benchmarking optimization software with performance profiles.

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Generalized Bundle Methods

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Bundle methods for sum-functions with ``easy'' components: applications to multicommodity network design

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A DC piecewise affine model and a bundling technique in nonconvex nonsmooth minimization

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Minimizing nonsmooth DC functions via successive DC piecewise-affine approximations

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A Redistributed Proximal Bundle Method for Nonconvex Optimization

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A proximal bundle method for nonsmooth nonconvex functions with inexact information

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A Critical Note on Empirical (Sample Average, Monte Carlo) Approximation of Solutions to Chance Constrained Programs

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A production-transportation problem with stochastic demand and concave production costs

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System modeling and optimization. 25th IFIP TC 7 conference on system modeling and optimization, CSMO 2011, Berlin, Germany, September 12--16, 2011. Revised Selected Papers

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Sequential Convex Approximations to Joint Chance Constrained Programs: A Monte Carlo Approach

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Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming

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A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes

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The Cutting-Plane Method for Solving Convex Programs

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A DC optimization-based clustering technique for edge detection

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A Proximal Bundle Method with Approximate Subgradient Linearizations

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Exact penalty and error bounds in DC programming

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New variants of bundle methods

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Nonsmooth optimization via quasi-Newton methods

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Comparing nonsmooth nonconvex bundle methods in solving hemivariational inequalities

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Spectral bundle methods for non-convex maximum eigenvalue functions: first-order methods

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Computing B-Stationary Points of Nonsmooth DC Programs

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Convex Analysis

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Global convergence of a proximal linearized algorithm for difference of convex functions

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Convex analysis approach to d. c. programming: Theory, algorithms and applications

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Convex analysis and global optimization

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Eventual convexity of chance constrained feasible sets

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A strongly convergent proximal bundle method for convex minimization in Hilbert spaces

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Gradient Formulae for Nonlinear Probabilistic Constraints with Gaussian and Gaussian-Like Distributions

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Level bundle methods for constrained convex optimization with various oracles

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Constrained Bundle Methods for Upper Inexact Oracles with Application to Joint Chance Constrained Energy Problems

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Identifiers

zbMATH Open document ID

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Mathematics Subject Classification ID

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zbMATH DE Number

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10.1007/S10898-019-00755-4

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Sitelinks

Mathematics(1 entry)

mardi Publication:2274891

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